Senior Associate Scientist, Cellular Genomics — Computational

Sourceabled; Cambridge (MA); On-site; USD 69,000 - 114,000; Full time

Job summary

Pfizer is seeking a Senior Associate Scientist in Cellular Genomics for its Cambridge, MA site. The role focuses primarily on computational biology and data interpretation, with a smaller wet-lab component guided by senior scientists.

You will process diverse genomics data and contribute to reproducible analyses while collaborating across projects. The position requires strong scripting, data quality practices, and a passion for bridging computational analysis with experimental genomics in a

Qualifications

• Bachelor’s degree in Bioinformatics, Computational Biology, Genomics, Systems Biology, Computer Science & Molecular Biology, Data Science with biological applications, or related field with 3+ years of experience.
• Master’s degree in Bioinformatics, Computational Biology, Genomics, Systems Biology, Data Science with biological applications, Biotechnology, Biological Sciences, or related field with 0+ years of experience.

Responsibilities

• Perform upstream data processing, quality assessment, and troubleshooting of sequencing runs and genomic datasets.
• Apply computational biology workflows to support quality assessment, biological interpretation, and reporting.
• Generate and document analytical outputs, QC summaries, analyses, figures, and technical summaries.
• Support teams as a computational genomics resource and advise on experimental design and data management.
• Evaluate and document new bioinformatic workflows, assays, platforms, and analytical approaches.

Skills

Python

R

Command-line tools

Notebooks

Version control

Genomics data processing

Biology interpretation

Education

Bachelor's degree in relevant field

Master's degree in relevant field

Tools

Claude Science

ToolUniverse

BIOMNI

Job description

Pfizer is seeking a Senior Associate Scientist in Cellular Genomics for its Cambridge, MA site. The role focuses primarily on computational biology and data interpretation, with a smaller wet-lab component guided by senior scientists.

You will process diverse genomics data and contribute to reproducible analyses while collaborating across projects. The position requires strong scripting, data quality practices, and a passion for bridging computational analysis with experimental genomics in a