Senior Translational and Computational Biologist

Pfizer

. Transform complex biological and clinical data into insights supporting scientific decisions across research and development .

Posted 11/6/2026full-timeUnited StatesSenior💰 $106,000 - $176,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Computational Biology and Bioinformatics, applying statistical and computational methods to analyze complex biological data and generate actionable insights. Proficient in R and Python, with a strong foundation in data visualization and reproducible research practices.

Highest-signal resume keywords

PhD In Computational BiologyStatistical AnalysisBiological Data AnalysisR And/or Python ProficiencyExperience In Drug Discovery

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Applicant Tracking System Keywords

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Hard Skills

Computational MethodsData VisualizationMachine Learning FundamentalsReproducible Research PracticesBiological InvestigationsHypothesis GenerationAnalytical WorkstreamsMulti-Omics AnalysisSingle-Cell BiologyClinical Data Analysis

Soft Skills

Intellectual CuriosityAnalytical RigorAttention To DetailGrowth MindsetEffective Communication

Industry Keywords

BiotechnologyPharmaceuticalsHealthcareBiomedical ResearchTranslational ResearchClinical DevelopmentTherapeutic-Area ResearchAI-Enabled WorkflowsScientific Decision-MakingStakeholder Engagement

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Transform complex biological and clinical data into insights supporting scientific decisions across research and development
Independently lead defined analyses, biological investigations, and use-case components with appropriate guidance
Partner with scientists to understand biological questions and analytical needs
Apply computational methods to generate high-quality scientific insights
Build expertise in disease biology, drug discovery, and development
Learn how computational evidence supports scientific and portfolio decisions
Develop increasing independence in scientific problem-solving and stakeholder engagement
Execute defined analyses across biological, molecular, genetic, clinical, and translational datasets
Investigate scientific questions and summarize findings with clarity and rigor
Generate hypotheses and identify meaningful biological patterns
Deliver evidence-based insights supporting scientific decision-making
Help define study populations, cohorts, labels, biological annotations, and evaluation criteria
Translate biological questions into executable computational workflows
Interpret results in biological and clinical context
Assess uncertainty, limitations, and alternative explanations
Apply statistical and computational best practices
Strengthen reproducible research practices and documentation standards
Communicate findings clearly to scientific stakeholders
Participate in multidisciplinary project discussions
Work closely with discovery, translational, clinical development, and other R&D teams to connect high-value problems with AI and analytical capabilities
Help translate emerging AI-enabled approaches into scientific practice
Serve as an early adopter of AI-enabled ways of working and a trusted scientific partner to therapeutic-area teams

Requirements

What you’ll need

PhD preferred in Computational Biology, Bioinformatics, Genetics, Genomics, Systems Biology, Biostatistics, Biomedical Engineering, or a related scientific discipline
Master's degree with 2+ years of relevant experience
Demonstrated success applying computational approaches to biological or biomedical problems
Experience independently conducting scientific or biological analyses
Experience managing defined projects or analytical workstreams
Experience applying computational methods to real-world scientific questions
Experience delivering clear, data-driven conclusions and recommendations
Experience working effectively with limited oversight while seeking guidance when needed
Working or strong proficiency in R and/or Python (or equivalent computational tools)
Statistical analysis
Data visualization
Reproducible research practices
Biological data analysis
Machine learning fundamentals
Demonstrated experience in at least one major scientific data domain such as multi-omics, single-cell biology, spatial biology, genetics and genomics, imaging, clinical data, or real-world data
Experience integrating multiple data sources is a plus, but not required
Strong intellectual curiosity, analytical rigor, attention to detail, growth mindset, willingness to learn new biological domains, ability to incorporate feedback, and enthusiasm for partnering with scientists and stakeholders
Experience in biotechnology, pharmaceuticals, healthcare, or biomedical research preferred
Experience supporting drug discovery or development activities preferred
Familiarity with AI-enabled scientific workflows preferred
Experience working on multidisciplinary scientific teams preferred
Exposure to translational, clinical, or therapeutic-area research preferred
Candidates must be authorized to be employed in the U.S. by any employer
Permanent work authorization in the United States required
U.S. work visa sponsorship is not available for this role now or in the future

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
Global Performance Plan with a bonus target of 15.0% 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
Meaningful scientific ownership from day one
Opportunities to build deep biological expertise
Exposure to cutting-edge AI, data science, and biomedical research
World-class mentors and collaborators
Clear opportunities for growth and development