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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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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Your mission will be to embody our vision of an antedisciplinary environment and embrace learning about areas outside of your traditional area of expertise. You will identify and source new business opportunities with biotech and pharma through market research, networking, and by building business relationships to expand Inceptive’s network.

Key responsibilities include leading outbound BD efforts, including prospecting, relationship building, and pipeline management, as well as supporting deal execution (term sheets, negotiations, diligence, closing) and collaborating with scientific and technical teams to translate platform capabilities into partner value.

To succeed in this role, you will need a Master's in science (PhD preferred), ideally with a background in biologics, genetic medicines, or deep learning methods applied to drug development, and 3 years of experience in business development in pharma, biotech or VC.

The salary range for this position is $135K – $240K + Bonus + Equity.

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The ideal candidate is both technically sound and can be a proactive internal consultant, beyond their analytical prowess through their understanding of secondary data, industry knowledge, and track record of innovative and impactful decision support. You will be a strategic architect of our financial future, moving beyond static reporting to provide the actionable insights that drive our commercial scale.

The role reports to the Chief Financial Officer (CFO) and is a critical and high visibility position interacting heavily with the business.

As a FP&A Manager, you will serve as the dedicated financial advisor to department heads (R&D, Commercial, Operations), translating complex financial data into a narrative that drives decision-making. You will identify financial opportunities by deeply understanding the drivers of our diagnostic platform and product offerings.

Key responsibilities include:

• Proactive Budget Management: Drive corporate planning processes through rigorous oversight of departmental budgets and forecasts, ensuring alignment with Freenome’s strategic priorities. Empower budget owners with self-service tools while providing the “guardrails” necessary for a public company environment.

• Actionable Analysis and Reporting: Deliver effective monthly and quarterly reporting that drives accountability, scaled by leveraging technology. Establish, track, and report Key Performance Indicators (KPIs) specific to a commercial-stage diagnostic company, such as test volume, ASP, and COGS per test.

• Systems Innovation and AI Integration: Build and refine the forecasting tools, short-term and long-term forecasts models. Support the implementation, buildout and continuous improvement of key financial systems, such as ERP, planning and budgeting systems and business Intelligence tools.

• Must haves:

• Bachelor’s degree in Accounting/Finance/Business.

• Minimum of 8 years of progressive Accounting and Finance experience with at least 6 in FP&A and/or business partnering in a fast-paced, high-growth biotech, diagnostic, medical device environment.

• Willingness to roll up your sleeves, handle large amounts of data and build complex financial models.

• Excellent organisational and analytical skills with the ability to creatively solve problems with a data-driven approach.

• Ability to articulate complex financial concepts in understandable terms to non-finance professionals.

• Demonstrated ability to think strategically while maintaining a command of the details.

• Demonstrated ability to develop client group business acumen and provide actionable insights and recommendations to improve KPIs.

• Mastery of Excel and ERP systems (e.g. Netsuite) and proven experience implementing or optimising FP&A software and a demonstrated interest in AI-driven analytics.

• Passion for automation and continuous improvement to reduce human error and dependency on spreadsheets.

• Proven experience building financial management processes, management reporting, and establishing the financial discipline required in a scaling organisation.

• Well-versed in the requirements of a public company and adherence to all applicable laws, rules, and regulations.

• Nice to haves:

• MBA/CPA or CFA a plus.

• Experience as a FP&A professional for single-site labs (FDA/CLIA diagnostics business) and/or reagent manufacturing environments.

• Knowledge of clinical diagnostics development, operations, portfolio management and commercial GTM planning.

The US target range of our base salary for new hires is $146,775 - $183,750. 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.

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You will create, plan and execute software development plans while ensuring efficiency, scalability and usability for our Commercial, Laboratory, and R&D teams. You will gather requirements and prioritize technical development in alignment with cross-functional teams and stakeholders.

This role will lead discussions with key-decision makers and stakeholders to create a comprehensive data platform roadmap outlining Freenome's path to commercialization and support for ongoing product development. You will work closely with our engineering team, leveraging your deep knowledge in Agile methodologies (Scrum, Kanban, sprint planning, etc) to enable seamless execution.

The role reports to the Associate Director, Technical Product Management. This role will be a Remote role, with onsite travel to our headquarters in Brisbane, California as needed.

