At AstraZeneca, we work together to deliver innovative medicines to patients across global boundaries. This is an opportunity to further develop your pharmacovigilance (PV) experience in safety programs, spanning the entire life cycle of drug development and peri-/post-submission.

Our Scientists and Physicians play a strategic role in developing our medicines and the safety science of the program. AstraZeneca's oncology pipeline, which includes novel combinations and modalities, provides an intellectual challenge to the safety teams, requiring a broad portfolio and scientific management approach to projects.

We are looking for an Associate Director, Senior Patient Safety (PS) Scientist to join our Patient Safety department, working in the Oncology Therapeutic Area. In this exciting and challenging role, you will work collaboratively with the Global Safety Physician (GSP) and other PV Scientists and physicians.

As an Associate Director, Senior Patient Safety Scientist, you will be involved in aggregating, reviewing, analyzing and interpreting safety-related data to generate information to support safety decision-making by prescribers, patients and payers, with the ultimate goal of protecting patients.

You will apply your PV, oncology and scientific experience, knowledge and skills to deliver all aspects of safety documentation, including authoring and/or providing strategic safety input to regulatory documents, e.g., regulatory reports, health authority responses and the safety content of marketing authorization applications.

Patient Safety sits within the Chief Medical Office, where we have a crucial role to play. This is an exciting period for us, as well as for those poised to join us. Our strategy and ability to transform our medicines portfolio means we have a drug-development pipeline that presents incredible opportunities to push the boundaries of science to deliver life-changing medicines.

Minimum Education, Experience and Skill Requirements:

• A Bachelor's in sciences/pharmacy/nursing degree or related field
• Minimum of 3+ years of validated experience
• Patient Safety and/or Clinical/Drug Development proven experience working in safety &/or scientific activities in at least 3 of the following areas:

Clinical drug development (Early and/or Late Phase: develop & deliver program level safety strategy, including proactive risk identification & mitigation planning) Post-Marketing Surveillance (including signal detection & evaluation) MAA/BLA submissions (preparation and authoring of the safety related aspects of the Common Technical Document) Periodic Safety Reports (deliver strategy, preparation and authoring) Risk Management Plans (deliver strategy, preparation and authoring) Governance board interactions and communication across a range of activities

• Good knowledge of PV regulations
• Demonstrated ability to handle more than one activity simultaneously, prioritizing well and recognizing key issues
• Ability to work effectively in an advanced matrix structure
• Proficient in written and verbal English

Preferred Education, Experience and Skills:

• MSc/PhD/PharmD in scientific field
• 2+ years of relevant experience
• Understanding of epidemiology

Pay Transparency: The annual base pay (or hourly rate of compensation) for this position ranges from $132,873.60 - $199,310.40.

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This role will report to the Vice President Clinical Respiratory.

Key responsibilities include:

• Providing clinical and medical expertise input into overall project strategy

• Having accountability for the clinical deliverables i.e. clinical studies, clinical components of regulatory submissions etc to time

• Serving as the single point of contact for TA-Heads and R&D leaders for clinical and scientific components of the product and/or indications

Essential qualifications include:

• An MD, or other equivalent medical degree from an accredited university with specialty training in Respiratory or related area

• 7 years’ relevant experience within the respiratory space, including late-phase drug development experience

• Demonstrated deep clinical and research expertise in appropriate disease area

• Significant hands-on late phase clinical drug development experience

• Developed/delivered multiple complex and large studies (e.g., including but not limited to multinational outcome studies)

• Scientific credibility internally and externally

• Demonstrated success in influencing functions outside of clinical and across geographies

• Experience of benefit/risk assessment and creating patient risk management plans

• Experience of global regulatory submissions and interacting with major regulatory agencies

• Demonstrated ability to successfully lead, coach, and mentor other physicians/scientists

• Proven teamwork and collaboration skills in a global setting

• Credible in scientific and commercial environments

• Fit for purpose business acumen, and insight into payer and reimbursement hurdles globally

• Line management experience

Desirable qualifications include:

• Global external awareness within the therapeutic area

• Global regulatory awareness

• Ability to travel nationally and internationally

• Experience in several organizations and geographic locations

• Experience of working with Market Companies to deliver studies/projects

• Experience of clinical/commercial interface

Join AstraZeneca in our journey of building a new kind of organization to reset expectations of what a biopharmaceutical company can be. We are committed to delivering life-changing medicines and making a positive impact on people's lives.

