In Operations, we turn molecules into medicine and are unified in our commitment to deliver more medicines to more patients more quickly. We are the critical link that brings innovation from our science labs to patients around the world.

We're achieving all of this while continuing to accelerate our operational excellence through innovative science, Lean ways of working, and evolving digital technologies.

Using cell therapy to halt and reverse disease, restore damaged organs, and, ultimately, cure many life-threatening conditions is now a realistic goal for our scientists and operators.

About Rockville Manufacturing Centre (RMC):

Our role in Operations is to bring these promising therapies from the lab to life through a thorough process of development, manufacturing, testing and supply.

Our fast-paced, growing environment provides a wealth of opportunity and global opportunities to learn from other teams, embrace lifelong learning and build capabilities, setting your own direction and pace for your long-term career.

Introduction to role:

Are you ready to develop an attitude of excellence? Join AstraZeneca's Operations team as the Quality Systems & Compliance Associate Director, Cell Therapy at the Rockville Manufacturing Centre (RMC) facility, the newest addition to our global supply network.

We aim to make a direct impact on patients by delivering life-saving cell therapies. This is your chance to break new ground and leave a collective legacy!

Accountabilities:

As the Quality Systems & Compliance Associate Director, Cell Therapy, you will provide leadership, direction and mentoring to ensure that the QS/C organisation is successful in meeting the quality and manufacturing objectives in support of site goals.

You will represent the QS/C department and/or the Quality Organisation on assigned site governance and operational teams internally, and as an empowered functional representative externally to ensure results are aligned with site business objectives.

You will facilitate the growth and development of QS/C staff, provide strategic support to the Quality Site Lead, Compliance and Site Support, for operational and long-term growth, and demonstrate excellent communication skills through internal and external channels.

Essential Skills/Experience:

• B.S. degree in Science, Engineering, Pharmacy, or related technical field with a minimum of 5 years of applicable experience

• Minimum of 2 years of management/supervisory/project management experience

• Experience in audit and inspection management

• Consistent record of working in a fast-paced, cross-functional work environment

• Excellent written and verbal communication skills

• Team oriented approach to project management and problem resolution

• Proven record of making decisions that balance patient safety, compliance, and supply

• Ability to influence senior collaborators, both internally and externally

• Ability to multi-task and prioritise work

Desirable Skills/Experience:

• M.S. degree in Science, Engineering, Pharmacy, or related technical field with a minimum of 5 years of applicable experience

• Advanced degree in Science, Engineering, Biochemistry, Pharmacy or related technical field

• Experience with Quality Systems (e.g. Veeva Vault) is desirable.

• Experience with Cell Therapy regulatory inspections

• Extensive working knowledge of international Cell Therapy GxP regulatory frameworks, regulations, and guidance.

• Experience engaging with global regulatory bodies

• Consistent track record of attracting and developing talent

Benefits:

AstraZeneca offers a competitive salary range of $129,556.80 - $194,335.20 USD Annual, a short-term incentive bonus opportunity, eligibility to participate in our equity-based long-term incentive program (salaried roles), to receive a retirement contribution (hourly roles), and commission payment eligibility (sales roles).

Benefits offered include a qualified retirement program (401(k) plan), paid vacation and holidays, paid leaves, and health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans.

Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employee will be in an 'at-will position' and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

At AstraZeneca, we champion a perspective of excellence. Our environment is driven by a belief that good can always be better. We continuously seek opportunities to contribute by harnessing science and evidence to foresee risks. It's a place where innovation thrives as we focus on delivering life-changing medicines to patients.

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You will be expected to serve as Oncology biology lead for one or more pipeline programs, working collaboratively with cross-functional teams to ensure the timely generation and dissemination of critical program data to enable milestone progression decisions. You will help set program strategy, and will be responsible for the delivery of key pre-clinical data that support a strong biological rationale for program progression.

As a highly organized, self-motivated individual with a strong background in cancer biology, you will stay up to date with relevant technical and intellectual scientific expertise in tumor biology and cancer modelling, particularly as it relates to antibody drug conjugates, and have a genuine passion for this field of research.

Main duties and responsibilities:

• Serve as Oncology biology lead for one or more pipeline programs
• Work collaboratively with cross-functional teams to ensure timely generation and dissemination of critical program data
• Help set program strategy and deliver key pre-clinical data
• Manage and mentor a team of direct reports

Essential requirements:

• Ph.D. with 5-10 years of research experience or Master’s degree with 8+ years within the pharmaceutical industry
• Demonstrated ability to lead cross-functional project teams
• Demonstrated management and leadership skills and a passion for mentorship
• Strong knowledge of solid tumor cancers, in-vitro and in-vivo pre-clinical models of cancer, cell biology, molecular biology, and/or biochemistry in the context of cancer biology
• Excellent verbal and written communication, presentation, and interpersonal skills

Desirable requirements:

• Prior experience in the biopharmaceutical industry
• Prior experience with antibody-drug conjugates

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In this role, you will drive an impactful gene editing program by identifying gene editing targets and alleles that result in desired phenotypic impact, working with a diverse set of data inputs to develop genotype-to-phenotype predictions using some of the industry's most extensive and global agriculture and genetic datasets.

As a member of the Biology and Genome Design community, you will actively build your own acumen and capabilities while modeling best practices for others and partnering closely with cross-functional scientific, engineering, and IT teams across the company.

Responsibilities

• Produce and document recommendations for alleles that deliver desired phenotypic impact, contributing to innovative gene editing strategies
• Develop and apply state-of-the-art genetic discovery tools to identify novel genetics with predicted optimal phenotypic performance by leveraging diverse genomic and phenotypic datasets
• Develop robust workflows and analysis pipelines that enable cross-team communication, data sharing, and decision-making, supporting iterative learning from key experiments to shape research direction
• Identify and refine methods for capturing complex genetic interactions and the influence of genetic variation on observed phenotypes to improve design and prediction for current and future gene editing pipelines
• Lead or assist in the gathering, curation, quality control, and analysis of new data sources (e.g., functional genomics, phenomics) across Research and Development (R&D) teams
• Collaborate closely with cross-functional and cross-cultural scientific, engineering, and IT partners to align gene editing and data science approaches with pipeline and business needs
• Influence key stakeholders by clearly communicating data-driven insights, challenges, and opportunities to facilitate solutions to complex scientific and technical problems

Requirements

• PhD in Biological Sciences, Computational Biology, or a related field
• At least 3 years of post-PhD experience working in gene editing, functional genomics, or closely related fields
• Demonstrated ability to collect, analyze, and leverage complex biological datasets and translate them into testable hypotheses
• Experience with advanced computational and analytical tools in molecular biology, genetics, and biochemistry
• Distinct communication skills with fluency in English, both written and verbal

Preferred Qualifications

• Educational preparation or applied experience in at least one of the following areas: Plant Biology, Genetics, Molecular Biology, Machine/Deep Learning, or other closely related discipline
• Demonstrated experience working collaboratively in cross-functional and cross-cultural teams to achieve common goals
• Ability to influence key stakeholders by articulating challenges and opportunities to drive solutions to complex scientific and organizational challenges
• Results-oriented mindset with demonstrated ability to prioritize and advance multiple projects at the enterprise level

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Your responsibilities will include: Monitoring and verifying daily compliance of SOPs Performing daily pre-operational and operational plant inspections Continuously monitoring that the site follows Good Manufacturing Practices (GMPs) Regularly ensuring compliance of all raw materials, packaging materials, products in process, and finished products to specifications Performing laboratory tests such as APC, Mold and yeast for finished product Performing in-process quality control lab testing Creating Certificate of Analysis for product release Maintaining logs and other records including inventory lab chemicals Complying with GMPs, PPE, sanitation procedures, general housekeeping and food safety and food defense practices and procedures Entering test results on lab data system and generating reports Resolving supplier quality issues with raw materials Maintaining working knowledge of all instruments used for routine and non-routine sample testing and troubleshooting Conducting timely root cause analysis and enforcing improvements to process controls Assisting in the start of processing operations in conjunction with production department Performing ATP, environmental and allergen swabbing to support plant operations Communicating raw material and product quality issues to management Performing other duties as assigned

To be successful in this role, you will need: Must be 18 years or older with the ability to read, write and speak English specific to work instructions including but not limited to safety purposes High school, GED, or equivalent diploma required 2-4 years schooling in Food Science, Microbiology, Chemistry, Biology, or related fields preferred 2+ years of lab testing experience Ability to work with minimal supervision Strong mathematics skills Excellent attention to detail Superior communication skills Excellent organization skills, and abilities to make decisions on quality issues Ability to exert up to 50 pounds of force at times and/or up to 20 pounds of force frequently, and/or up to 10 pounds of force constantly to lift, carry, push, pull or otherwise move objects, including the human body Ability to work in cold and hot environments (approximately 38F-80F degrees) Ability to be mobile in accomplishing tasks and or moving from one worksite (up to 1-mile range) to another

In return for your hard work, we offer a competitive salary and benefits package, including 20 paid vacation days plus sick time, really great benefits (yes, pet insurance is in there), free six packs of oatmilk, and genuinely great coworkers who are rooting for each other and the company to thrive.

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As an HFC Fellow, you'll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems,while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.

Responsibilities: Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex, domain-specific problems and datasets to rigorously evaluate AI models, and provide expert insights that enhance their accuracy, reasoning, and overall performance. HFC Community: Beyond the work, you'll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. Contribute to Research Publications: Collaborate with Scale's research team to co-author technical reports and research papers,boosting your academic visibility and professional recognition.

Who Should Apply: Education: PhDs, postdoctoral researchers, and professors with domain expertise in STEM fields such as Computer Science, Machine Learning, Physics, Biology, Chemistry, Mathematics, Humanities, or other related disciplines. Professional Mindset: Detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration.

Why Join the HFC? Professional Development: High-impact experts expand their influence through review projects, advisory roles, and research,while deepening their AI expertise, strengthening analytical and problem-solving skills, and engaging with pioneering AI applications in science and technology. Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions. Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments. Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location.

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As an HFC Fellow, you'll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems,while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.