As a Technical Product Manager, you will:

• Define requirements and manage the development processes, systems, and software infrastructure for the data platform and tools supporting Commercial and R&D initiatives.
• Partner with lab and business stakeholders to elucidate requirements, optimize workflows, and lead data platform and product definition, ensuring alignment with regulatory standards (e.g., HIPAA, HITECH).
• Work with engineers to translate product requirements into Epics and Stories with clear user acceptance criteria.
• Track and drive development and ensure fulfillment of requirements using issue tracking system (e.g., Jira).
• Lead and facilitate productive interactions between users and engineers to ensure user needs are understood and met.

You will create a thorough technical strategy and roadmap to scale Freenome's commercial data platform, tooling, and data products to support current and future products. Provide a clear and tangible vision for future development efforts with scalability and accessibility in mind.

Ensure complete data integrity throughout the pipeline with technical and process-oriented solutions.

Must have:

• Bachelor's degree in an analytical, technical, or scientific field; advanced degree preferred.
• At least 5 years of experience in a software development environment, ideally within biotechnology and NGS.
• Deep expertise in identification and prioritization of software features.
• Demonstrated ability to successfully lead complex trade-off decisions between functions and measurably improve organizational success and processes.
• Experience leading software development efforts to meet regulated market standards (FDA, CAP/CLIA), laboratory operations, medical affairs, or clinical study operations for diagnostics.

Nice to have:

• Experience in building solutions with a focus on multiomics, NGS, or proteomics a plus.

Benefits and additional information:

The US target range of our base salary for new hires is $118,150 - $167,475. 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.

We invite you to check out our career page @ https://freenome.com/job-openings/ for additional company information.

Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Applicants have rights under Federal Employment Laws.

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The ideal candidate is a professional with a proven track record identifying the KOLs and payors nationally, and addressing the clinical knowledge gaps across a wide range of customers by communicating impactful scientific information. You are passionate about patient care, and you will have a significant impact on the continued growth of an organization dedicated to changing the entire landscape of cancer.

Responsibilities:

• Identify and develop relationships with key decision makers in academic and community clinics, hospital systems, payor/managed care organizations, and other institutions that influence or manage the use of screening products.
• Collaborate with clinical and payor customers to understand their needs, knowledge gaps, challenges, and evidence requirements for clinical integration, reimbursement, and coverage.
• Develop timely and strategic territory/account plans to address customer needs.
• Educate and conduct meaningful scientific exchange with clinicians on the clinical attributes of Freenome products.
• Educate managed care/payors on the clinical value of Freenome products and services to drive plan inclusion and appropriate utilization.
• Providing support for on-site oral presentations, data reviews, and interactive education events for Key Opinion Leaders (KOLs).

Thought Leadership and Industry Awareness:

• Stay abreast of the latest scientific and clinical advancements, market trends, and regulatory guidelines relevant to our products, specifically in relation to market access, clinical, IDN, and payor environments.
• Represent the company at industry conferences, meetings, and other events as a thought leader and fostering key relationships.
• Assist in organizing forums and events for KOLs to discuss clinical challenges, unmet needs, and potential product improvements.
• Identify trends impacting patient access to blood-based cancer screening.
• Critically reviewing new publications and research findings to help develop educational slides, which are then submitted for approval to Medical Affairs and Marketing.

Strategic Partnerships:

• Collaborating with Sales executives to identify and advise on strategic partnership opportunities.
• Promote effective compliant collaboration with key internal and external stakeholders.
• Close strategic and tactical alignment with commercial field-based teams to ensure appropriate medical support.
• Build field medical territories for commercial launch.

Investigator Initiated Studies:

• Identify investigator initiated study proposals that align with Freenome SMA strategies.
• Present investigator study proposals to cross functional partners in clinical development and scientific medical affairs in support of research activities, including clinical trials, registries, ISTs, and/or RWE.

Must haves:

• Advanced degree in medical or health sciences (e.g. MS/MD/DO/PhD/PharmD).
• 5+ years relevant industry (diagnostic, pharmaceutical, oncology) experience required.
• Medical science liaison experience (oncology/diagnostic industries).
• In-depth scientific and/or therapeutic knowledge.
• Demonstrated understanding of clinical trial management.
• Working knowledge of regulatory guidance and reporting requirements.
• Exceptional organizational and time management skills.
• Strong presentations skills including excellent verbal and written communication.
• Strong interpersonal skills and demonstrated ability to work effectively in a cross functional team.
• A self-starter with a results-driven mentality and positive attitude.
• Computer proficiency in Excel, Word, PowerPoint, Adobe and Google’s office (Drive, Sheets, Docs, Slides, Forms).