The annual base salary for this position ranges from $331,873 - $497,810. However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience.

In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program.

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 salary (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.

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Ready to shape how complex oncology trials are delivered in practice?

Accountabilities

• Hold overall accountability for meeting country-level study commitments, ensuring timely delivery of high-quality data.
• Lead Local Study Teams for assigned studies, including CRAs, CSAs and other contributors, promoting collaboration, clarity of roles and strong performance.
• Drive optimal performance and compliance of Local Study Teams with AstraZeneca Procedural Documents, ICH-GCP requirements and local regulations.
• Oversee high-quality clinical and operational feasibility assessments for potential studies, providing robust input into study selection and design.
• Coordinate and manage the site selection process, including identification of potential sites and investigators, initial site quality risk assessments and, where needed, Site Qualification Visits to assess suitability and quality risk.
• Ensure timely submission of applications and documentation to Ethics Committees/IRBs and, in partnership with Regulatory Affairs, support delivery of submissions to Regulatory Authorities in line with local requirements.
• Prepare accurate country-level financial agreements and maintain current study budgets within the clinical financial system, working closely with Director SMM or Director Country Head and Clinical Finance as appropriate.
• Ensure effective set-up and ongoing management of studies within CTMS, eTMF, study finance systems and any other tools or local platforms required by country-specific laws and processes.
• Oversee, manage and coordinate all monitoring activities from site activation to closure according to Monitoring Plans, reviewing monitoring visit reports and providing guidance and support to monitors.
• Conduct co-monitoring visits, accompanied site visits and training visits with study CRAs to drive quality, consistency and development.
• Proactively identify risks, facilitate rapid resolution of complex study issues and escalate when necessary.
• Organize and lead regular, agenda-driven Local Study Team meetings that enable transparent communication, issue resolution and aligned decision-making.
• Build and maintain strong working relationships with Local Study Team members, site staff and global stakeholders to support smooth study execution.
• Report study progress, milestones, risks and mitigation plans to the Global Study Associate Director, Global Study Team and SMM/Study Operations Lead as applicable.
• Contribute to patient recruitment strategies and maintain regular contact with investigators to support enrolment targets.
• Develop, maintain and review a study-level country risk management plan, managing sites, stakeholders, vendors and customers to ensure timely risk identification and mitigation.
• Coordinate closely with National Coordinating Investigator or National Lead Investigator on recruitment and other key study matters where applicable.
• Plan and lead National Investigator Meetings in line with local codes when required.
• Support forecasting for study timelines, resource needs, recruitment, budgeting, materials and investigational product supply.
• Ensure set-up, updating and access to business-critical systems for Safety Reporting, Regulatory Submissions and Clinical Trial Transparency at country level.
• Ensure accuracy and compliance of all study payments in accordance with local regulations and agreements.
• Participate in training and coaching of new Local Study Team members to ensure quality delivery and adherence to ICH-GCP and AstraZeneca procedures.
• Maintain the study eTMF in an inspection-ready state at all times, ensuring documentation is complete, accurate and current.
• Plan and lead audit and regulatory inspection activities in collaboration with the Clinical Quality Associate Director and Quality Assurance teams.
• Contribute insights to process development and continuous improvement initiatives across the organization.
• Keep line managers regularly informed about study status, milestones, key issues and team performance.
• Ensure full compliance with local policies, codes of ethics and business practices in all study-related activities.
• Provide feedback on research trends, competing studies and site/investigator insights that can inform local strategy.
• Collaborate with the local Medical Affairs team as needed to support optimal study delivery and scientific quality.
• Actively support SMM initiatives at local, regional or global level as agreed with line management.

Essential Skills/Experience

• Bachelor’s degree in related discipline with 5+ years of previous experience in the pharmaceutical industry
• Relevant knowledge and ability to fulfill key responsibilities, including but not limited to:

+ Drug development process and related GxP processes, International guidelines ICH-GCP, relevant country regulations, medical knowledge and ability to learn relevant AZ Therapeutic Areas, Clinical Study Management including project management, monitoring, study drug handling and data management. + Personal Effectiveness & Drives Accountability in Others + Learning Agility + Financial, Technology & Process Competency + Active Listening, Fluency in written & spoken business-level English + Act with Integrity & high ethical standards + Effectively lead a team across in-person and virtual settings to deliver shared goals, demonstrates cultural awareness + Identify and champion more efficient delivery of quality clinical trials with optimized cost and time + Ability to travel nationally/internationally as required + Valid driving license, if country employment requirement + Communication & Teamwork – Influencing, Collaboration, Impactful Site conversations + Effective, risk-based thinking – Plans & Aligns, Strategic thinking, Problem Solving, Critical Thinking, + Decision Making, Effective Issue Management + Clinical Study Operations (GCP) & Quality Management – RbQM: Interpreting and implementing the Monitoring Plan, Study site selection & set-up + Deliver Priorities Results & Impact – Project Management, Recruitment/Retention Planning & Action