Responsibilities: Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex, domain-specific problems and datasets to rigorously evaluate AI models, and provide expert insights that enhance their accuracy, reasoning, and overall performance.

HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.

Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers,boosting your academic visibility and professional recognition.

Who Should Apply: Education: PhDs, postdoctoral researchers, and professors with domain expertise in STEM fields such as Computer Science, Machine Learning, Physics, Biology, Chemistry, Mathematics, Humanities, or other related disciplines.

Professional Mindset: Detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration.

Why Join the HFC? Professional Development: High-impact experts expand their influence through review projects, advisory roles, and research,while deepening their AI expertise, strengthening analytical and problem-solving skills, and engaging with pioneering AI applications in science and technology.

Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions.

Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments.

Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location.

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Training on natural and experimentally-derived data is a core aspect of how our AI models learn to generate therapeutic molecules with exceptional properties. We invest deeply in building and scaling data sources to train and evaluate our models for maximal performance. At the same time, careful validation in orthogonal, translationally-relevant assays is crucial to orient our models.

We are seeking a senior scientific leader versed in high-throughput and translational biology to drive the continued growth and impact of our Palo Alto Lab. You will be a force multiplier for our scientists and engineers, ensuring a high standard of scientific rigor and output in a fast-paced, dynamic environment. You will also interface closely with our AI team to maximize the impact of internal data on Inceptive’s foundation models.

Your Mission, should you choose to accept it - Lead development and scale-up of high-throughput assays across in vitro, cellular, and in vivo systems, leveraging multiplexed assays and laboratory automation - Define and execute a lab strategy aligned with Inceptive’s therapeutic and platform priorities, while remaining flexible as modality and partnership needs evolve - Champion an interdisciplinary culture, encouraging curiosity, rigor, and collaboration across scientific boundaries - Manage, mentor, and develop a multidisciplinary team of scientists and engineers that rapidly generates high-impact biological data to improve and validate AI design models - Oversee the development of industry-standard validation assays to keep models and data generation aligned with downstream therapeutic application

Qualifications - PhD and 6+ years of post-PhD experience in industrial research applied to drug development - Experience managing and mentoring a data-driven lab of 10+ scientists - Experience using high-throughput and/or highly multiplexed assays to generate rich datasets from mammalian cells - Proven ability to set scientific direction while also executing operationally - Deep understanding of theory, techniques, and experimental design in molecular and cellular biology - Visualization, analysis, and statistics applied to complex biological datasets - Availability to work with team members across US and Europe, with meetings starting at 7am PT - Readiness to travel several times a year for company retreats and business events - We value in-person collaboration and expect candidates to work at our lab location

Preferred skills - Translational experience with mRNA, oligonucleotides, or other genetic medicines - Expertise in immunology and/or cell therapy - Hands-on experience in RNA biology and biochemistry - Scientific programming in Python - Hands-on experience with modern data engineering workflows

Compensation $245K – $305K + Bonus + Equity

What we offer - A competitive compensation package - 30 days paid vacation per year - Comprehensive health insurance for US based Beginners - 401K with company match for US based Beginners and Direktversicherung for German Beginners - Quarterly company-wide retreats - Monthly wellness benefit - Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland - Learning & Development budget to attend conferences, take courses, or otherwise invest in your professional growth, as well as access to the Learning & Development platform EdX and Hone - A buddy to help you get settled *Varies by country and does not apply to internships

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Our AI models learn to generate therapeutic molecules with improved properties by training on natural and experimentally-derived data. Acquiring data relevant to function at scale is a critical step in maximizing the performance of our models. We think broadly about the type and scale of data necessary to improve our models, then identify or invent the methods needed to acquire that data.

You will be responsible for the development and deployment of novel high-throughput assays to measure various properties of large sequence libraries. You will use a data-driven approach to optimize assays and apply chemical and biological insights to maximize the utility of information collected. You will apply this data to efficiently improve design of therapeutic molecules in close collaboration with biologists, ML and data engineers, and translational experts.

Responsibilities

• Embody our vision of an interdisciplinary environment and embrace learning about areas outside of your traditional area of expertise

• Collaborate with team members from diverse backgrounds to create experiments that creatively leverage biology and computation

• Develop and execute pooled assays to measure sequence-to-function in vitro, in cells, and in vivo

• Generate, analyze, and communicate data that maximally impacts AI-based molecular design

Qualifications

• PhD and 4+ years of post-PhD experience (e.g., startup, industry, or research)

• Problem-solver who combines deep knowledge of experimental methods with quantitative intuition to generate biological data at and beyond the state-of-the-art

• Solid foundation in theory and techniques of molecular and cellular biology

• History of building highly multiplexed assays to generate rich datasets from mammalian cells, such as large functional screens or single-cell 'omics

• Scientific programming (preferably in Python), including analysis and visualization of complex data

• Availability to work with team members across US and Europe, with meetings starting at 8am PT

• Readiness to travel several times a year for company retreats and business events

• We value in-person collaboration and expect candidates to work at our lab location

Preferred skills

• Experience with mammalian synthetic biology, particularly for cell therapy applications

• Knowledge of RNA biology, biochemistry, and biologics drug development

• Strong understanding of next-generation sequencing platforms (Illumina, Oxford Nanopore, Pac Bio), including library preparation and data analysis

• Experience generating and analyzing large 'omics datasets, via sequencing and/or mass spectrometry

Compensation

$135K – $240K + Bonus + Equity

What we offer

• A competitive compensation package

• 30 days paid vacation per year

• Comprehensive health insurance for US based Beginners

• 401K with company match for US based Beginners and Direktversicherung for German Beginners

• Quarterly company-wide retreats

• Monthly wellness benefit

• Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland

• Learning & Development budget to attend conferences, take courses, or otherwise invest in your professional growth, as well as access to the Learning & Development platform EdX and Hone

• A buddy to help you get settled

*Varies by country and does not apply to internships

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Associate Director, Analytical Development & QC

About the Position

We are seeking a highly motivated, self-driven and detail-oriented Associate Director of Analytical Development and Quality Control to join our CMC team.

This role will provide broad exposure across Formation Bio's portfolio, requiring the ability to flex between small molecule and biologics programs at different phases of development in an outsourced development model, requiring strong technical skillset, vendor management, and the ability to balance scientific rigor with program timelines.

Responsibilities

• In close collaboration with CDMOs and contract testing laboratories, lead development, optimisation and validation of phase-appropriate analytical methods for small molecule and biologics drug substances and drug products.
• Manage testing (in-process, release, stability) at CDMOs and contract testing laboratories.
• Provide technical oversight for method transfers, comparability assessments, and laboratory readiness.
• Lead selection, qualification, and ongoing performance management of external analytical vendors.
• Oversee and manage Formation Bio's stability studies across all programs, including review and approval of stability protocols and review and trending of stability data to support shelf-life and retest dating. Track and publish stability program metrics. Act as the primary contact for stability-related inquiries.
• Oversee and manage Formation Bio's critical reagents and reference standards inventory and testing.
• Lead investigations of release and stability OOS and OOT results, deviations, CAPAs and change controls.
• Author and review analytical sections of CMC documents, including protocols, reports, and regulatory submissions.
• Author and review of SOPs and work instructions.
• Closely collaborate with CMC, QA, and Regulatory teams.

About You

• Analytical Chemistry, Biochemistry, Molecular Biology, or a related discipline Master's degree with 5+ years or Bachelor's Degree with 8+ years of relevant small molecule and biologics analytical development and QC experience.
• Proven ability to operate effectively in a fast-paced, virtual, and outsourced development environment.
• Highly organised with a track record of managing multiple priorities across programs in an outsourced development model.
• Strong scientific judgement with the ability to independently assess data quality, identify risks, and recommend mitigation strategies.
• Ability to communicate complex analytical concepts clearly to both technical and non-technical stakeholders.
• Collaborative mindset with a strong sense of ownership and accountability.
• Extensive hands-on experience developing, optimising, and validating analytical methods for release and stability testing of small molecules and biologics.
• Hands-on experience with analytical methods pertinent to bilogics (qPCR, IEF, UHPLC, MS, CE, SDS-PAGE, ELISA, peptide mapping, glycan analysis, etc.) and small molecules (UHPLC, IC, GC, IR, UV, KF, PSD, dissolution, etc.).
• Experience with authoring and reviewing technical documents such as test methods, method development reports, validation protocols, validation reports, specification justification reports, retest and shelf-life memos, and SOPs.
• Experience with designing stability studies and performing stability data trending according to applicable guidances.
• Strong working knowledge of Smartsheet and JMP.
• Thorough understanding of ICH, FDA, EMA guidances and GMP requirements governing process development, manufacturing, and stability.
• Ability to travel domestically and internationally up to 25% of the time.

Total Compensation Range

$177,000 - $235,000

Where We Hire

Formation Bio is prioritising hiring in key hubs, primarily the New York City and Boston metro areas, with a hybrid model requiring 3 days per week in office. Applicants from the Research Triangle (NC) and San Francisco Bay Area may also be considered. Please apply only if you reside in these locations or are willing to relocate.

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Key responsibilities include:

• Weigh, dose and mix solid rocket fuel ingredients
• Perform nozzle and igniter assembly operations
• Install igniter and/or nozzle assemblies onto multiple different types of solid rocket motors
• Data collection and data entry
• Clean and reset multiple types of tooling

Required qualifications include 6+ years of experience building solid rocket motors, experience handling dangerous and/or toxic chemicals, and proficiency with reading and using equipment such as calipers, scales, and gages.

Preferred qualifications include experience in chemistry, manufacturing, or similar fields, experience with the aerospace and defense industries, and eligibility to obtain and maintain an active U.S. Secret security clearance.

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You will work at the intersection of AI safety and CBRN security, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against threat actors who may attempt to leverage our AI technology for developing weapons, synthesizing dangerous compounds, or creating biological harm.

Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays.

