Pfizer
Director, External Science Lead, Biologics Discovery and Design
United States - Massachusetts - Cambridge · Director
Sponsorship not specified$177k-$294kDetected 9 days ago
TypeScriptMachine LearningAccessibilityBusiness DevelopmentRecruitingResearchAnimal StudiesLeadershipCommunicationCollaborationProblem Solving
About the role
- You will work closely across all Research Units (RUs) to ensure broad applicability and portfolio impact, leading diligence, governance, and partnership execution aligned with strategic priorities.
- The annual base salary for this position ranges from $176,600.00 to $294,300.00.
Responsibilities
- Lead global networking and sourcing of external biologics discovery and protein engineering technologies
- Identify and evaluate AI/ML-enabled platforms for protein design, structure prediction, and design-make-test workflows
- Partner with Bio-Molecular Design to define high-impact use cases and integration pathways into internal workflows
- Drive alignment and adoption across all Research Units (RUs) and partner lines
- Build and lead cross-functional diligence teams to evaluate scientific and strategic fit
- Leverage internal capabilities to position Pfizer as partner-of-choice and enable collaboration success
- Experience using common AI tools, including generative technologies such as ChatGPT or Microsoft Copilot, to support problem solving and enhance productivity.
Requirements
- PhD or similar advanced degree with 5+ years of relevant industry experience, including significant experience in biologics discovery, protein engineering, or related discipline
- Experience in business development, alliance management, or technology partnerships
- Knowledge of early developability and biologics optimization considerations
- Experience evaluating external scientific opportunities and driving prioritization
- Experience working in cross-functional, matrix organizations
Nice to have
- Experience in pharmaceutical drug development (Idea to Candidate) process.
- Previous experience in biotechnology companies and/or venture investment.
- Experience in process development, formulation, or drug product technologies
- Travel to partnering conferences, scientific meetings, Pfizer and collaborator sites required app.
- Demonstrated curiosity for exploring how these tools can improve outcomes and understanding of responsible AI practices, including risk management and ethical use.
- Relocation assistance may be available based on business needs and/or eligibility.
- Candidates must be authorized to be employed in the U.S. by any employer.
- U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future.
Compensation
- The annual base salary for this position ranges from $176,600.00 to $294,300.00.
Benefits
- Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com).
- Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations.
- These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure.
- In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 20.0% of the base salary and eligibility to participate in our share based long term incentive program.
- We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments.
- Pfizer compensation structures and benefit packages are aligned based on the location of hire.
Equal opportunity
- This is to be used solely for accommodation requests with respect to the accessibility of our website, online
Visa & Work Authorization
- U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future.
This listing is sourced directly from Pfizer's careers page and normalized into a canonical job model.