Desirable Skills/Experience

• Bachelor's degree in the life sciences field is preferred
• Previous experience in Clinical Operations (CRA, SrCRA) or other related fields (Medical Affairs-led or Academic-led studies) is a plus

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As part of this role, the Publications Lead will engage and collaborate with internal colleagues and external experts, investigators, journals, conference organisers and external bodies to deliver strategic publication and communication activities. They will also collaborate effectively with regional and country affiliates to develop and maintain integrated external scientific communications plans for regional and local healthcare professionals, payers, and patients.

The Publications Lead will be responsible for ensuring ethical compliance with AZ standards and external publication guidelines of the publications plans and deliverables, and they will ensure that all publications represent transparent and fair-balanced communications that enhance the Company's external scientific reputation.

Key responsibilities include:

• Developing and executing strategic publication plans for global clinical registration studies and non-clinical trial sources
• Collaborating with internal colleagues and external experts to deliver strategic publication and communication activities
• Ensuring ethical compliance with AZ standards and external publication guidelines of the publications plans and deliverables
• Representing the Company's external scientific reputation through transparent and fair-balanced communications

Requirements include:

• Minimum of a Bachelor's Degree in a scientific discipline with research experience
• Minimum 5 years of experience in the publications field, or medical communications gained through working in the pharmaceutical industry or a medical communications agency
• Demonstrated project management experience
• Broad understanding of drug development process
• Working knowledge of AI/LLM concepts relevant to scientific publishing
• Demonstrated performance, budget, and resource management skills in a global organisation
• Excellent leadership and project management skills to deliver in a complex multidisciplinary environment
• Ability to establish and maintain professional relationships with external experts, investigators, journal editors and publishers and professional bodies
• Ability to effectively manage multiple stakeholders and projects to within budget
• Flexibility and adaptability to manage long-term activities in a constantly changing internal and external environment

Desirable requirements include:

• Relevant post-graduate degree
• Experience of working globally, cross-culturally and cross-functionally
• Proven experience designing and scaling AI-enabled workflow (e.g. prompt libraries, fine-tuning/evaluating LLMs), with measurable impact, e.g. timelines
• CMPP Certification
• Working knowledge of iEnvision publication management system, and Microsoft Office products
• Strong therapeutic knowledge in cardiovascular, renal and/or metabolic therapy areas, with proven ability to adapt quickly to other therapeutic specialties

Benefits include:

• Annual base pay ranging from $193,281.60 to $289,922.40
• Short-term incentive bonus opportunity
• Eligibility to participate in equity-based long-term incentive programme (salaried roles)
• Retirement contribution (hourly roles)
• Commission payment eligibility (sales roles)

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 programme) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

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• Zone A$251K – $335K • 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.

About the Team

The AI Deployment Engineering team works at the intersection of cutting-edge AI research and real-world application. We partner directly with OpenAI’s most strategic customers to design, implement, and scale production deployments of generative AI systems. Our work ensures that organizations can safely and effectively integrate AI into critical workflows.

Within this team, the Health & Life Sciences (HLS) segment focuses on enabling pharmaceutical manufacturers, biotechnology companies, medical device organizations, contract research organizations (CROs), and health systems to adopt AI responsibly in regulated environments. We work across clinical, scientific, regulatory, and operational functions to unlock meaningful impact while maintaining the highest standards of safety, privacy, and compliance.

About the Role

We are seeking a Manager, AI Deployment Engineering to lead our Healthcare & Life Sciences deployment efforts. In this role, you will build and mentor a high-performing team of deployment engineers dedicated to helping HLS organizations move from experimentation to production with OpenAI technologies.

You will operate at both strategic and technical levels , partnering with executive stakeholders, technical leaders, and cross-functional internal teams to deliver secure, compliant, and high-impact AI deployments. This role requires a strong technical foundation, people leadership experience, and a deep appreciation for the complexity of regulated healthcare and life sciences environments.

This role is based in San Francisco or Seattle. We use a hybrid work model of 3 days in the office per week.

