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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading scientific strategy and translating complex biological and clinical data into actionable insights, with a strong focus on AI-enabled approaches and cross-functional collaboration. Proficient in computational methods and statistical reasoning to influence scientific and development decisions in biotechnology and pharmaceutical R&D.
Highest-signal resume keywords
PhD, MD, PharmD, Or Equivalent Advanced DegreeExperience Leading Cross-Functional Scientific ProgramsProficiency In R And/or PythonMachine Learning And AI ConceptsBiological And Clinical Data Analysis
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Computational BiologyTranslational BiologyBioinformaticsGeneticsGenomicsBiostatisticsStatistical ReasoningExperimental DesignQuantitative InterpretationReproducible Research
Soft Skills
Influencing Senior StakeholdersMentoring And Guiding ScientistsClear Scientific CommunicationCollaboration Across R&D FunctionsOperating With Substantial Autonomy
Tools & Technologies
AI CapabilitiesComputational MethodsAnalytical WorkflowsData Visualization ToolsMulti-Omics ApproachesSingle-Cell Biology TechniquesDigital Pathology ToolsClinical Trial DatasetsReal-World Data AnalysisEvidence Generation Practices
Industry Keywords
Biotechnology R&DPharmaceutical R&DTranslational ResearchPrecision MedicineBiomarker StrategyDrug DiscoveryClinical DevelopmentMultidisciplinary TeamsCross-Functional WorkstreamsTherapeutic Areas
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Lead a portfolio of high-value biological, translational, and clinical questions across R&D
- Serve as a senior scientific bridge between therapeutic-area teams and the AI Core
- Shape analytical and AI strategies, including study design, validation, and evidence standards
- Interpret complex multimodal evidence and translate it into clear scientific recommendations
- Influence scientific, development, and portfolio decisions through data and biological judgment
- Drive adoption and reuse of successful AI-enabled scientific approaches across programs and teams
- Identify and prioritize questions where integrated biological, clinical, and computational evidence can materially change a scientific or development decision
- Lead scientific strategy from problem formulation through analysis, validation, interpretation, and recommendation
- Generate and test hypotheses connecting molecular mechanisms to patient biology, treatment response, and development strategy
- Partner with AI scientists, engineers, computational biologists, statisticians, and domain experts to define fit-for-purpose approaches
- Define cohorts, endpoints, labels, biological annotations, evaluation criteria, and validation plans
- Guide selection and application of computational methods and AI capabilities
- Challenge outputs for biological plausibility, robustness, generalizability, uncertainty, and decision relevance
- Advise scientific and clinical leaders across discovery, translational medicine, and clinical development
- Build partnerships across R&D functions and represent translational and computational perspectives in cross-functional program and portfolio discussions
- Lead or guide analyses involving multi-omics, single-cell and spatial biology, genetics and genomics, perturbational and functional biology, imaging and digital pathology, clinical trial datasets, real-world data and evidence, scientific literature, internal knowledge, and other multimodal data sources
- Establish standards for rigor, reproducibility, validation, and evidence
- Communicate complex evidence to scientific, clinical, technical, and senior leadership audiences
- Mentor and guide scientists and cross-functional colleagues and help embed successful approaches into repeatable scientific practice
Requirements
What you’ll need- PhD, MD, PharmD, or equivalent advanced degree in Computational Biology, Translational Biology, Bioinformatics, Genetics, Genomics, Systems Biology, Biomedical Sciences, Biostatistics, or a related discipline with 10+ years of relevant industry or research experience; or a Master's degree with 12+ years of relevant experience, or an equivalent record of scientific and translational impact
- Sustained record of translating complex biological and clinical data into insights that influenced meaningful scientific, development, or portfolio decisions
- Experience leading cross-functional scientific or translational programs from an ambiguous question to an evidence-based decision
- Experience defining strategy and priorities for complex analytical, biomarker, precision-medicine, or data-driven work
- Experience applying computational and quantitative approaches to real-world biological and clinical questions
- Experience influencing senior stakeholders through clear scientific reasoning, evidence, and recommendations
- Experience operating with substantial autonomy in matrixed organizations and aligning contributors without relying on formal authority
- Working or strong proficiency in R and/or Python, or equivalent computational tools sufficient to work directly with data and analytical workflows
- Statistical reasoning, experimental design, and quantitative interpretation
- Biological and clinical data analysis and visualization
- Reproducible research and evidence-generation practices
- Machine learning and AI concepts relevant to biomedical research
- Ability to evaluate model outputs, uncertainty, limitations, and scientific validity
- Demonstrated depth in one or more major scientific domains such as multi-omics, single-cell or spatial biology, genetics and genomics, translational or systems biology, imaging or digital pathology, clinical development and biomarker science, or real-world data and evidence
- Permanent work authorization in the United States
- Significant experience in biotechnology or pharmaceutical R&D is preferred
- Demonstrated impact across drug discovery, translational research, clinical development, precision medicine, or biomarker strategy is preferred
- Experience applying or adopting AI-enabled scientific workflows in real R&D settings is preferred
- Experience leading multidisciplinary teams or major cross-functional workstreams is preferred
- Deep expertise in one or more therapeutic areas and a track record of translating computational evidence into program or portfolio decisions is preferred
Benefits
Comp & perks- 401(k) plan with Pfizer Matching Contributions
- Additional Pfizer Retirement Savings Contribution
- Paid vacation
- Holiday and personal days
- Paid caregiver/parental and medical leave
- Medical, prescription drug, dental and vision coverage
- Eligibility to participate in Pfizer’s Global Performance Plan with a bonus target of 25.0% of base salary
- Eligibility to participate in Pfizer’s share based long term incentive program
- Relocation assistance may be available based on business needs and/or eligibility