Responsibilities:

• Detect and investigate attempts to misuse Anthropic's AI systems for developing, enhancing, or disseminating CBRN-E weapons, pathogens, toxins, or other threats to harm people, critical infrastructure, or the environment

• Conduct technical investigations using SQL, Python, and other tools to analyze large datasets, trace user behavior patterns, and uncover sophisticated CBRN-E threat actors

• Develop CBRN-E-specific detection capabilities, including abuse signals, tracking strategies, and detection methodologies tailored to dual-use research concerns

• Create actionable intelligence reports on CBRN-E attack vectors, vulnerabilities, and threat actor TTPs leveraging AI systems

• Conduct cross-platform threat analysis grounded in real threat actor behavior, open-source research, and publicly reported programs

• Collaborate with policy and enforcement teams to make informed decisions about user violations and ensure appropriate mitigation actions

• Engage with external stakeholders including government agencies, regulatory bodies, scientific organizations, and biosecurity/chemical security research communities

• Inform safety-by-design strategies by forecasting how threat actors may leverage advances in AI technology for CBRN-E purposes

You may be a good fit if you

• Have deep domain expertise in biosecurity, chemical defense, biological weapons non-proliferation, dual-use research of concern (DURC), synthetic biology, or related CBRN-E threat domains

• Have demonstrated proficiency in SQL and Python for data analysis and threat detection

• Have experience with threat actor profiling and utilizing threat intelligence frameworks

• Have hands-on experience with large language models and understanding of how AI technology could be misused for CBRN-E threats

• Have excellent stakeholder management skills and ability to work with diverse teams including researchers, policy experts, legal teams, and external partners

• Can present analytical work to both technical and non-technical audiences, including government stakeholders and senior leadership

Strong candidates may also have

• Advanced degree (MS or PhD) in biological sciences, chemistry, biodefense, biosecurity, or related field

• Real-world experience countering weapons of mass destruction or other high-risk asymmetric threats

• Experience working with government agencies or in regulated environments dealing with sensitive CBRN-E information

• Background in AI safety, machine learning security, or technology abuse investigation

• Familiarity with synthetic biology, biotechnology, or dual-use research

• Experience building and scaling threat detection systems or abuse monitoring programs

• Active Top Secret security clearance

The annual compensation range for this role is $230,000-$290,000 USD.

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Ultima Genomics is a rapidly growing company that is developing ground-breaking genomics technologies. Our mission is to continuously drive the scale of genomic information to enable unprecedented advances in biology and improvements in human health.

We have developed a foundational new approach to sequencing at scale that overcomes limitations due to the high costs of current technologies. We are well-funded and have raised approximately $600 million from global top-tier investors.

Our team brings together unique and diverse expertise across multiple disciplines, from healthcare and life sciences, to engineering, to technology and software and beyond. We are a collaborative group, including successful entrepreneurs, chemists, hardware and software engineers, genomics and biotechnology experts, molecular and computational biologists, software and algorithm experts, and operations and commercial leaders.

Join us to develop and commercialize technologies that unleash the power of genomics at scale and empower the future of human health.

Responsibilities

• Work in a fast-paced cross-functional, technologically advanced corporate environment in an internship program focused on developing individuals capable of pursuing careers in biotech
• Improve your industry knowledge through a collaborative work environment

Qualifications, Skills, Knowledge & Abilities

• Currently a student in an accredited degree program pursuing a bachelor’s degree in Chemistry, Biology, Biotechnology or closely related disciplines
• Have an overall cumulative GPA of 3.00/4.00 or higher
• Onsite work schedule, Monday-Friday (40 hours per week) for at least 8 weeks during summer 2026
• Previous hands-on lab experience (school or industry) is strongly preferred
• Self-motivated, detail-oriented, willing to learn, and interested in working in a team environment
• Great work ethic and an enthusiasm for problem-solving
• Good presentation, writing and communication skills
• Strong organizational and analytical skills

What to include when you apply:

• Resume (PDF)
• Unofficial academic transcripts
• Cover letter should include:

• Description of your relevant experience and qualifications
• List your availability for the internship (start date and end date)
• Expected graduation year
• How you found out about the internship

Internship Details

This internship pays between $22 and $25 per hour, and your hourly rate will depend on your skills, qualifications, experience, and location.

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The design space of biomolecules is unimaginably vast , far beyond what can be explored experimentally. Yet within this space lie molecules with properties essential for new medicines. Our machine learning models learn to design therapeutic biomolecules with specific, desirable functions.

We advance the state of the art in molecular design by training large-scale foundation models and developing cutting-edge generative approaches. The models learn from diverse heterogeneous datasets and are refined through focused fine-tuning and feedback from experiments. Key to progress is a team that combines exceptional machine learning expertise with thorough domain understanding.

You will collaborate closely with other machine learning researchers and engineers, as well as computational and experimental biologists, to advance these models and translate their capabilities into real therapeutic designs.

Responsibilities

• Embody our vision of an interdisciplinary environment and embrace learning about areas outside of your traditional area of expertise

• Develop, implement, train, and iteratively improve state-of-the-art models for biomolecule design

• Analyze, visualize, and communicate results to support team efforts in improving models and data

• Create, deploy, and refine tools for efficient, reliable machine learning experimentation and production

• Work with biologists to collect data for the training and evaluation of generative models of biomolecules

• Provide mentorship and technical direction to team members as appropriate

Qualifications

• 3+ years of hands-on experience developing ML models

• Demonstrated track record of implementing, training, improving advanced machine learning models

• Highly capable programmer fluent in Python ecosystem and PyTorch or similar deep learning framework

• Availability to work with team members across US and Europe, with meetings starting at 8am PT and ending at 7pm CET

• Readiness to travel several times a year for company retreats and business events

Compensation

$200K – $275K + Bonus + Equity

Benefits

• A competitive compensation package

• 30 days paid vacation per year

• Comprehensive health insurance for US based employees

• 401K with company match for US based employees and Direktversicherung for German employees

• Quarterly company-wide retreats

• Monthly wellness benefit

• Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland

• Learning & Development budget to attend conferences, take courses, or otherwise invest in your professional growth, as well as access to the Learning & Development platform EdX and Hone

• A buddy to help you get settled

At Inceptive, we are creating tools to develop increasingly powerful biological software for the rational design of novel, broadly accessible medicines and biotechnologies previously out of reach. Our team brings together vast expertise in molecular biology, machine learning, and software engineering, and we are all working towards becoming interdisciplinary, meaning we deepen the knowledge we have in our area of expertise while also expanding our knowledge of completely new fields.

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We're a multidisciplinary team building state-of-the-art generative models in chemistry & materials to accelerate scientific breakthroughs.

As a Research Scientist in our Science unit, you will be at the forefront of applying generative AI to the "Grand Challenge" of predicting the structure and properties of complex matter.

Your work will bridge the gap between in silico modeling and real-world laboratory discovery, particularly in areas where traditional computational methods are bottlenecked by time and complexity.

Key responsibilities:

• Design and train advanced AI models (transformers, generative models, etc.) to model the structure and properties of complex physical systems.

• Develop deep understanding of scientific domains that can be used to identify novel modelling approaches.

• Design and execute robust ML experiments that allow for the accumulation of small improvements, sharing results through clear verbal and written communication.

• Collaborate with other scientists and engineers to help shape the research roadmap.

About You

You are fascinated by the intersection of AI and natural science and determined to help solve grand challenges facing humanity.

In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:

• PhD / equivalent experience in computer science, computational chemistry, materials science, physics with a focus on atomistic simulation or structural biology.

• Fluency in generative models and transformers

• Excellent collaboration and communication skills

• Experience with modern deep learning frameworks

In addition, the following would be an advantage:

• Record of high-impact published work at the intersection of AI and natural science, particularly chemistry and materials science.

• Demonstrated experience in geometric deep learning.

Applications close on Monday 20th April at 5pm BST

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The Operations & Maintenance Technician is responsible for the safe, reliable, and efficient operation and maintenance of a 1.2 GW behind-the-meter simple-cycle load following facility.

This is a true multi-skilled "hybrid" position requiring proven hands-on expertise in control room operations, mechanical maintenance, electrical, instrumentation & controls (I&C), and water treatment/chemistry for the LM6000 platform.

Responsibilities

• Perform Control Room Operator duties:

Safely start, operate, monitor, and shut down LM6000 gas turbines and BOP systems. Execute fast-start dispatches, respond to alarms, and provide effective communication to the facility operations team. Maintain shift logs, LOTO records, and regulatory compliance documentation

• Perform Mechanical maintenance specific to LM6000:

Perform Level 1–2 maintenance, borescope inspections, combustor/TBC inspections, and unit alignment. Replace VBV/IGV actuators, perform lube oil system maintenance, and service starters/clutches

• Perform Electrical maintenance:

Test and maintain 13.8 kV switchgear, generator breakers, and MODs Test exciter, and AVR; calibrate protective relays; support black-start diesel Troubleshoot 480 V MCCs, test motors, and perform infrared thermography

• Perform Instrumentation & Controls (I&C) duties:

Calibrate and troubleshoot vibration, temperature, pressure, and speed sensors Test fire & gas systems (Det-Tronics, etc.) and perform loop checks

• Perform Water Treatment & Chemistry duties:

Operate Reverse Osmosis/demineralized water system daily for NOx water, SPRINT, fogging, and water wash system. Test water purity (conductivity, silica, TDS, ph), dose chemicals, and regenerate resin beds

• Execute LOTO, hot work, confined-space permits
• Lead or support scheduled LM6000 borescope, combustion, and hot section outages
• Maintain critical spares inventory and CMMS records.
• Mentor apprentices and contractors

Basic Qualifications

• Minimum 2–5 years of direct hands-on experience on LM 6000 aeroderivative turbines (Level 1/2/3 maintenance qualified strongly preferred)
• Demonstrated competency in at least three of the five core disciplines: Control Room Operations, Mechanical, Electrical, I&C, and Water Treatment/Chemistry
• Ability to read and interpret LM6000-specific P&IDs, electrical one-line diagrams, Medium-voltage experience is a plus
• Strong computer skills
• Valid driver’s license and ability to pass background check, drug screen, respiratory fit test, and physical
• Physical Requirements:

Work at heights, in confined spaces, and around high-voltage equipment Lift 50+ lbs repeatedly, climb turbine enclosures, and wear full PPE including respirator Tolerate high heat and humidity inside LM6000 enclosures and outdoor extreme weather conditions

Preferred Skills and Experience

• LM6000 Level 1, 2, or 3 Maintenance Certification
• DCS Maintenance & Troubleshooting
• NFPA 70E Electrical Safety
• Vibration Analyst Category II or higher

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This role offers a unique opportunity to shape how AI systems handle sensitive chemical and explosives information. You'll work with leading AI safety researchers while tackling critical problems in preventing catastrophic misuse. If you're excited about using your expertise to ensure AI systems remain safe and beneficial, we want to hear from you.