Responsibilities

• Own the strategy and operating model of the HLS AI Deployment Engineering team, ensuring alignment with company objectives and the evolving needs of our customers.

• Hire, mentor, and develop a high-impact team of AI Deployment Engineers focused on HLS production deployments

• Establish operating mechanisms, delivery standards, and best practices tailored to regulated environments

• Foster a culture of technical excellence, customer empathy, and responsible AI deployment

• Drive Successful Enterprise Deployments and oversee end-to-end implementation of generative AI applications in production across healthcare and life sciences organizations

• Guide customers through complex integration efforts spanning R&D, clinical development, regulatory affairs, medical affairs, and IT

• Develop scalable frameworks for secure, compliant AI adoption in environments governed by HIPAA, GxP, FDA, EMA, and related regulatory standards

• Ensure measurable impact through activation, adoption, and workflow transformation (e.g., drug discovery acceleration, clinical documentation support, regulatory submission drafting)

• Collaborate closely with Sales, Account Directors, Solutions Architects, Product, Security, and Legal teams

• Serve as a trusted technical advisor to executive and senior technical stakeholders at enterprise HLS customers

• Provide structured product feedback informed by real-world deployment challenges and industry requirements

Requirements

• Have 8+ years of experience in technical delivery, solutions engineering, or deployment roles, including people management experience

• Have led enterprise-scale implementations of AI, ML, or platform technologies

• Bring experience in healthcare or life sciences environments, including familiarity with clinical research, drug development, regulatory operations, or health system infrastructure

• Understand compliance frameworks such as HIPAA, GxP, and global regulatory considerations

• Are comfortable engaging with executive stakeholders while maintaining technical depth

• Enjoy operating in ambiguous, fast-moving environments and building structure where it does not yet exist

• Care deeply about responsible AI and its application in high-stakes domains

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to sensitive and confidential information, including but not limited to, customer data, financial information, and proprietary technology.

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Based in Mount Vernon, US, the position leads a high-performing team that supports OSD platform teams and senior scientific experts, ensuring robust, reliable and innovative manufacturing performance across the product lifecycle.

In this role, the Senior Director Global OSD leads and develops a diverse technical organisation focused on delivering strong product and process performance for AstraZeneca’s commercial OSD portfolio. The position manages and coaches direct reports, building capability, engagement and succession while fostering a culture of continuous improvement and innovation.

As a key member of the North Americas Commercial Operations Leadership Team, the role shapes regional strategy, aligns cross-functional priorities and translates strategy into clear, actionable plans that drive value across the network.

The Senior Director is accountable for proactively managing product and process robustness, using data, AI and advanced analytics to generate insights and drive performance improvements.

The role develops and implements science and innovation strategies for OSD manufacturing, with particular emphasis on material science, pharmaceutics and new technology introduction in partnership with Manufacturing Technology and Product Development.

A critical part of the remit is to maintain a best-in-class technical support model for internal manufacturing sites and external partners, ensuring outstanding customer service and effective risk management.

The Senior Director sets clear direction, communicates with impact and influences at all levels to embed Lean principles, operational excellence and compliant ways of working across the function.

The role also carries financial accountability for the team’s budget, including headcount and revenue, ensuring resources are deployed effectively to deliver strategic priorities.

Operating confidently in a global environment, the Senior Director builds an organisation ready for future challenges and change, contributing significantly to the success of Operations and the commercial viability and availability of current products.

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The Specialist, Global Clinical Solutions (IRT Lead) provides global centralized services across drug projects and related activities, helping clinical development programs meet time, cost, and quality expectations across all delivery models.

Key Responsibilities

• Deliver GCS services that support clinical development activities across multiple projects and stakeholders.
• Set up and maintain systems, tools, and data associated with projects, services, and technology in partnership with Study Teams and external partners, ensuring appropriate standards, completeness, quality, and consistency.
• Support life cycle management and business continuity for operational processes, procedures, systems, tools, standards, procedural documentation, and training materials.
• Provide support to user communities by conducting relevant process, system, and tool trainings, facilitating knowledge sharing, establishing best practice, and maintaining effective communication with stakeholders across GCS and AstraZeneca.
• Perform analyses of processes and tools to define business usage and identify opportunities to improve efficiency and effectiveness of systems, methods, and processes; support the development of User Requirement Specifications and User Acceptance Tests.
• Contribute to business cases for continuous improvement projects that enhance how we deliver clinical studies.
• Prioritize workload effectively to achieve personal and work unit targets in a dynamic environment.
• Participate in change initiatives that evolve our ways of working and enable better outcomes for patients.

