Senior Translational & Computational Biologist

Pfizer; Cambridge (MA); Hybrid; USD 106,000 - 177,000; Full time

Job summary

Pfizer is seeking a Senior Translational and Computational Biologist to join a cross-disciplinary team at the frontier of biology, AI, and drug discovery. You will translate complex biological and clinical data into insights that guide research decisions across discovery and development.

You will lead defined analyses, collaborate with AI scientists and translational researchers, and contribute to objectives spanning target validation, biomarker discovery, and translational studies, ultimately

Qualifications

• PhD preferred in computational biology or related fields.
• Master’s degree with 2+ years of relevant experience.
• Proven ability to apply computational methods to biological problems.
• Desire to continue learning and grow as a scientific partner.

Responsibilities

• Own scoped analyses and defined biological investigations across datasets.
• Collaborate with scientists to understand analytical needs and translate questions into workflows.
• Apply computational methods to generate high-quality scientific insights.
• Develop domain expertise in disease biology, drug discovery, and development.

Skills

Biological data analysis

Machine learning fundamentals

R and/or Python

Statistical analysis

Data visualization

Collaboration and communication

Education

PhD preferred in Computational Biology, Bioinformatics, Genetics, Genomics, Systems Biology, Biostatistics, Biomedical Engineering, or related

Master’s degree with 2+ years of relevant experience

Tools

R

Python

Job description

Pfizer is seeking a Senior Translational and Computational Biologist to join a cross-disciplinary team at the frontier of biology, AI, and drug discovery. You will translate complex biological and clinical data into insights that guide research decisions across discovery and development.

You will lead defined analyses, collaborate with AI scientists and translational researchers, and contribute to objectives spanning target validation, biomarker discovery, and translational studies, ultimately