Senior Scientist, Cellular Genomics

Pfizer; Cambridge (MA); On-site; USD 94,000 - 156,000; Full time

Job summary

Pfizer is seeking a highly productive senior scientist to join the Cellular Genomics group in the Inflammation and Immunology Research Unit. This role is ~80% computational biology and 20% wet-lab genomics, focusing on high-dimensional single-cell, spatial, and multi-omics data to support drug development programs.

The candidate will apply rigorous computational workflows, reproducible analyses in R and Python, and standard pipelines while providing limited wet-lab genomic contributions to

Qualifications

• BS with 9+ years, MS with 7+ years, or PhD with 0+ years of relevant experience in computational biology or related field.
• Experience analyzing high-dimensional genomic datasets with reproducible workflows.
• Proficiency in R and Python for statistical analysis and visualization.

Responsibilities

• Lead computational analysis of single-cell, spatial, and multi-omics datasets.
• Translate genomic data into mechanistic hypotheses and pharmacology interpretations.
• Apply established pipelines and tools for data integration and reporting.
• Integrate cellular genomics data with disease biology and translational datasets.
• Provide input for study design and data-quality interpretation; hand-on wet-lab support if needed.

Skills

Single-cell analysis

Spatial & multi-omics

R

Python

Biomarker concepts

Education

BS in relevant field

MS in relevant field

PhD in relevant field

Tools

Bioinformatics pipelines

Version-control workflows

Job description

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 9+ years, MS with 7+ years, or PhD with 0+ 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.
• 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 Act

Pfizer 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 Eligibility

Pfizer 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 www.pfizer.com/careers 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 [e-mail]. 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

Pfizer careers are like no other. In our culture of individual ownership, we believe in our ability to improve future healthcare, and potential to transform millions of lives. We’re looking for new talent to join our global community, to unearth new innovative therapies that make the world a healthier place.