Essential Skills and Experience

• Bachelor's degree with 0+ years of work experience in the pharmaceutical industry or in clinical study delivery/clinical development processes.
• Proven organizational and analytical skills, as well as proven ability to multitask.
• Strong time management skills and task-oriented performance.
• Previous administrative training/experience.
• Computer proficiency.
• Excellent knowledge of spoken and written English.
• Strong communication skills.

Desirable Skills and Experience

• A good understanding of the clinical study process.
• Programming experience or programming aptitude.
• Knowledge of pharmaceutical drug development and clinical study processes and associated government regulations, ICH GCP.
• Shown willingness and ability to train others on study support processes and procedures.
• Demonstrate the ability to proactively identify risks and issues as well as possible solutions.
• GxP trained.

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As a critical member of the US Medical Affairs team, you will be responsible for providing scientific leadership, external engagement, and cross-functional influence to advance evidence generation, medical education, and development of medical affairs strategy to support commercialization strategic plans of the portfolio.

Key responsibilities include:

• Overseeing US medical affairs strategy and contributions into the Bayer pipeline portfolio in collaboration with medical directors and in alignment with the VP of Specialty and Pipeline TA.
• Providing input, appropriate to the Phase of development of a product to ensure US perspective and needs are incorporated into development strategy.
• Active participation and effective collaboration with global teams to assure the efficient and expedient conduct of clinical development programs, aligning them with strategic priorities that support appropriate US direction of the Life Cycle Management strategy.
• Working collaboratively with US New Product Commercialization, Market Access and US regulatory teams to provide expert medical input into strategic plans.
• Serving as a member of Product Team and/or Clinical Strategy Team leadership of multiple assets in different therapeutic areas.
• Supporting development and execution of the US medical strategy, offering critical inputs during design and throughout the end-to-end execution of programs, in alignment with senior medical leadership.
• Collaborating cross-functionally with Global Evidence Generation, Clinical Development, Regulatory, Commercial and other medical affairs partners to develop and implement the Integrated Evidence Plans to improve the value proposition for the portfolio.
• Contributing to publication planning, data interpretation, and scientific dissemination in the US.
• Providing medical scientific input for brand and program documents, including integrated disease area plans, medical information documents, drug safety reporting documents, etc, while ensuring design and execution of all medical activities are according to internal and external compliance guidelines.
• Monitoring and understanding implications of evolving competitor landscape to inform medical strategy.
• Supporting completion of annual New Drug Application (NDA) reports for respective brands through evaluation of clinical data and literature and provide US Medical Affairs input in the preparation of key medical documents for INDs and NDAs.

Additionally, you will:

• Develop and guide local Thought Leader (TL) engagement strategy, together with cross-functional partners.
• Serve as the US medical expert engaging thought leaders, academic institutions, medical societies, and patient advocacy groups to advance scientific leadership and collaboration.
• Lead and support advisory boards, including agenda development, faculty engagement and synthesis of insights to help inform medical strategy.
• Represent US Medical Affairs at major congresses, symposia and scientific forums.

To be successful in this role, you will need:

• An M.D. or D.O. degree.
• Agility and ability to flex into different therapeutic areas.
• Clinically relevant work experience or independent research experience or equivalent or experience in a pharmaceutical related industry.
• Experience working in or deep understanding of in-hospital consideration in US healthcare delivery.
• Deep understanding of clinical trial design, analysis and interpretation as well as the principles of observational studies and health economics/ outcomes research.
• Robust understanding of regulatory and market access considerations and triangulating those to implications on clinical trial design and clinical care delivery.
• Proven ability for strategic planning along with operations skill and experience related to clinical research involving both single and multiple centers.
• Strong ability to quickly build meaningful and trusting relationships, both internally and externally to the organization.
• Understanding of the drug development process over different stages.
• Strong ability to connect and collaborate across different functions and background, both internally and externally to the organization.
• Innate ability to lead others without formal authority, with demonstrated experience guiding teams from design to implementation of strategic initiatives.
• Excellent communication skills, both verbal and in written.
• Willingness and ability to travel as business dictates, both for internal and external functions.