Responsibilities:

• Design and implement evaluation methodologies for assessing AI model capabilities relevant to chemical weapons, explosives synthesis, and energetic materials

• Develop and execute strategies to identify and mitigate potential C/E misuse in model outputs

• Create C/E threat models, including precursor identification, synthesis routes, and weaponization techniques

• Review and analyze traffic to identify potential policy violations related to C/E content

• Collaborate with software engineers to develop and refine detection systems and automated enforcement tools for C/E threats

• Conduct rapid response to escalations involving dangerous C/E queries

• Collaborate across teams to establish safety benchmarks and develop appropriate model guardrails

• Translate C/E domain knowledge into actionable safety requirements

• Develop approaches to assess C/E model knowledge boundaries for dual-use chemical information

• Monitor emerging threats in the C/E landscape to inform policy development

You may be a good fit if you:

• Have a Ph.D. in Chemistry, Chemical Engineering, or a related field with focus on energetic materials, explosives, and/or chemical weapons

• Have 5-8+ years of experience in chemical weapons and/or explosives defense, with deep expertise in energetic materials, chemical weapon agents, or related areas

• Have knowledge of high yield explosives application to radiological dispersal devices (dirty bombs) and related radiological weapons

• Have a track record of translating specialized technical knowledge into actionable safety policies or guidelines

• Are comfortable navigating ambiguity and developing solutions for novel safety challenges

• Can work independently while maintaining strong collaboration with cross-functional teams including engineering, enforcement, and research

• Thrive in a fast-paced environment where you balance rigorous scientific standards with rapid threat response

• Are passionate about preventing misuse of dangerous technical knowledge while enabling beneficial applications

Strong candidates may have:

• Experience with both chemical weapons and high yield explosives defense

• Experience working with defense, intelligence, or nonproliferation organizations (e.g., OPCW, IAEA, national labs, defense contractors)

• Published research or practical experience in explosives characterization, chemical weapons detection, or related security applications

• Knowledge of international chemical weapons conventions (CWC) and controlled substances regulations

• Demonstrated ability to communicate complex technical concepts to non-specialist audiences

• Experience with chemical databases (PubChem, Reaxys, SciFinder) and computational chemistry tools

• Understanding of radiological materials and their interaction with explosive dispersal mechanisms

• Familiarity with dual-use C/E research concerns and responsible disclosure practices

The annual compensation range for this role is $245,000-$285,000 USD.

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We're looking for a Research Scientist to join our Science unit, where you'll be at the forefront of applying generative AI to predict the structure and properties of complex matter.

As a Research Scientist, you'll design and train advanced AI models to model the structure and properties of complex physical systems, develop a deep understanding of scientific domains, and collaborate with other scientists and engineers to shape the research roadmap.

Key responsibilities include designing and executing robust ML experiments, accumulating small improvements, and sharing results through clear verbal and written communication.

To succeed in this role, you'll need a PhD or equivalent experience in computer science, computational chemistry, materials science, physics, or a related field, with fluency in generative models and transformers.

Experience with modern deep learning frameworks and a record of high-impact published work at the intersection of AI and natural science are also advantageous.

Applications close on Monday 20th April at 5pm BST.

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Key responsibilities include:

• Design and execute capability evaluations to assess the capabilities of new models
• Collaborate closely with internal and external threat modeling experts to develop training data for our safety systems, and with ML engineers to train these safety systems, optimizing for both robustness against adversarial attacks and low false-positive rates for legitimate researchers
• Analyze safety system performance in traffic, identifying gaps and proposing improvements
• Develop rigorous stress-testing of our safeguards against evolving threats and product surfaces
• Partner with Research, Product, and Policy teams to ensure biological safety is embedded throughout the model development lifecycle
• Contribute to external communications, including model cards, blog posts, and policy documents related to biological safety
• Monitor emerging technologies for their potential to contribute to new risks and new mitigation strategies, and strategically address these

You may be a good fit for this role if you have a PhD in molecular biology, virology, microbiology, biochemistry, systems or computational biology, or a related life sciences field, or equivalent professional experience. You should also have extensive experience in scientific computing and data analysis, with proficiency in programming (Python preferred), deep expertise in modern biology, including both 'reading' and 'writing' techniques in biology, familiarity with dual-use research concerns, select agent regulations, and biosecurity frameworks, strong analytical and writing skills, and a passion for learning new skills and adapting to changing techniques and technologies.

Preferred qualifications include background in AI/ML systems, particularly experience with large language models, experience in developing ML for biological systems, and extensive experience in complex projects with multiple stakeholders.

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You will collaborate closely with our technical team to support the training of new AI tasks, contributing to innovative initiatives. Your responsibilities include refining annotation tools and selecting complex problems from advanced materials science fields to drive significant improvements in model performance.

This involves gathering or providing data in text, voice, and video formats, including annotations, audio recordings, or video sessions,tasks with which you must be comfortable and eager to engage.

This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial.

The AI Tutor - Materials Science Specialist role is a remote position. We prefer candidates available for full-time employment, but exceptional applicants seeking part-time opportunities will also be considered.

Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Solve problems that help drive innovation in materials by guiding AI models to enhance research in specialized areas, improving outcomes in scientific discovery and application.
• Choose problems from various fields across materials science that align with your specialization, where you can confidently provide detailed solutions and evaluate model responses.
• Regularly interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications:

• Master’s or PhD in materials science, physics, chemistry, chemical engineering, or a highly related field.
• Expertise and specialization in a materials-related subdomain, including but not limited to energy materials, semiconductors, nanomaterials, metals, alloys, biomaterials, polymers, elastomers, ceramics, or glasses.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources, databases, and online resources is essential.
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.
• Strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience:

• Advanced expertise in materials science, demonstrated by multiple publications, or patents, preferably with one or more first-author papers, in reputable peer-reviewed journals.
• Previous AI Tutoring experience.
• Teaching experience (as a professor, teacher, or tutor).
• Experience in technical writing, journalism, or a professional writing setting.

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This role involves collaborating closely with our technical team to support the training of new AI tasks, contributing to innovative initiatives. Your responsibilities include refining annotation tools and selecting complex problems from advanced Earth Science fields to drive significant improvements in model performance.

This opportunity demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial.

Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Solve problems that help drive innovation in Earth Science disciplines by guiding AI models to enhance research in specialized areas, improving outcomes in scientific discovery and application.
• Choose problems from various fields across Earth Science disciplines that align with your specialization, where you can confidently provide detailed solutions and evaluate model responses.

Basic Qualifications:

• Master’s or PhD in earth science, geophysics, oceanography, atmospheric science, or a highly related field.
• Expertise and specialization in an Earth Science subdomain, including but not limited to oceanography, geophysics, geochemistry, atmospheric science, geology, seismology.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources, databases, and online resources is essential.
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.
• Strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience:

• Advanced expertise in earth science, as demonstrated by multiple publications, preferably with one or more first-author papers, in reputable peer-reviewed journals.
• Previous AI Tutoring experience.
• Teaching experience (as a professor, teacher, or tutor).
• Experience in technical writing, journalism, or a professional writing setting.

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You will collaborate closely with our technical team to support the training of new AI tasks, contributing to innovative initiatives. Your responsibilities include refining annotation tools and selecting complex problems from advanced chemical sciences to drive significant improvements in model performance.

This involves gathering or providing data in text, voice, and video formats, including annotations, audio recordings, or video sessions,tasks with which you must be comfortable and eager to engage.

The AI Tutor - Chemistry Specialist role is a remote full-time or part-time position.

Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.

• Support and ensure the delivery of high-quality curated data.

• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.

• Collaborate with the technical staff to enhance the design of efficient annotation tools.

• Solve problems that help drive innovation in chemical sciences by guiding AI models to enhance research in specialised areas, improving outcomes in scientific discovery and application.

• Choose problems from fields across chemistry that align with your expertise in specialised subdomains, including, but not limited to, organic chemistry, physical chemistry, analytical chemistry, inorganic chemistry, computational chemistry, polymer chemistry, nuclear chemistry, or medicinal chemistry, where you can confidently provide detailed solutions and evaluate model responses.

• Regularly interpret, analyse, and execute tasks based on given instructions.

Basic Qualifications:

• Master’s or PhD in a chemistry-related field.

• Expertise in chemistry-related subdomains, including, but not limited to, Organic Chemistry, Physical Chemistry, Analytical Chemistry, Inorganic Chemistry, Organometallic Chemistry, Biochemistry, Nuclear Chemistry, Computational/Theoretical Chemistry, Polymer/Materials Chemistry, Medicinal Chemistry, Catalysis, Surface/Colloid Chemistry, or Drug Discovery.

• Proficiency in reading and writing, both in informal and professional English.

• Strong ability to navigate various information resources, databases, and online resources is essential.

• Outstanding communication, interpersonal, analytical, and organisational capabilities.

• Solid reading comprehension skills combined with the capacity to exercise autonomous judgement even when presented with limited data/material.

• Strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience:

• Advanced expertise in chemistry, demonstrated by multiple publications, including at least one first-author paper, in reputable peer-reviewed journals.

• Previous AI Tutoring experience.

• Teaching experience (as a professor, teacher, or tutor).

• Experience in technical writing, journalism, or a professional writing setting.

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The role reports to Manager, Scientific Operations. This role will be an onsite role based in our Brisbane, California headquarters.

