Senior Translational and Computational Biologist

Pfizer

. Independently execute defined analyses across biological, molecular, genetic, clinical, and translational datasets .

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, with a strong focus on applying statistical analysis and machine learning to biological data. Proficient in delivering clear, evidence-based insights and collaborating effectively with multidisciplinary teams in drug discovery and clinical development.

Highest-signal resume keywords

PhD In Computational BiologyExperience In Biological Data AnalysisProficiency In R And/or PythonStatistical AnalysisExperience In Multi-Omics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Computational ApproachesData VisualizationReproducible Research PracticesMachine Learning FundamentalsBiological Data AnalysisStatistical AnalysisAnalytical WorkstreamsScientific AnalysesHypothesis GenerationEvidence-Based Insights

Soft Skills

Intellectual CuriosityAnalytical RigorAttention To DetailGrowth MindsetAbility To Incorporate Feedback

Tools & Technologies

RPythonAI-Enabled Scientific WorkflowsComputational ToolsData Analysis Software

Industry Keywords

BiotechnologyPharmaceuticalsHealthcareBiomedical ResearchDrug DiscoveryTranslational ResearchClinical DevelopmentReal-World DataSingle-Cell BiologySpatial Biology

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Independently 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
Partner with scientists to understand biological questions and analytical needs
Help define study populations, cohorts, labels, biological annotations, and evaluation criteria
Translate biological questions into executable computational workflows
Build expertise in disease biology, clinical development, and drug discovery processes
Develop familiarity with customer and stakeholder needs
Contribute to analyses involving multi-omics, single-cell biology, spatial biology, genetics and genomics, imaging, perturbational biology, clinical trial datasets, and real-world data and evidence
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 with discovery, translational, clinical development, and other R&D teams to connect high-value problems with AI and analytical capabilities
Help translate new AI-enabled approaches into scientific practice

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: Multi-omics, Single-cell biology, Spatial biology, Genetics and genomics, Imaging, Clinical data, or Real-world data
Strong intellectual curiosity
Analytical rigor
Attention to detail
A growth mindset
Willingness to learn new biological domains
Ability to incorporate feedback
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
U.S. work visa sponsorship is not available for this role now or in the future
Permanent work authorization in the United States is required

Benefits

Comp & perks

Pfizer Global Performance Plan with a bonus target of 15.0% 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
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