Senior Scientist, Cellular Genomics

About this role

ROLE SUMMARY   We are seeking a highly productive and motivated senior scientist to join the Cellular Genomics group within Pfizer’s Inflammation and Immunology Research Unit. This role is approximately 80% computational biology and 20% wet-lab genomics, with primary accountability for analyzing, integrating, and interpreting high-dimensional single-cell, spatial, and multi-omics datasets that support selected Inflammation and Immunology drug development programs. The individual will apply rigorous computational workflows, statistics, reproducible analysis in R and Python, standard bioinformatics pipelines, and approved agentic computational biology tools to generate decision-relevant biological insight from complex genomic datasets. The role will also include targeted wet-lab genomic contributions, including study design input, sample-processing strategy, assay-quality review, and limited hands-on support for single-cell, sequencing, or spatial workflows when needed to ensure data quality and interpretability. The candidate should be able to connect disease biology, perturbational responses, pharmacology, and translational context into mechanistic interpretations of drug-candidate effects in collaboration with project scientists, wet-lab genomics experts, translational teams, and computational biology partners. Independent scientific judgment, strong quantitative reasoning, reproducible computational practice, and practical problem solving in systems biology are required.

ROLE RESPONSIBILITIES   

• Lead computational analysis of single-cell, spatial, and multi-omics datasets, including quality assessment, preprocessing, statistical analysis, visualization, biological annotation, and reproducible interpretation. 

• Translate high-dimensional genomic data into mechanistic hypotheses, biomarker concepts, pharmacology interpretation, and decision-relevant insights for cross-functional drug development teams. 

• Apply and adapt established bioinformatics pipelines, statistical workflows, R/Python-based analyses, approved agentic computational tools, and data-management practices in collaboration with internal and external partners. 

• Integrate cellular genomics data with disease biology, perturbation biology, pharmacology, translational datasets, and project-specific hypotheses to support mechanism-informed portfolio decisions. 

• Provide wet-lab genomics input for study design, sample-collection strategy, assay selection, data-quality requirements, and interpretation of single-cell, sequencing, or spatial profiling workflows. 

• Contribute limited hands-on wet-lab execution, troubleshooting, or workflow support when needed to ensure genomic data quality, while maintaining primary focus on computational analysis and biological interpretation. 

   BASIC QUALIFICATIONS    • BS with 6+ years, MS with 4+ years, or PhD with 0-3+ years of relevant experience in computational biology, genomics, systems biology, immunology, bioinformatics, or a related discipline 

• Strong practical experience analyzing single-cell, spatial, transcriptomic, epigenomic, or other high-dimensional genomic datasets using reproducible computational workflows 

• Proficiency in R, Python, statistics, data visualization, quality control, standard bioinformatics pipelines, and interpretation of multi-omics data in biological or pharmacological context 

• Hands-on experience of wet-lab genomic assay workflows, including sample processing, sequencing, single-cell, or spatial profiling methods sufficient to evaluate data quality and guide study design 

  PREFERRED QUALIFICATIONS   • 2+ years of computational biology or bioinformatics experience analyzing single-cell, spatial, sequencing, or multi-omics datasets in inflammation, immunology, neuroinflammation, or autoimmunity indications 

• Experience with version-controlled workflows, command-line tools, scalable data processing, statistical modeling, visualization, and reproducible reporting 

• Experience using computational, statistical, machine learning, and approved agentic tools for high-dimensional data analysis, quality review, visualization, interpretation support, or hypothesis generation 

• Experience integrating genomic datasets with perturbational biology, pharmacology, translational datasets, or disease-model data to support mechanism-informed decision making 

• Hands-on or closely partnered experience with wet-lab genomic workflows, including single-cell, sequencing, spatial biology, tissue processing, or assay-development protocols 

• Experience with biomarker identification, translational medicine, or mechanism-informed drug-development decision support 

PHYSICAL/MENTAL REQUIREMENTS   • Ability to access and use a variety of computer software developed both in-house and off-the-shelf. 

• Occasional crouching, stooping, with frequent bending and twisting of upper body and neck. 

• Light to moderate lifting and carrying (or otherwise moving) objects including boxes and laptop computer with a maximum lift of 15-20 lbs. 

Additional Information: • Relocation support available • Work Location Assignment: On Premise • Last Day to Apply: September 7, 2026


The annual base salary for this position ranges from $93,600.00 to $156,000.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 12.5% 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 | (uscan

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