Responsibilities:

• Perform routine lab work including pre-analytical sample processing, plasma isolation, and downstream genomics and proteomics assay processing.
• Operate liquid handler instruments to carry out experiments.
• Troubleshoot instrument and sample processing errors as needed; escalate and report issues through appropriate channels as needed.
• Identify and implement process improvements across the lab by thinking critically about the execution of all experiments.
• Verify all aspects of incoming specimens and assess acceptability for analytical testing.
• Maintain documentation for executed experiments.
• Perform equipment maintenance according to the laboratory's standard operating procedures for the following but not limited to: Hamiltons, Biosafety Cabinets, centrifuges, freezers, refrigerators, and pipettes, as needed.
• Assist with training of new laboratory personnel and training of new procedures with existing personnel.
• Document all corrective actions taken when test systems deviate from the laboratory's established performance specifications.
• Report all concerns of test quality and/or safety to the Supervisor or Safety Officer.
• Perform other miscellaneous laboratory duties as assigned and assist others as time allows.

Requirements:

• Bachelor's degree or Master's degree in molecular biology, biochemistry, genetics, chemical biology, or a related field.
• 2+ years relevant industry experience in a laboratory setting.
• Experience working with 96 or 384 well plate format assays.
• Proven track record of following SOPs, work instructions or experimental designs to completion.
• Strong organizational skills and attention to detail.
• Ability to work, execute, and troubleshoot protocols independently.

Nice to Have:

• Working understanding of GLP.
• Experience with NGS library preparation and/or sequencing.
• Experience with ELISA, Luminex, or other immunoassays.
• Familiarity with Liquid Handlers - Bravo, Hamilton, etc.

Benefits and Additional Information:

The US target range of our hourly rate for new hires is $37.68 - $46.69. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered. Please note that individual total compensation for this position will be determined at the Company's sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education.

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This person will work cross-functionally with Research & Development, Automation, Computation Science, Quality, Regulatory, Laboratory Operations, and Program Management on the development, characterization, scale-up and transfer of complex methodologies, processes and assays to Operations.

You will apply hands-on knowledge of molecular biology, nucleic-acid biochemistry and next generation sequencing to develop and optimize NGS based methods and processes.

Key responsibilities include:

• Execute experiments to characterize and optimize NGS workflows, converting prototypes into high-throughput automated assays.
• Participate in data analysis and visualizations to answer experimental questions and identify areas for workflow optimization.
• Present findings at team meetings and prepare technical reports for internal and external stakeholders.
• Collaborate with cross-functional teams to integrate process improvements into the overall diagnostic workflow.
• Assist with generating Standard Operating Procedures and Work Instructions with Laboratory Operations and Clinical Laboratory for transfer.
• Support troubleshooting workflow issues, perform root-cause determinant experiments and propose effective data-driven solutions.
• Maintain detailed records of experiments, data, results and methodologies in compliance with Good Laboratory and Documentation Practices (cGLP, cGDP).

Requirements include:

• Bachelor’s or Master’s in Molecular Biology, Genetics, Biochemistry, or a related field with 2+ years of relevant industry experience.
• Hands-on experience in NGS based techniques, including nucleic acid extraction, library preparation, and sequencing.
• Experience with handling plasma and cfDNA in NGS workflows with low-volume, plate-based assay formats.
• Effectively communicates with team and cross-functional partners.
• High attention to detail - record and document accurate, objective observations, assess impact, and perform troubleshooting as needed.
• Excellent problem-solving skills, proactively looks for potential roadblocks, characterizes root causes to problems and collaborates with appropriate stakeholders.
• Ability to work independently as well as part of a cross-functional team.
• Flexible and adaptable to change and embrace a fluid work environment.

Nice to have:

• Familiarity in a common scientific programming language (e.g., Python, R)

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Key Responsibilities:

• Lead BigHat's antibody discovery and display functions, setting the scientific, technical, and strategic direction
• Oversee the routine execution of display-based selection campaigns to enhance and diversify affinity, developability, and function across diverse antibody formats and antigen types in support of BigHat and BigHat-partnered therapeutic programs
• Manage and mentor a team of scientists responsible for antibody library design, generation, screening, selection, and early optimization
• Shape and expand BigHat's antibody discovery technologies and capabilities, including new display and selection methods, library design strategies, and technical approaches that leverage and enhance the company's integrated experimental and computational platform
• Provide scientific leadership across discovery and early optimization efforts, ensuring antibodies emerging from selections possess strong functional and developability characteristics
• Work closely with leaders in Protein Sciences, Data Science/Machine Learning, Engineering, and Platform groups to ensure seamless progression from discovery through characterization and optimization
• Collaborate with biology and therapeutic research leads to ensure display outputs align with and advance program objectives
• Foster a collaborative and high-performance culture within the discovery organization

Benefits: The salary estimated for this position is $230,000 - $270,000 + bonus + options + benefits. Compensation will vary depending on job-related knowledge, skills, and experience. Actual compensation will be confirmed in writing at the time of the offer.

We offer a range of health insurance plan options through Anthem and Kaiser, dental and vision coverage through Guardian, additional well-being benefits through Nayya, OneMedical, Wagmo, Rula, and more, 401(k) with company match, DTO, two weeks of company-wide shutdown, and 12 company holidays, paid parental leave.

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Key Responsibilities:

Perform automated and manual high-throughput processing on the BigHat platform, including DNA preparation, protein expression, and protein characterization. Contribute to the scaling up of BigHat's platform and production-grade data generation. Support BigHat's Platform Reagents & Assay Support (PRAS) function by contributing to in-house reagent manufacturing efforts. Execute experiments to optimize the performance efficiency of BigHat's platform. Keep a detailed record of all experiments using BigHat's documentation tools, and clearly communicate results and challenges. Collaborate on the creation of laboratory standard operating procedures (SOPs) for sample processing. Collaborate closely with BigHat team members to identify, design, and implement critical process and operational improvements to production workflows and laboratory systems. Operate automated liquid handlers and analytical instruments to ensure all lab and platform operations run efficiently.

Skills, Knowledge & Expertise:

BS in Biology or Chemistry, with 1+ year(s) of industry experience Experience in process execution, laboratory method development, optimization, and troubleshooting. Hands-on experience with, or interest in, automated liquid handlers (e.g. Hamilton, OpenTrons, Tecan, Agilent systems). Experience with molecular biology techniques and general lab practices. Efficient time management and ability to work on several projects simultaneously, in a dynamic start-up environment. Strong interpersonal skills and ability to effectively communicate with members of a multidisciplinary team. Excellent record keeping abilities to document experimental work and analytical data. Nice-to-haves include previous experience working with barcoding systems, inventory tracking, and experience with Google Workspace tools (Docs, Sheets, Slides, etc.).

Benefits: The salary estimated for this position is $75,000 - $105,000 + bonus + options + benefits. Compensation will vary depending on job-related knowledge, skills, and experience. Actual compensation will be confirmed in writing at the time of the offer. Range of health insurance plan options through Anthem and Kaiser (monthly credit if benefit waived) Dental, and vision coverage through Guardian Additional well-being benefits through Nayya, OneMedical, Wagmo, Rula, and more 401(k) with company match DTO, two weeks of company-wide shutdown, and 12 company holidays Paid parental leave

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Job Summary

As an Applications Engineer on our QuantumATK team, you will provide high-quality scientific and technical support to customers using QuantumATK, a leading software platform for atomic-scale materials modeling and simulation. You will partner with internal stakeholders and customers in high-tech industries to understand use cases, troubleshoot issues, and drive successful outcomes.

Responsibilities

• Provide high-quality scientific and technical support to customers using QuantumATK
• Partner with internal stakeholders and customers in high-tech industries (semiconductors, automotive, energy, etc.) to understand use cases, troubleshoot issues, and drive successful outcomes
• Develop and maintain application examples, workflows, and best-practice guides
• Collaborate with R&D and product teams by bringing customer needs and feedback into roadmap and feature discussions
• Contribute to enablement activities such as webinars and training

Requirements

• Solid foundation in solid-state physics and/or chemistry: A degree in physics, chemistry, materials science, or a related field
• Strong background in atomic-scale materials modeling and simulation
• Practical Python skills for scripting, analysis, and workflow automation
• Proficiency communicating complex technical topics in English (written and verbal)

Nice to Have

• Experience working directly with industrial customers in a technical role (support, field, pre-sales, or similar)
• Track record of building reusable examples, tutorials, or scientific software workflows

How You Work

• You take ownership, follow through, and ask for help early when blocked
• You're comfortable switching between deep technical work and customer-facing communication
• You bring a constructive, curious mindset in ambiguous problem spaces

What Synopsys Offers

• A key role in cutting-edge technology development with a competent, motivated team
• A dynamic environment with opportunities to grow across customer engagement, technical depth, and product impact
• Competitive compensation and benefits (per local practices)

The Team You'll Be A Part Of

You will join a dynamic Application Engineering team focused on enabling customer success and advancing Synopsys' technology leadership in Japan. The team is composed of talented professionals who collaborate closely with sales, product, and development groups to deliver innovative solutions and outstanding service. Together, you'll drive impactful projects and support the growth of Synopsys' presence in the region.

Rewards and Benefits

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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As a Chemist in the Responsible Development & Innovation (ReDI) team at Google DeepMind, you will be a principal architect of the safety protocols governing the intersection of Large Language Models (LLMs) and the chemical sciences. You will design and execute rigorous safety evaluations and inform mitigation strategies that ensure our frontier models accelerate scientific discovery without compromising global security.

This role is pivotal in deciding when and how our most advanced AI systems are released to the world.

You will apply your knowledge of chemistry to devise evaluation methodologies (e.g. red-teaming, knowledge elicitation studies, etc.) and contribute to building and running these evaluations on new models. You will analyse the results from evaluations, communicate them clearly to advise and inform decision-makers on the safety of our AI systems, and use them to refine our harm frameworks and inform our mitigation strategies.

In this role, you will work closely with other Subject-Matter Experts (SMEs) in the chemical, biological, radiological and nuclear domains, Research Engineers and Research Scientists focused on developing AI systems, as well as experts in AI ethics and policy.

