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Pfizer

Executive Director, Translational & Computational Biology

Pfizer

. Lead a portfolio of high-value biological, translational, and clinical questions across R&D .

Posted 11/10/2026full-timeUnited StatesLead💰 $230,900 - $384,800 per yearWebsite

Core Competencies

Role fit
Core Competencies

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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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Applicant Tracking System 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 & technologies
Python

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