Senior Scientist, Cellular Genomics
Pfizer
August 24, 2026
On-site
Cambridge, MA
Clinical Research and Development
Role Responsibilities:
- Lead computational analysis of single-cell, spatial, and multi-omics datasets (QC, preprocessing, statistics, visualization, annotation, reproducible interpretation).
- Translate high-dimensional genomic data into mechanistic hypotheses, biomarker concepts, pharmacology interpretation, and decision-relevant insights.
- Apply/adapt bioinformatics pipelines, statistical workflows, R/Python analyses, approved agentic computational tools, and data-management practices.
- Integrate cellular genomics with disease/perturbation biology, pharmacology, translational datasets, and project hypotheses to support mechanism-informed portfolio decisions.
- Provide wet-lab genomics input for study design, sample strategy, assay selection, data-quality requirements, and interpretation.
- Contribute limited hands-on wet-lab support to troubleshoot/workflow support as needed, while maintaining primary focus on computation and interpretation.
Qualifications (Required):
- BS (6+ yrs), MS (4+ yrs), or PhD (0–3+ yrs) in computational biology/genomics/systems biology/immunology/bioinformatics or related.
- Strong experience analyzing single-cell/spatial/transcriptomic/epigenomic or other high-dimensional datasets with reproducible workflows.
- Proficiency in R and Python, statistics, visualization, QC, standard bioinformatics pipelines, and multi-omics interpretation.
- Hands-on wet-lab genomic assay experience sufficient to evaluate data quality and guide study design.
Preferred:
- 2+ yrs in inflammation/immunology/neuroinflammation/autoimmunity indications.
- Version-controlled workflows, command-line tools, scalable processing, statistical modeling, reproducible reporting.
- Experience with ML/agentic tools for high-dimensional analysis/hypothesis generation.
- Integration with perturbational/pharmacology/translational or disease-model data; biomarker/mechanism-informed decision support.
Benefits / Application:
- Relocation support available; Work location: On-premise.
- Last day to apply: September 7, 2026.
- Base salary range: $93,600–$156,000; bonus target 12.5% (Global Performance Plan); 401(k) with matching and additional retirement contribution; paid vacation/holidays/personal days; caregiver/parental and medical leave; medical/dental/vision.
- Lead computational analysis of single-cell, spatial, and multi-omics datasets (QC, preprocessing, statistics, visualization, annotation, reproducible interpretation).
- Translate high-dimensional genomic data into mechanistic hypotheses, biomarker concepts, pharmacology interpretation, and decision-relevant insights.
- Apply/adapt bioinformatics pipelines, statistical workflows, R/Python analyses, approved agentic computational tools, and data-management practices.
- Integrate cellular genomics with disease/perturbation biology, pharmacology, translational datasets, and project hypotheses to support mechanism-informed portfolio decisions.
- Provide wet-lab genomics input for study design, sample strategy, assay selection, data-quality requirements, and interpretation.
- Contribute limited hands-on wet-lab support to troubleshoot/workflow support as needed, while maintaining primary focus on computation and interpretation.
Qualifications (Required):
- BS (6+ yrs), MS (4+ yrs), or PhD (0–3+ yrs) in computational biology/genomics/systems biology/immunology/bioinformatics or related.
- Strong experience analyzing single-cell/spatial/transcriptomic/epigenomic or other high-dimensional datasets with reproducible workflows.
- Proficiency in R and Python, statistics, visualization, QC, standard bioinformatics pipelines, and multi-omics interpretation.
- Hands-on wet-lab genomic assay experience sufficient to evaluate data quality and guide study design.
Preferred:
- 2+ yrs in inflammation/immunology/neuroinflammation/autoimmunity indications.
- Version-controlled workflows, command-line tools, scalable processing, statistical modeling, reproducible reporting.
- Experience with ML/agentic tools for high-dimensional analysis/hypothesis generation.
- Integration with perturbational/pharmacology/translational or disease-model data; biomarker/mechanism-informed decision support.
Benefits / Application:
- Relocation support available; Work location: On-premise.
- Last day to apply: September 7, 2026.
- Base salary range: $93,600–$156,000; bonus target 12.5% (Global Performance Plan); 401(k) with matching and additional retirement contribution; paid vacation/holidays/personal days; caregiver/parental and medical leave; medical/dental/vision.