Key Responsibilities:

• Architect of Safety Evaluations: Build rigorous, scalable frameworks to evaluate model proficiency in overcoming key bottlenecks in CWA precursor acquisition, chemical synthesis, and weaponisation.
• Strategic Advisory: Analyse evaluation results to brief executive decision-makers on model safety, directly influencing deployment 'Go/No-Go' decisions.
• Harm Framework Innovation: Refine our internal safety taxonomies to account for emergent risks at the intersection of general AI and specialist models like AlphaFold.
• Collaborative Mitigation: Partner with Research Engineers to revise mitigation strategies and refine harm frameworks for identified chemical risks. Work with other SMEs in the chemical, biological, radiological, nuclear, and conventional explosive domains to build a unified defence against CBRNE-related risks.
• External Engagement: Stay abreast of global chemical security trends and international non-proliferation policy through engagement with external international, governmental, and non-governmental organisations.

About You:

You are a seasoned scientist who bridges the gap between laboratory chemistry and emerging technology. You are motivated by the challenge of defending complex systems and possess the critical mindset required to anticipate non-obvious misuse scenarios.

Minimum Qualifications:

• Chemistry Expertise: PhD in synthetic organic chemistry with at least two years post-doctoral or equivalent experience.
• Publication Record: Proven experience publishing as a first author in high-impact general science or chemistry-specific journals, and presenting work at international chemistry conferences. Classified or internal reporting experience will be considered in lieu of public records for candidates from roles in national security.
• Security Domain Expertise: Comprehensive understanding of the Chemical Weapons Convention (CWC) and other national and international CWA agreements/treaties, chemical defence protocols, and the landscape of dual-use research in the chemical domain.
• Systems Thinking: The ability to translate high-level chemical risks into technical requirements for AI safety.
• Communication Excellence: A proven ability in distilling complex technical findings into clear, actionable advice for non-specialist stakeholders.

Preferred Experience:

• Knowledge of CWA defence, including synthesis, detection, and countermeasures.
• Direct experience with CBRNE mitigation, non-proliferation, or relevant international security stakeholders.
• Familiarity with the machine learning lifecycle and AI Safety Frameworks.
• Experience using and/or developing computational chemistry tools (e.g., AlphaFold, retrosynthesis engines, etc.).
• Working knowledge of the Frontier Safety Framework (FSF), Critical Capability Levels (CCLs), and similar documents published by other leading AI labs.
• Understanding of Google DeepMind AI research output (e.g., AlphaFold, GNoME, WeatherNext, etc.), and AI products (e.g., Gemini, Nano Banana, Genie, etc.).
• Passion for the ethical deployment of frontier technologies and AI policy.

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Reporting to the Regional General Manager, you’ll take full ownership of day-to-day operations at our West Midlands site.

With safety, health and environmental standards front and centre, you’ll drive operational efficiency, boost financial performance, and deliver outstanding service to both internal and external customers. You’ll lead from the front — developing your team, championing innovation, and unlocking the site’s full potential all measured through clear, outcome-focused KPIs.

Success in this role means strong collaboration with the Regional General Manager and the Project and Maintenance Manager, while fostering a proactive, high-performance culture across the site.

Health, Safety & Environment

• Lead site health, safety and environmental performance, reducing incidents and embedding a strong safety-first culture.
• Enforce site rules and procedures, conducting investigations and disciplinaries where required.
• Ensure full compliance with permits, licences and legal obligations — achieving zero EA CAR scores, no discharge breaches, no reportable emissions, and no long-term waste stock.

Operational Performance

• Plan and coordinate treatments to maximise efficiency and capacity.
• Quote customers, review bookings and eliminate non-value-adding activities to consistently meet service KPIs.
• Drive continuous improvement across processes, systems and site standards.

Financial Management

• Control site budgets across treatment, disposal, labour and maintenance.
• Deliver strong monthly P&L performance and meet or exceed agreed financial targets.
• Identify cost-saving opportunities without compromising safety or service quality.

People & Leadership

• Oversee staffing levels, schedules and performance management.
• Set clear objectives and hold teams accountable for results.
• Work closely with the Site Manager and wider teams to ensure effective resourcing and collaboration.
• Develop your people through structured training, coaching and hands-on leadership.

Requirements

Our essential requirements.

• IOSH Managing Safely (or equivalent) is essential; COTC Level 4 in hazardous waste treatment and transfer is highly desirable.
• Experience managing operational teams in a fast-paced, regulated environment; hazardous waste or treatment/transfer station experience is desirable.
• Degree in Chemistry, Engineering, or a related science is preferred but not essential.
• Good working knowledge of site permitting, risk assessments, and ISO standards (9001, 14001, 45001), with confidence in leading investigations and disciplinaries.
• Proficient in MS Office, with strong organisational skills and the ability to manage a mixed-skills team effectively.

Benefits

And here’s why you’ll love it at Biffa.

• Ongoing career development, training and coaching – Because if you don’t grow, we don’t grow.
• Generous pension scheme.
• Retail and leisure discounts.
• Holiday and travel discounts.
• Life cover.

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Your core responsibilities will include:

• Planning and prioritising daily operations to ensure safe, efficient, and compliant performance
• Leading by example to strengthen health, safety, and environmental culture
• Ensuring secure waste management, from entry to disposal, minimising costs while meeting company and customer requirements
• Maintaining compliance, ensuring inputs and outputs meet regulatory standards while driving cost control and efficiency
• Analysing sales samples, advising on treatment options, and providing customer quotations
• Managing stock and inventory of waste and consumables within budgeted costs
• Upholding high housekeeping standards and enforcing company policies and procedures
• Working closely with Transport to manage inputs/outputs, ensuring compliance and customer SLA fulfilment

Requirements:

• Experience as a Chemist in a Hazardous Waste Management business or chemical/manufacturing industry
• Minimum of a HNC Chemistry Qualification
• Hazardous Treatment & Transfer CoTC is desirable but not essential
• Knowledge and understanding of the requirements of working within a time-critical hazardous waste processing environment would be ideal
• Comprehensive understanding of chemical process safety
• Analytical with the ability to measure and monitor data and take appropriate action
• Organised with the ability to simplify complex issues
• Willingness to travel within the UK for business meetings and project work at other locations

Benefits:

• Competitive salary up to £31,600 per annum
• Opportunities for career development and growth
• Collaborative and supportive work environment
• Comprehensive training and development programs
• Recognition and reward for outstanding performance
• Access to a range of employee benefits, including pension scheme, life insurance, and health insurance

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Job Description

We are looking for a Product Developer for Lubricants to join our team in Mannheim, Germany. As a Product Developer, you will be responsible for the development and optimization of lubricant formulations, as well as the analysis and evaluation of additives in accordance with regulatory requirements.

Responsibilities

• Optimize existing formulations for lubricants and pastes
• Analyze and evaluate additives under consideration of regulatory requirements
• Plan, conduct, and document laboratory tests on lubricants
• Support international product transfers
• Take over own projects after training - including timely and resource-efficient implementation
• Present the results of the work in the context of these projects
• Clarify technical questions and solve arising challenges in product support
• Ensure high quality standards and continuous development in your area of responsibility
• Provide technical support for product management, application technology, sales, purchasing, production, and quality assurance
• Collaborate with international project teams to successfully implement common tasks

Requirements

• Completed education as a chemical technician or a bachelor's degree in chemistry, chemical engineering, or a comparable field
• Strong interest in the development and production of lubricants and continuous product optimization; initial professional experience is an advantage
• Very good German and English language skills in writing and speaking
• High team and communication skills, particularly in collaboration with departments such as product management, application technology, sales, purchasing, production, and quality assurance
• Independent, structured, and solution-oriented way of working
• Flexibility and ability to act in a dynamic working environment
• Safe handling of MS Office

Benefits

• Compatibility of private and professional life (e.g., flexible working hours, flexible working hours, 30 days of vacation, leave options)
• A secure future perspective in a dynamic, globally operating company
• Performance-based remuneration and good social benefits of the chemical industry, such as holiday and Christmas pay
• Individual training opportunities and further education
• Occupational pension scheme, disability insurance, and long-term account
• Occupational health management (e.g., cooperation with fitness studios, action days, company sports, social counseling)

FUCHS promotes equal opportunities. Applications from severely disabled people will be given special consideration in the event of equal suitability.

If you have any questions, Alexandra Freund will be happy to answer them under Alexandra.Freund.EXT@fuchs.com

Join our team and let's move the world together! [jobs.fuchs.com](https://jobs.fuchs.com/)

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At Valvoline Global Operations, we're proud to be a pioneer in the automotive and industrial solutions industry. Founded in 1866, we introduced the world's first branded motor oil and have since become a global leader in our field.

Job Summary

The Manufacturing Lab Supervisor will support the day-to-day blending operation by maintaining the schedule, supervising the blending team, performing quality tests, and managing the ISO 9001 program.

Responsibilities

• Perform quality testing on inbound and outbound products and blends.
• Supervise blending personnel and lead project management for blending/bulk distribution.
• Quality Management Systems coordinator including ISO 9001 program.
• Maintain production schedule and purchase raw materials (bulk production and lab).
• Troubleshoot and repair equipment as well as maintain equipment maintenance intervals.
• Act as bulk inventory control coordinator.
• Other duties and responsibilities as determined by Valvoline from time to time in its sole discretion.

Requirements

• Minimum B.S. in Chemistry, Biology or Engineering but will consider Business.
• 2 years in a fast-paced manufacturing environment is preferred.
• Previous experience production scheduling and lean six sigma, a plus.
• Strong communication/presentation skills.
• Computer Skills - specifically Excel, Power Point, SAP and quality management software.
• Ability to periodically lift up to 50lbs during shift.

Benefits

• Health insurance plans (medical, dental, vision)
• Health Savings Account (with employer base deposit and match)
• Flexible spending accounts
• Competitive 401(k) with generous employer base deposit and match
• Incentive opportunity
• Life insurance
• Short and long-term disability insurance
• Paid vacation and holidays
• Employee Assistance Program
• Employee discounts
• PTO Buy/Sell Options
• Tuition reimbursement
• Adoption assistance

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Fuchs Lubricants Co. is seeking a Technical Service Laboratory Manager to oversee the day-to-day operations of the technical service laboratory. The successful candidate will ensure smooth and efficient functioning of all activities and in the operation and use of metalworking fluids and lubricants for the industrial segment of Fuchs Lubricants Co.