Nice to haves:

• Existing relationships with key opinion leaders and affiliated institutions.

Benefits and additional information:

• The US target range of our base salary for new hires is $182,750 - $257,250. 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.

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You will own the go-to-market (GTM) execution, demand generation, and sales enablement strategies that turn our clinical evidence into a market-leading commercial brand.

This role will report to the VP, Marketing and is a remote or hybrid/onsite role with minimal travel requirements.

Responsibilities:

• Commercial Launch and Campaign Execution: Execute Go-to-Market (GTM) tactics for new products and indications by delivering integrated campaigns and cross-channel collateral and sales enablement tools that translate complex early-detection science into compelling messaging for PCPs and health system stakeholders.
• Customer acquisition and digital marketing: Develop and optimize digital marketing campaigns to drive system, HCP and patient acquisition. Oversee paid media strategy, SEO/SEM, email marketing, and conversion optimization. Use data to continuously test, refine, and scale campaigns based on performance.
• Sales Enablement & Field Support: Partner closely with the Sales and L&D teams to develop high-impact collateral, training modules, and 'objection-handling' tools that accelerate the sales cycle.
• Brand Stewardship: Ensure a consistent, high-integrity brand voice across all physician-facing and patient-facing touchpoints.
• Market Intelligence: Monitor the competitive landscape (Liquid Biopsy, Cologuard, etc.) to refine our positioning and maintain Freenome's competitive edge.
• Agency & Budget Management: Manage external creative and media agencies to deliver high-ROI campaigns while maintaining a disciplined marketing budget.
• External Stakeholder Relations: Build relationships with industry/market thought leaders, customers, societies, internal stakeholders and provide key insights to cross-functional teams.
• Provider Marketing & ABM: Design and execute Account-Based Marketing (ABM) strategies to engage referring physicians and healthcare professionals (HCPs). Partner with field teams to identify target segments and develop tailored content that drives referrals and builds brand trust.

Requirements:

• Bachelor's degree in a business, life sciences, or related field.
• 10+ years of experience in marketing, with at least 5 years specifically in downstream/commercial marketing within the molecular diagnostics, biotech, or medical device space.
• Ability to translate dense clinical data (Sensitivity, Specificity, NPV) into a narrative that a busy physician can understand in 30 seconds.
• Drive to thrive in the 'center of the wheel,' working across Sales, Medical Affairs, and Product Management to ensure everyone is aligned on the commercial mission.
• Demonstrated data-driven decision making. You don't just 'run ads'; you measure conversion rates, CAC (Customer Acquisition Cost), and physician engagement metrics to iterate constantly.

Nice to have:

• Experience launching a PCP-focused diagnostic test is a significant plus.
• Familiarity with the reimbursement landscape and how it affects downstream adoption.
• MBA or advanced degree in life sciences preferred.

Benefits and additional information:

The US target range of our base salary for new hires is $197,200 - $281,400. 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.

Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

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The role reports to the Director of Clinical Operations, Dennis McHugh. This role will be a Remote role with occasional travel, as required, to our Brisbane, California headquarters.

Responsibilities:

• Ensure compliance with standard protocol and regulatory and ICH GCP obligations in assigned aspects of clinical site monitoring, such as site initiation, routine monitoring, maintenance of study files, study close out, and retrieval of study materials.
• Complete on-site and remote monitoring activities in compliance with the Clinical Monitoring Plan, including source document verification for accuracy and integrity, as required.
• Write and submit reports of investigational site findings and update applicable tracking systems, as required; escalate observed deficiencies and issues as appropriate.

Requirements:

• Minimum Bachelor’s degree in a life science-related field, a registered nurse (RN) certification, or equivalent.
• 3+ years’ experience in a clinical trials research environment required, with specific in vitro diagnostics study experience.
• General knowledge of regulatory requirements & GCP.
• Ability to multi-task, deal with shifting priorities, and proactively solve problems/manage risks.
• Strong interpersonal, collaborative, and time management abilities.
• Excellent organizational skills; accurate and detail-oriented.
• High proficiency in Veeva Vault and Medrio.
• Strong spoken and written communication skills.

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You will be the primary driver of the 'how' behind our field medical strategy, ensuring our field teams are equipped, our processes are compliant, and our insights are integrated cross-functionally across Freenome.

The role reports to the VP Field Medical, Advocacy, and Medical Affairs Operations. This role will be a Hybrid or Remote role.

