Senior Computational Geneticist

ROLE SUMMARYHuman genetics has established itself as a cornerstone of modern drug discovery, yet we are only beginning to unlock the full potential of the rich biomedical data now being generated.We are seeking a geneticist with a passion for applying cutting-edge approaches, including genetic epidemiology, quantitative genetics, computational biology, functional omics, machine learning and artificial intelligence, and other multi-omics data resources, to accelerate the identification of causal mechanisms, therapeutic indications, biomarkers, and patient stratification strategies.The Integrative Biology team within the Internal Medicine Research Unit works closely with disease area biologists to address unmet medical needs in metabolic diseases, including obesity and cardiovascular disease, with a particular focus on atherosclerotic cardiovascular disease. We do this by developing and applying advanced methods to analyze human genetics and other large-scale molecular datasets.A critical component of this role will be working in close partnership with our AI for Internal Medicine (AIM2) discovery center. You will act as a key scientific collaborator, helping to guide the development of AI/ML tools by providing domain-specific genetic expertise, and translating AI-generated insights into actionable therapeutic hypotheses for disease area project teams.The ideal candidate for this role will also work with our external partners and collaborators to help manage external collaborations, ensure the timely delivery of high-quality genetics and genomics data, and to incorporate results into target identification and validation. The applied human genetics scientist position offers an opportunity to execute science-based drug discovery within one of the world’s leading developers of human therapeutics, at Pfizer’s Kendall Square research facility in Cambridge Massachusetts. ROLE RESPONSIBILITIESProvide quantitative genetics expertise and conduct analyses to derive impactful results through interactions with biologists within the Internal Medicine Research Unit.Provide expertise and quantitative skills on the application of genetics and functional genomics to inform project teams in: - Identification of novel therapeutic targets - Review and validation of therapeutic hypotheses - Mechanistic understanding of disease pathogenesis and causal pathways - Innovative approaches to identifying mechanism related biomarkers via integrating genetics with clinical and ‘omic datasets. - Identification of potential disease indications. - Matching novel therapies to patients with relevant disease sub-types. Ensure high-quality genetic and ‘omics data is incorporated into exploratory research by interacting with internal partners in statistics, bioinformatics, computational biology, clinicians, and project leaders to drive genetic data analysis, data integration, and genetic methodology. Partner closely with AIM2 scientists and our partners in machine learning and AI to identify opportunities where AI-enabled approaches can enhance genetics-driven target discovery, causal inference, biological interpretation, biomarker identification, and patient stratification.Work in collaboration with research biologists and project teams to identify the best opportunities to translate genetic and related data to inform and prioritize assets in the portfolio; and with clinical teams to inform optimum patient selection, stratification and trial design. Critically evaluate and incorporate AI-assisted approaches into genetics research workflows, including literature synthesis, knowledge discovery, biological interpretation, hypothesis generation, and integration of large-scale human genetics and multi-omics datasets.Manage, develop and maintain internal and external collaborative projects to specified timelines and milestones Communicate study findings and analyses with internal partners, leadership, administration, and collaborators. Manage, support and promote relationships with the external community that can add value to target selection and validation at Pfizer Willingness to learn new skills and be “change agile” BASIC QUALIFICATIONSBackground in biological and/or quantitative sciences; PhD required and post-doctoral experience in genetics, statistical genetics, or genetic epidemiology with two (2) years relevant experience Sound statistical and quantitative skills, with knowledge of epidemiological principals and population-based research. Experience managing large projects, collaborations, or consortia Demonstrated experience using generative AI tools (e.g., Microsoft Copilot, ChatGPT, Claude, Gemini) to support scientific research, knowledge synthesis, data interpretation, or analytical workflows.Understanding of the capabilities, limitations, sources of bias, and appropriate application of large language models and other AI technologies in biomedical research.Ability to effectively incorporate AI-assisted approaches into scientific workflows while maintaining sound scientific judgment and critical evaluation of results.Experience analyzing genetic data sets andintegrating additional data types to further clinical and biological understanding Deep and abiding curiosity about biological and pathological processes and mechanisms. Proficiency in programming, scripting, querying or statistical analysis languages such as R, python, perl, SQL. Familiarity with genetics platformsAble to effectively interact and communicate with multidisciplinary scientists, researchers, and non-scientists- internally and externally; excellent communication, interpersonal, and presentation skills essential PREFERRED QUALIFICATIONSBackground in human biology/medicine, with some knowledge of disease pathophysiology for metabolic disease highly preferred. Track record of innovative and impactful research in genetics of complex traits, including peer-reviewed publications. Experience applying large language models and AI-enabled tools to accelerate scientific discovery, biological interpretation, literature review, knowledge extraction, or hypothesis generation.Demonstrated ability to identify opportunities where AI can enhance scientific productivity and decision-making while recognizing situations where human expertise, experimental validation, or additional evidence are required.Evidence of scientific leadership role with responsibility for research project delivery Experience in at least one other ‘omics technologies (e.g. metabolomics, lipidomics, transcriptomics, epigenetics)  Demonstrates ability to identify, propose and develop new analytical concepts Able to both lead and support teams, multi-task and prioritize amongst competing time-sensitive projects, as part of a multi-disciplinary matrix team; able to work effectively as part of a research team, while being innovative, entrepreneurial, and proactive PHYSICAL/MENTAL REQUIREMENTSAbility to perform complex statistical analysisAdditional Information:Relocation support availableWork Location Assignment: Hybrid (live within a commutable distance to a Pfizer site and requirement to work on-site on average 2.5 days/week)Last Day to Apply: August 18, 2026 The annual base salary for this position ranges from $106,000.00 to $176,600.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 15.0% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Candidates must be authorized to be employed in the U.S. by any employer.U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future. Sunshine ActPfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment EligibilityPfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email View email address on click.appcast.io. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers. Research and Development SummaryLocation: United States - Massachusetts - CambridgeType: Full time