Responsibilities

• Lead, inspire and mentor a team of technical service professionals (scientists, chemists, and technicians), providing guidance, training, and performance feedback to foster a high-performance and motivated team culture.
• Promote and foster a culture of continuous learning, professional growth, and knowledge sharing among the Technical Service laboratories.
• Develop and implement laboratory procedures, protocols, and best practices to ensure accurate and consistent testing methodologies and adherence to regulatory standards.
• Lead the generation of technical reports, data analysis, and documentation to communicate findings, recommendations, and solutions to internal and external stakeholders.
• Drive continuous improvement initiatives and through KPI development and identify opportunities to optimize and enhance lab operations and testing methodologies.
• Support companywide continuous improvement/process improvement programs and compliance with quality standards such as ISO 9001:2015 and/or IATF 16949.
• Manage budgets, allocate resources, contribute to the business planning process, and participate in special projects to support the continued success of the business.

Requirements

• Bachelor’s degree in chemistry, chemical engineering, or a related field. Master’s degree in a relevant discipline is desired.
• Proven experience (5+ years) in a technical service or laboratory management role; industrial/automotive fluids, lubricants or specialty chemicals industry experience desired.
• Prior experience leading and mentoring a team.
• Experience in managing laboratory operations, including equipment maintenance, inventory management, and compliance with safety and regulatory guidelines.
• Excellent leadership and team management skills, with the ability to motivate and develop a high-performing team.
• Strong analytical and problem-solving abilities, with a keen attention to detail.
• Exceptional communication skills to effectively collaborate with cross-functional teams and provide technical support to customers.
• Knowledge of ISO & IATF quality standards is strongly preferred
• Proficiency in laboratory software, data analysis tools, and Microsoft Office Suite.

Benefits

Fuchs offers a challenging and rewarding working environment where employees are encouraged to develop and grow as professionals. In this role, you will have the opportunity to work on projects that will expand your experience and challenge your abilities in the global marketplace. The position also offers an excellent compensation package and a comprehensive suite of benefits.

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Responsibilities

• Runs laboratory equipment as trained and prepares product blends under supervision.
• Documents laboratory data in notebooks and spreadsheets and performs calculations as directed and in teams.
• Performs a variety of specific tasks under close supervision which involve a series of detailed steps, collects and evaluates data, reviews, interprets, and analyzes data for technical, quality, and compliance to protocols, methods, SOPs, client criteria, and Good Laboratory Practices (GLP).
• Provides straightforward solutions to problems using readily available clear and direct references.
• Assists Scientists/Researchers on projects and runs product demonstrations to customers under direction.
• Writes reports summarizing data and suggests improvements to work processes and test procedures, proactively communicates with formulators, peers, and managers.
• Maintains instruments through routine calibration, troubleshooting, and preventive maintenance.
• Participates in continuous improvement initiatives for efficiency, accuracy, and method development.
• Supports daily housekeeping, chemical inventory management, and waste disposal in compliance with safety regulations.
• Demonstrates a strong commitment to laboratory safety, including proper use of PPE, safe chemical handling, and adherence to OSHA/EPA regulations.
• Participates in safety training, hazard communication, and emergency preparedness drills.
• Identifies potential hazards, reports unsafe conditions, and actively contributes to a culture of safety.
• Ensures compliance with environmental, health, and safety (EHS) policies, maintaining a clean and hazard-free work environment.
• Additional duties as assigned.

Requirements

• Minimum B.S. in Chemistry, Chemical Engineering, or related scientific field required.
• Experience in lab operations and EHS program management, preferably in a manufacturing or industrial laboratory environment.
• Excellent oral and written communication skills required.
• Multi-tasker and problem-solver.
• Attention to detail and desire to complete quality work products.
• Ability to work well with others and comprehend instruction quickly.
• Strong attention to detail with excellent organizational and documentation skills.
• Ability to work independently and as part of a collaborative team.
• Effective problem-solving and critical thinking skills.
• Strong commitment to safety, quality, and laboratory best practices.
• Proficiency in Microsoft Office Suite; experience with Laboratory Information Management Systems (LIMS) a plus.
• Analytical laboratory environment requiring lifting, standing for extended periods, and repetitive tasks
• Less than 20% travel required.

Benefits

• Health insurance plans (medical, dental, vision)
• Health Savings Account (with employer base deposit and match)
• Flexible spending accounts
• Competitive 401(k) with generous employer base deposit and match
• Incentive opportunity
• Life insurance
• Short and long-term disability insurance
• Paid vacation and holidays
• Employee Assistance Program
• Employee discounts
• PTO Buy/Sell Options
• Tuition reimbursement
• Adoption assistance

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Role

We are looking for biological scientists to help build safety and oversight mechanisms for our AI systems. As a Safeguards Biological Safety Research Scientist, you will apply your technical skills to design and develop our safety systems which detect harmful behaviours and to prevent misuse by sophisticated threat actors. You will be at the forefront of defining what responsible AI safety looks like in the biological domain, working across research, policy, and engineering to translate complex biosecurity concepts into concrete technical safeguards. This is a unique opportunity to shape how frontier AI models handle dual-use biological knowledge—balancing the tremendous potential of AI to accelerate legitimate life sciences research while preventing misuse by sophisticated threat actors.

In this role, you will:

• Design and execute capability evaluations ('evals') to assess the capabilities of new models
• Collaborate closely with internal and external threat modeling experts to develop training data for our safety systems, and with ML engineers to train these safety systems, optimising for both robustness against adversarial attacks and low false-positive rates for legitimate researchers
• Analyse safety system performance in traffic, identifying gaps and proposing improvements
• Develop rigorous stress-testing of our safeguards against evolving threats and product surfaces
• Partner with Research, Product, and Policy teams to ensure biological safety is embedded throughout the model development lifecycle
• Contribute to external communications, including model cards, blog posts, and policy documents related to biological safety
• Monitor emerging technologies for their potential to contribute to new risks and new mitigation strategies, and strategically address these

You may be a good fit if you have

• A PhD in molecular biology, virology, microbiology, biochemistry, systems or computational biology, or a related life sciences field, OR equivalent professional experience
• Extensive experience in scientific computing and data analysis, with proficiency in programming (Python preferred)
• Deep expertise in modern biology, including both 'reading' (e.g. high-throughput measurement, functional assays) and 'writing' (gene synthesis, genome editing, strain construction, protein engineering) techniques in biology
• Familiarity with dual-use research concerns, select agent regulations, and biosecurity frameworks (e.g., Biological Weapons Convention, Australia Group guidelines)
• Strong analytical and writing skills, with the ability to navigate ambiguity and explain complex technical concepts to non-technical stakeholders
• Have a passion for learning new skills and an ability to rapidly adapt to changing techniques and technologies
• Comfort working in a fast-paced environment where priorities may shift as AI capabilities evolve

Preferred Qualifications

• Background in AI/ML systems, particularly experience with large language models
• Experience in developing ML for biological systems
• Extensive experience in complex projects with multiple stakeholders

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing

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We are looking for a Technical CBRN-E Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic's AI systems for Chemical, Biological, Radiological, Nuclear, and Explosives (CBRN-E) threats.

Responsibilities

• Detect and investigate attempts to misuse Anthropic's AI systems for developing, enhancing, or disseminating CBRN-E weapons, pathogens, toxins, or other threats to harm people, critical infrastructure, or the environment

• Conduct technical investigations using SQL, Python, and other tools to analyze large datasets, trace user behavior patterns, and uncover sophisticated CBRN-E threat actors

• Develop CBRN-E-specific detection capabilities, including abuse signals, tracking strategies, and detection methodologies tailored to dual-use research concerns

• Create actionable intelligence reports on CBRN-E attack vectors, vulnerabilities, and threat actor TTPs leveraging AI systems

• Conduct cross-platform threat analysis grounded in real threat actor behavior, open-source research, and publicly reported programs

• Collaborate with policy and enforcement teams to make informed decisions about user violations and ensure appropriate mitigation actions

• Engage with external stakeholders including government agencies, regulatory bodies, scientific organizations, and biosecurity/chemical security research communities

• Inform safety-by-design strategies by forecasting how threat actors may leverage advances in AI technology for CBRN-E purposes

You may be a good fit if you

• Have deep domain expertise in biosecurity, chemical defense, biological weapons non-proliferation, dual-use research of concern (DURC), synthetic biology, or related CBRN-E threat domains

• Have demonstrated proficiency in SQL and Python for data analysis and threat detection

• Have experience with threat actor profiling and utilizing threat intelligence frameworks

• Have hands-on experience with large language models and understanding of how AI technology could be misused for CBRN-E threats

• Have excellent stakeholder management skills and ability to work with diverse teams including researchers, policy experts, legal teams, and external partners

Strong candidates may also have

• Advanced degree (MS or PhD) in biological sciences, chemistry, biodefense, biosecurity, or related field

• Real-world experience countering weapons of mass destruction or other high-risk asymmetric threats

• Experience working with government agencies or in regulated environments dealing with sensitive CBRN-E information

• Background in AI safety, machine learning security, or technology abuse investigation

• Familiarity with synthetic biology, biotechnology, or dual-use research

• Experience building and scaling threat detection systems or abuse monitoring programs

• Active Top Secret security clearance

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

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This role offers a unique opportunity to shape how AI systems handle sensitive chemical and explosives information. You'll work with leading AI safety researchers while tackling critical problems in preventing catastrophic misuse. If you're excited about using your expertise to ensure AI systems remain safe and beneficial, we want to hear from you.