Responsibilities:

Strategic Operations & Program Management

• Operational Excellence: Lead the end-to-end planning, execution and communication for medical conferences.
• Advisory Board Management: Oversee the organization, logistics, content and execution of Advisory Boards, ensuring high-quality engagement with Key Opinion Leaders (KOLs).
• Publication Steering Committee (PSC) Management: Oversee the organization, logistics and execution of PSC meetings.
• Contracting & Vendor Management: Manage the contracting process for medical tools, software, and external advisors, ensuring seamless onboarding and compliance.
• SMA Program Leadership: Act as the lead program manager for Scientific Medical Affairs (SMA), maintaining organizational tools (ASANA), driving weekly meeting agendas, and ensuring project milestones are met.

Field Medical Enablement & Content

• Material Development: Create and update field medical materials, including core MSL slide decks and clinical training content.
• Medical Insights & Competitive Intelligence: Ensure accurate capture and cross-functional communication of medical insights as well as competitive intelligence.
• MLR Process Management: Serve as the operational lead for the Medical, Legal, and Regulatory (MLR) review process for all field medical content, ensuring materials are vetted and approved for use.
• Training & Communication: Develop and deliver comprehensive training programs on Medical Affairs processes and tools to ensure team-wide proficiency and alignment.

Innovation & Clinical Inquiry Support

• AI Integration: Lead the implementation of AI-driven solutions to capture, analyze, and propagate field medical insights cross-functionally, ensuring Freenome stays at the forefront of data-driven decision-making.
• Clinical Inquiry Response: Manage and respond to complex clinical inquiries.
• Commercial Synergy: Support commercial and sales training initiatives to ensure a unified and scientifically accurate voice across the organization.

Must haves:

• Advanced degree (PharmD, PhD, or MS) preferred; Bachelor’s degree in a scientific field required.
• 7+ years in Medical Affairs - Field Medical Enablement and Strategic Operations.
• 3+ years specifically in Medical Operations or Program Management within the molecular diagnostic industry.
• 2+ years of experience in oncology.
• Proven experience implementing AI tools or advanced CRM/Data visualization platforms to manage medical insights.
• Expert-level proficiency with project management software (e.g., ASANA, Smartsheet) and the ability to manage complex, multi-year timelines.
• Deep understanding of the MLR/PRC review process and PhRMA/OIG compliance guidelines.
• Exceptional ability to translate complex clinical data into digestible training materials and MSL resources.

Nice to haves:

• Experience in early cancer detection.
• Experience with liquid biopsy.

Benefits and additional information:

The US target range of our base salary for new hires is $170,000 - $241,500. 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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Our full-stack antibody drug development platform uses machine learning to drive every stage from discovery to optimization. Our roboticized high-throughput wet-lab continually adds to our large proprietary datasets, which are piped through a custom LIMS++ data management and orchestration layer to automatically update and deploy the latest models.

As a successful candidate, you will apply your world-class machine learning skillset to refine and expand this state-of-the-art protein engineering platform. Success will mean not only hands-on methods development, but helping shape the direction for future machine learning research, and actively participating in the application of our platform to the accelerated design of new therapeutics.

Key Responsibilities

• Design and implement the next state-of-the-art generative models of antibody sequence and structure, and predictive models of antibody properties, trained on proprietary internal datasets of thousands to millions of antibodies.
• Provide leadership, technical guidance, and mentorship to other machine learning and data science FTEs and interns.
• Help set strategy for future machine learning research, driven by a strong high-level understanding of BigHat programs and operations as well as real-world drug development challenges.
• Develop, refine, and deploy de novo design methods for generating initial hits to challenging, therapeutically interesting targets.
• Develop multi-modality, multi-objective iterative protein sequence optimization approaches to lab-in-the-loop antibody design problems for validation and deployment in our high-throughput wet lab - at BigHat success is only declared upon synthesis of real antibodies with drug-like properties.
• Maintain an in-depth understanding of the current state-of-the-art in machine learning-driven protein engineering, both in the literature and at BigHat.
• Share your findings at top-tier conferences and publish in leading scientific journals to advance the field of protein engineering.
• Provide machine learning expertise and support for ongoing therapeutics programs, directly contributing to the development of new drugs.
• Collaborate with our engineering team to ensure maximal efficiency in the automated and agentic deployment of our latest models to our therapeutics programs.
• Work closely with an interdisciplinary team of drug developers, wet lab scientists, automation specialists, data scientists, etc. to identify inefficiencies or potential improvements in BigHat’s platform, and plan and prioritize machine learning methods development accordingly.

