Computational Biologist Jobs

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About The Position

At Pfizer, the Senior Translational and Computational Biologist applies computational and biological expertise to answer high-value scientific questions using diverse biological, molecular, and clinical datasets. The role works at the intersection of the AI Core and Pfizer’s scientific and therapeutic-area organizations, partnering with discovery, translational, clinical development, and other R&D teams to identify important problems, apply suitable AI and analytical capabilities, interpret results in biological and clinical context, and help bring new approaches into scientific practice. The position independently leads scoped analyses and defined biological investigations with appropriate guidance. It focuses on delivering high-quality analyses, developing domain expertise and scientific judgment, and growing in independence—not leading large scientific programs. The successful candidate will build understanding of disease biology, drug discovery, clinical development, and stakeholder needs while learning how computational evidence informs scientific and portfolio decisions. Potential analyses span multi-omics, single-cell and spatial biology, genetics and genomics, imaging, perturbational biology, clinical trial datasets, and real-world data and evidence. The role emphasizes rigorous interpretation, assessment of uncertainty and limitations, reproducible research, clear communication, and collaborative scientific partnership. The position is hybrid. Colleagues must live within commuting distance of a Pfizer location and work on-site an average of 2.5 days per week. The annual base salary range is $106,000 to $176,600, with eligibility for a performance bonus and a share-based long-term incentive program. Relocation assistance may be available based on business needs and eligibility. Candidates must have permanent U.S. work authorization; visa sponsorship is not available.

Requirements

  • PhD preferred in Computational Biology, Bioinformatics, Genetics, Genomics, Systems Biology, Biostatistics, Biomedical Engineering, or a related scientific discipline; alternatively, a Master's degree with 2 or more years of relevant experience.
  • Demonstrated success applying computational approaches to biological or biomedical problems.
  • Experience independently conducting scientific or biological analyses and managing defined projects or analytical workstreams.
  • Experience applying computational methods to scientific questions and delivering clear, data-driven conclusions and recommendations.
  • Ability to work effectively with limited oversight and seek guidance when needed.
  • Working or strong proficiency in R and/or Python, or equivalent computational tools.
  • Proficiency in statistical analysis, data visualization, reproducible research practices, and 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.
  • Strong intellectual curiosity, analytical rigor, attention to detail, and a growth mindset.
  • Willingness to learn new biological domains, incorporate feedback, and partner with scientists and stakeholders.
  • Permanent work authorization in the United States; U.S. work visa sponsorship is unavailable.
  • Must live within commuting distance of a Pfizer location and work on-site an average of 2.5 days per week.

Nice To Haves

  • Experience integrating multiple data sources.
  • Experience in biotechnology, pharmaceuticals, healthcare, or biomedical research.
  • Experience supporting drug discovery or development activities.
  • Familiarity with AI-enabled scientific workflows.
  • Experience working on multidisciplinary scientific teams.
  • Exposure to translational, clinical, or therapeutic-area research.

Responsibilities

  • Independently conduct defined analyses across biological, molecular, genetic, clinical, and translational datasets.
  • Investigate scientific questions, generate hypotheses, identify meaningful biological patterns, and summarize findings clearly and rigorously.
  • Deliver evidence-based insights that support scientific decision-making.
  • Partner with computational biologists and scientific stakeholders to understand research challenges and analytical needs.
  • Help define study populations, cohorts, labels, biological annotations, and evaluation criteria.
  • Translate biological questions into executable computational workflows and learn how analytical choices affect scientific outcomes.
  • Apply computational methods and statistical and computational best practices to generate high-quality scientific insights.
  • Interpret results in biological and clinical context, assessing uncertainty, limitations, and alternative explanations.
  • Build understanding of disease biology, clinical development, drug discovery, therapeutic-area decision-making, and stakeholder needs.
  • Strengthen reproducible research practices and documentation standards.
  • Communicate findings to scientific stakeholders and participate in multidisciplinary project discussions.
  • Develop increasing independence in scientific problem-solving, stakeholder engagement, and influencing decisions through evidence.
  • Contribute to analyses involving data types such as multi-omics, single-cell biology, spatial biology, genetics and genomics, imaging, perturbational biology, clinical trial datasets, and real-world data and evidence.

Benefits

  • 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution.
  • Paid vacation, holidays, 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 15% of base salary.
  • Eligibility to participate in a share-based long-term incentive program.
  • Relocation assistance may be available based on business needs and eligibility.
  • Comprehensive benefits and programs intended to support colleagues’ health and life events.

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Based on current job postings on Teal, the average Computational Biologist salary in the US is approximately $140,000 per year, with a typical range of $72,000 to $228,000.
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