Responsibilities:

• Design and implement evaluation methodologies for assessing AI model capabilities relevant to chemical weapons, explosives synthesis, and energetic materials
• Develop and execute strategies to identify and mitigate potential C/E misuse in model outputs
• Create C/E threat models, including precursor identification, synthesis routes, and weaponization techniques
• Review and analyze traffic to identify potential policy violations related to C/E content
• Collaborate with software engineers to develop and refine detection systems and automated enforcement tools for C/E threats
• Conduct rapid response to escalations involving dangerous C/E queries
• Collaborate across teams to establish safety benchmarks and develop appropriate model guardrails
• Translate C/E domain knowledge into actionable safety requirements
• Develop approaches to assess C/E model knowledge boundaries for dual-use chemical information
• Monitor emerging threats in the C/E landscape to inform policy development

You may be a good fit if you:

• Have a Ph.D. in Chemistry, Chemical Engineering, or a related field with focus on energetic materials, explosives, and/or chemical weapons
• Have 5-8+ years of experience in chemical weapons and/or explosives defense, with deep expertise in energetic materials, chemical weapon agents, or related areas
• Have knowledge of high yield explosives application to radiological dispersal devices (dirty bombs) and related radiological weapons
• Have a track record of translating specialized technical knowledge into actionable safety policies or guidelines
• Are comfortable navigating ambiguity and developing solutions for novel safety challenges
• Can work independently while maintaining strong collaboration with cross-functional teams including engineering, enforcement, and research
• Thrive in a fast-paced environment where you balance rigorous scientific standards with rapid threat response
• Are passionate about preventing misuse of dangerous technical knowledge while enabling beneficial applications

Strong candidates may have:

• Experience with both chemical weapons and high yield explosives defense
• Experience working with defense, intelligence, or nonproliferation organizations (e.g., OPCW, IAEA, national labs, defense contractors)
• Published research or practical experience in explosives characterization, chemical weapons detection, or related security applications
• Knowledge of international chemical weapons conventions (CWC) and controlled substances regulations
• Demonstrated ability to communicate complex technical concepts to non-specialist audiences
• Experience with chemical databases (PubChem, Reaxys, SciFinder) and computational chemistry tools
• Understanding of radiological materials and their interaction with explosive dispersal mechanisms
• Familiarity with dual-use C/E research concerns and responsible disclosure practices

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

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San Francisco

Employment Type

Full time

Department

Safety Systems

Compensation

• Estimated Base Salary $207K – $295K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Safety Systems team is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency.

The Model Policy team aligns model behavior with desired human values and norms. We co-design policy _with_ models and _for_ models by driving rapid policy taxonomy iteration based on data and defining evaluation criteria for foundational models’ ability to reason about safety. Key focus areas include: catastrophic risk, mental health, teen safety and multimodal safety.

About the Role

Providing access to frontier AI systems raises complex questions around dual-use science and catastrophic risk. How should models respond to requests involving chemical synthesis, biological experimentation, or pathogen research? Where is the boundary between legitimate scientific inquiry and information that could enable misuse? How do we design policies that meaningfully reduce risk without unnecessarily restricting beneficial research?

This is a senior role in which you’ll help shape policy creation and development at OpenAI for addressing biological and chemical risks. You will develop structured policy frameworks and taxonomies to guide safe model behavior. This role sits at the intersection of biosecurity expertise, AI safety research, and policy design. You will help ensure that frontier AI systems can support beneficial life sciences research, such as drug discovery, public health, and biosafety, while reducing the risk that these capabilities could be misused.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you’ll:

• Design and maintain model policies governing chemical and biological risk, defining how models should safely handle dual-use scenarios.
• Develop structured taxonomies of chemical and biological risk that inform model training data, evaluation benchmarks, and safety monitoring systems.
• Translate biosecurity and chemical security expertise into actionable model behavior, working closely with research and engineering teams to operationalize policy in training and evaluation pipelines.
• Develop a broad range of subject matter expertise while maintaining agility across topics.
• Identify emerging risk vectors where frontier AI capabilities could meaningfully lower barriers to harmful activity and develop mitigation strategies.
• Engage with internal and external subject-matter experts in biosecurity, biodefense, and chemical safety to ensure policies reflect real-world risk landscapes.

You might thrive in this role if you:

• Have strong domain expertise in chemistry, biology, biosecurity, or related fields and are motivated to translate that expertise into principled, operational policies that scale to frontier AI systems.
• Have experience researching or working with LLMs, machine learning, AI governance, technology policy, or related areas, and enjoy tackling structured reasoning and classification problems—such as defining boundaries between legitimate scientific inquiry and potentially harmful applications.
• Have experience designing, refining, or enforcing policies or safeguards for complex systems, whether in AI/ML environments, scientific research governance, national security contexts, or other high-stakes technical domains.
• Are comfortable navigating ambiguous, high-stakes problem spaces, balancing risk reduction with the benefits of scientific openness and innovation.
• Enjoy building new frameworks from first principles, reasoning about open-ended problems, and generating novel approaches under uncertainty. You take ownership of problems end-to-end—from defining the conceptual framework through collaborating with research and engineering teams

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What you'll do

As a Software Developer, you will be responsible for developing, implementing, and maintaining combustion and reactive-flow models within a finite volume CFD solver environment. You will also enhance numerical algorithms to improve stability, accuracy, and computational performance, including adaptation for parallel and high performance computing environments.

What you need

• PhD in Mechanical Engineering, Chemical Engineering, Physics, Computational Engineering, or a related technical discipline
• Strong theoretical understanding of combustion, fluid mechanics, thermodynamics, and heat transfer
• Experience with finite volume CFD methods and numerical discretization techniques
• Proficiency in C++ or Fortran for scientific or engineering software development; additional experience with Python is advantageous

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What you'll do

• Investigate the electrical and electrochemical-thermal behavior of Li-ion battery cells
• Develop and apply battery cell models (electrical equivalent circuit models and electrochemical-thermal models)
• Parameterize, analyze, and validate simulation results

What you need

• A degree in Electrical Engineering, Mechatronics, Chemistry, or a related field
• Strong knowledge of electrical circuits, electrochemistry, and thermodynamics
• Experience with programming languages such as C/C++, Python, or Matlab
• Familiarity with CAE tools such as COMSOL Multiphysics

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What you'll do

The Senior, Staff Scientist will be responsible for the following tasks:

• Manage the Americas Grease & Industrial Fluids team, set priorities, allocate resources, and deliver on the regional NSD programs and Innovation Master Plan.

• Lead the formulation development and commercialization of high-performance greases and industrial fluids for OEM, Aramco Affiliate, and retail channels.

What you need

The ideal candidate will have the following skills:

• Minimum Ph.D. or Doctorate Level research in chemistry, engineering or a related field.

• 3+ years of experience in grease and industrial fluid formulations supporting manufacturing in professional laboratory environments.

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What you'll do

As a member of our team, you will be responsible for participating in the digitalization of our laboratory and improving our data management tools.

• Migration with the LIMS group: cleaning the current LIMS database, preparing data for migration to a new system, and implementing group directives in France.
• Digitalization of laboratory metrology management: setting up a GMAO and digitalizing stock management.
• Improving follow-up tables: creating or improving dashboards for activity tracking and automating KPIs such as productivity, deadlines, and analytical load.

What you need

• Formation: Bac+2/3 in chemistry
• Compétence en Data management exigée

Why this matters

Joining our team will give you the opportunity to work on exciting projects and contribute to the digital transformation of our laboratory. You will be part of a dynamic and innovative team that is passionate about making a difference.

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What you'll do

• Develop and execute the global product compliance strategy in alignment with business, technology, and sustainability goals
• Ensure globally harmonized compliance practices while adapting to regional regulatory requirements and customer expectations

What you need

• Advanced degree in Chemistry, Chemical Engineering, Environmental Science, or a related technical field
• Strong expertise and experience in (global) regulatory and product compliance and its implementation in the chemical, lubricants, or life sciences industry

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What you'll do

• Develop and execute the global product compliance strategy in alignment with business, technology, and sustainability goals
• Ensure globally harmonized compliance practices while adapting to regional regulatory requirements and customer expectations

What you need

• Advanced degree in Chemistry, Chemical Engineering, Environmental Science, or a related technical field
• Strong expertise and experience in (global) regulatory and product compliance and its implementation in the chemical, lubricants, or life sciences industry

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What you'll do

• Maintain the formulas of the assigned product categories, providing technical support, locating formulas, optimizing raw materials, and updating technical information according to the FUCHS Group.
• Support other operational units, such as production, quality, purchasing, logistics, administration, and product safety.
• Develop new laboratory tests.

What you need

• A degree in Chemistry, Chemical Engineering, or Technical Chemical Engineering with experience.
• A broad understanding of chemical processes, risks, and safety protocols, as well as knowledge of applicable legal regulations in the chemical sector and related fields.
• Practical experience in sustainability practices in the chemical industry, waste reduction, pollution prevention, and energy conservation.
• Proficiency in Microsoft Office 365 for analysis.
• A broad knowledge of product classification and labeling (CLP, REACH).
• Training in Core Tools/MSA.
• Fluent Spanish and English (B2 level).

Why this matters

As a R&D Chemist at FUCHS, you will be part of a team that develops innovative solutions to keep the world in motion. You will have the opportunity to work on challenging projects, collaborate with experts from different fields, and contribute to the development of new products that make a difference in people's lives.

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FUCHS LUBRICANTS GERMANY GmbH is looking for a talented Ausbildung zum/zur Chemielaborant/in (m/w/d) at their Wedel office. This role sits at the heart of research and development, turning chemical knowledge into actionable insights for a company that's revolutionising the lubricant industry. You'll work directly with leadership to shape the company's direction in the global market.

About the Role

As a Chemielaborant/in, you will be responsible for conducting research and development in the field of chemistry. This will include planning and conducting experiments, analyzing data, and developing new products and processes. You will also be responsible for ensuring the quality of our products and processes, and for maintaining a safe and healthy work environment.

Accountabilities

• Conduct research and development in the field of chemistry, including planning and conducting experiments, analyzing data, and developing new products and processes.
• Ensure the quality of our products and processes, and for maintaining a safe and healthy work environment.

The Candidate we're looking for

Experience:

• Abitur or good Fachhochschulreife

Technical skills:

• Proficiency in chemistry, physics, and mathematics

Personal attributes:

• Abstraktes Denkvermögen, Engagement und Einsatzbereitschaft

Benefits

• 30 Tage Urlaub pro Jahr und gleitende Arbeitszeit
• Duale Ausbildung mit verschiedenen Kooperationspartnern (u.a. Berufsschulen und externe Unternehmen)
• Vergütung nach dem Tarifvertrag der chemischen Industrie sowie Urlaubs- und Weihnachtsgel

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