Skills, Knowledge & Expertise

• PhD in machine learning/computer science or in the hard sciences with 5+ years experience post-graduation in developing and applying novel machine learning methods, and a strong quantitative background.
• Publications in major machine learning conferences and/or leading journals, and an extensive demonstrable track record developing and applying novel machine learning in industry.
• Strong competency in Python, familiarity with PyTorch, and experience with modern software engineering best practices.
• Excellent communication skills, sufficient biomedical domain knowledge to interact effectively with diverse scientific teams.
• Enjoys a fast-paced environment and excels at executing across multiple projects.
• Familiarity with the current state-of-the-art in machine learning-driven protein engineering
• Nice-to-haves include experience with de novo design, NGS data, Bayesian optimization, familiarity with antibody biology and drug development, and experience training and deploying models on AWS.

Benefits

The salary estimated for this position is $254,000 - $290,000 + 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.

What BigHat Offers:

• 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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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:

• inventory incoming and existing materials, track quantities and order more as needed, and restock shelves with necessary materials.
• Respond to purchasing requests from lab users, routing through the appropriate level approval pathways and placing orders for requested items.
• Take leadership of vendor relationships and coordination of support and maintenance services.
• Coordinate, perform, troubleshoot, and document laboratory instrumentation events, communicating updates to the broader team.
• Ensure all projects have the materials and instrumentation necessary to run smoothly.
• Obtain certification for handling, shipping, and disposal of hazardous materials and coordinate shipments and pickups as needed, maintaining good documentation of events.
• Maintain the cleanliness, safety, and organization of the lab and storage spaces.
• Assist with and own documentation of various related areas such as SDS management, SOP writing and processing, and hazardous waste documentation.
• Communicate with lab team members to understand, respond to, and communicate their needs.

Skills, Knowledge & Expertise:

• BS in Biology, Chemistry, or a related field, with 1+ year(s) of industry experience.
• Experience in a laboratory environment, with experience in lab operations, inventory management, documentation systems, purchasing systems, or instrumentation maintenance a plus.
• Self-motivated individual with attention to detail, excited to work in a dynamic start-up environment.
• Strong interpersonal skills and ability to effectively communicate with members of a multidisciplinary team.
• Excellent record-keeping abilities.
• Experience with Google Suite, with a focus on Google Sheets.
• Experience with LIMS, lab management, and organizational software is a plus.

Benefits:

• The salary estimated for this position is $80,000 - $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

XML job scraping automation by YubHub

This role is designed for engineers with several years of experience building and supporting production software who are excited to grow their technical scope and domain impact. Depending on experience and demonstrated impact, this role may be leveled as Software Engineer I (SWE I) or Software Engineer II (SWE II).

Key Responsibilities:

• Design, implement, test, and maintain features in BigHat's internally developed, cloud-based LIMS+ platform.
• Work independently on well-scoped features and improvements, following work through implementation, testing, and release.
• Collaborate closely with cross-functional partners (scientists, product owners, and other engineers) to translate real-world lab workflows into reliable software.
• Participate actively in engineering ceremonies, technical discussions, and code reviews.
• Own the quality and outcomes of your work, including debugging, test failures, and production issues.

This role reports to the Lab Systems Lead and works closely with the Lab Systems Product Owner, with responsibilities that impact teams across BigHat.

About You:

• You have experience contributing to and owning work in a production software environment.
• You are comfortable working independently on small to medium features and improvements.
• You communicate clearly about progress, risks, and tradeoffs, and collaborate effectively with peers and partners.
• You take ownership of your work and follow issues through to resolution.
• You are curious and motivated by building software that supports real users doing complex work.

Experience:

• 3–5 years of professional software engineering experience building production systems OR 2+ years of professional software engineering experience with prior experience in biotech, life sciences, laboratory environments, or scientific software, where domain knowledge meaningfully accelerates impact.

Relevant Tech / Skills:

• Experience with some (not necessarily all) of the following: TypeScript, React, Material-UI, Vega, Python 3, SQLAlchemy, RESTful API design, AWS (CDK, Lambda, Step Functions, ECS/Batch, Fargate, API Gateway, Athena), relational databases (e.g., PostgreSQL), Pandas, PyTorch or other ML frameworks (nice to have, not required).

Benefits:

• The salary estimated for this position is $135,000 - $175,000 + 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

XML job scraping automation by YubHub

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

XML job scraping automation by YubHub