Preferred qualifications include:

• Board certification or board eligibility in cardiovascular, neurology, critical care medicine.
• 7 years work experience in the pharmaceutical sector in Medical Affairs, Clinical Development or related positions.
• Experience in the field of medical support of a product portfolio across multiple therapeutic areas.
• Experience in leading and participating in teams across cultures and geographies, prior experience in global medical launch planning activities.

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Responsibilities:

• Lead deal-by-deal opportunity/asset teams from asset identification to transaction close
• Collaborate with the BD team to identify target areas for outreach, focusing on strategic alignment with our goals
• Own and manage one or more designated business development outreach areas
• Maximise activity and ensure high-quality deal flow in assigned outreach areas
• Conduct initial triage of opportunities, evaluating potential deals before engaging the broader diligence team to ensure strategic fit

About You: The ideal candidate will have a strong scientific background paired with business acumen, ideally with experience in search and evaluation, venture, or business development.

• PhD in biological science or MD with laboratory research experience strongly preferred
• 3-7 years of post-degree experience, with a combination of scientific and business expertise
• Prior experience of biotech or pharmaceutical business development (search & evaluation), venture capital investing, or life sciences consulting is highly preferable
• Strong network within the biotech and pharmaceutical industries, with the ability to leverage contacts for sourcing early-stage assets

This role offers the opportunity to help build the pharma company of the future, combining strategic asset acquisition with tech-enabled development capabilities to bring new treatments to patients faster and more efficiently.

Total Compensation Range: $228,000 - $310,000

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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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About the Position

As a Data Scientist on the platform prediction team, you will translate our probability of success predictions into measurable portfolio-level outcomes. You will architect core systems that let us rigorously evaluate signals from our AI-driven predictions in public and private equities and our internal portfolio.

This role sits at the intersection of quantitative finance, healthcare data, and AI-driven drug development. If you're excited about applying portfolio construction and risk management fundamentals to one of the most consequential prediction problems in healthcare, this is the role.

Responsibilities

• Work with the team to implement and maintain core portfolio engine: order management system, execution simulation layer, portfolio construction service, and performance tracking
• Design risk frameworks that quantify exposure across a portfolio of drug development bets with radically different risk profiles, timelines, and failure modes
• Run rigorous backtesting experiments with strict temporal constraints to evaluate Formation strategies against baseline approaches and measure marginal signal from new evidence sources
• Coordinate across the organization to integrate internal Formation data sources (clinical trial data, genomic evidence, real-world data) and proprietary tooling into portfolio analytics pipelines
• Work with product and engineering teams to build dashboards and reporting that communicate portfolio performance, risk metrics, and strategy comparisons to both technical and executive stakeholders
• Collaborate with the broader data science team to ensure portfolio-level evaluation feeds back into model improvement and evidence prioritization

About You

We are looking for a highly motivated and experienced Data Scientist to join our team. The ideal candidate will have a strong background in data science, machine learning, and software development, with a proven track record of delivering high-quality results in a fast-paced environment.

Requirements

• MS or PhD in a quantitative field (statistics, finance, physics, computational science, engineering, or related)
• 1-3 years in a quantitative research, data science, or analytics role , finance, healthcare, academic research, or consulting all count; substantive internships qualify
• Strong Python programming skills with experience in data-intensive workflows (pandas, numpy, scipy)
• Solid grasp of core portfolio construction and risk concepts: position sizing, rebalancing, Sharpe ratio, drawdown, volatility, benchmark comparison
• Demonstrated ability to work with messy, real-world datasets , comfortable with data wrangling, deduplication, and quality assessment
• Clear communicator who can present quantitative results to both technical peers and business stakeholders

Preferred Qualifications

• Experience with backtesting frameworks or portfolio simulation (vectorbt, Backtrader, or custom implementations)
• Exposure to healthcare, pharma, or biotech data (clinical trials, claims data, -omics, real-world evidence)
• Familiarity with alternative data in a research or investment context
• Experience with probability-of-success modeling, drug development decision analysis, or health economics
• Comfort with LLMs or AI/ML pipelines in a production or research setting
• Familiarity with dashboard/visualization tools (Streamlit, Plotly, Dash) and pipeline orchestration (Dagster, Airflow)

Total Compensation Range: $154,500 - $202,000

**Compensation Individual compensation is determined by several factors, including role scope, geographic location, and skills & experience. Your offer will reflect where you fall within the range based on these considerations. In addition to base salary, we offer equity, comprehensive benefits, and generous perks. If the posted range doesn't match your expectations, we still encourage you to apply!

**Where We Hire Formation Bio is prioritizing 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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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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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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