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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading cross-functional scientific programs, translating complex biological and clinical data into actionable insights, and applying computational methods to drive evidence-based decisions in biomedical research. Proficient in multi-omics, AI strategies, and statistical reasoning to influence scientific and development outcomes.
Highest-signal resume keywords
PhD, MD, PharmD, Or Equivalent Advanced DegreeExperience Leading Cross-Functional Scientific ProgramsWorking Proficiency In R And/or PythonMachine Learning And AI Concepts Relevant To Biomedical ResearchBiological And Clinical Data Analysis And Visualization
ATS Keywords
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Hard Skills
Computational BiologyTranslational BiologyBioinformaticsGeneticsGenomicsBiostatisticsStatistical ReasoningExperimental DesignQuantitative InterpretationReproducible Research
Soft Skills
Influencing Senior StakeholdersClear Scientific ReasoningMentoring And Guiding ScientistsCommunication Of Complex EvidenceCollaboration Across R&D Functions
Tools & Technologies
AI-Enabled Scientific WorkflowsComputational MethodsData Visualization ToolsStatistical SoftwareMulti-Omics Platforms
Industry Keywords
Translational MedicineClinical DevelopmentPrecision MedicineBiomarker ScienceReal-World Data And Evidence
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 decisions
- 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 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, and multimodal data sources
- Establish standards for rigor, reproducibility, validation, and evidence
- Assess uncertainty, confounding, bias, alternative explanations, and failure modes
- Communicate complex evidence to scientific, clinical, technical, and senior leadership audiences
- Mentor and guide scientists and cross-functional colleagues and 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 formal authority
- Working or strong proficiency in R and/or Python, or equivalent computational tools
- 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 including 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
- Experience integrating multiple data types and working with AI-enabled scientific workflows is strongly valued
- Pfizer requires permanent work authorization in the United States
Benefits
Comp & perks- Pfizer Global Performance Plan with a bonus target of 25.0% of base salary
- Share based long term incentive program
- 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
- Relocation assistance may be available based on business needs and/or eligibility
- Senior-level scientific ownership and autonomy
- Access to rich biomedical and clinical data and advanced AI capabilities
- Direct collaboration with therapeutic-area, clinical, and technical leaders
- Opportunity to shape how AI-enabled science is adopted across R&D
