Senior Translational Biologist — Hybrid AI Drug Discovery

Pfizer Inc; Bothell (WA); Hybrid; USD 106,000 - 177,000; Full time

Job summary

Pfizer is seeking a Senior Translational and Computational Biologist to apply computational and biological expertise to high-value questions across diverse datasets. You will work with scientists and stakeholders to translate biological questions into analytical workflows and deliver data-driven insights that inform drug discovery and development decisions.

You will lead defined analyses, build domain expertise in disease biology and translational science, and contribute to cross-functional

Qualifications

• PhD preferred in Computational Biology, Bioinformatics, Genetics, Genomics, Systems Biology, Biostatistics, Biomedical Engineering, or related field.
• Master's with 2+ years of experience required or preferred.
• Proven success applying computational approaches to biological problems and a strong desire to continue learning.

Responsibilities

• Conduct high-impact biological analyses across biological, molecular, genetic, clinical, and translational datasets.
• Investigate scientific questions and summarize findings with clarity and rigor.
• Generate hypotheses and identify meaningful biological patterns.
• Deliver evidence-based insights to support scientific decision-making.

Skills

R & Python

Statistical analysis

Data visualization

Reproducible research

Biological data analysis

Machine learning fundamentals

Scientific collaboration

Education

PhD in computational biology or related

Master's degree with 2+ years experience

Tools

R

Python

Job description

Pfizer is seeking a Senior Translational and Computational Biologist to apply computational and biological expertise to high-value questions across diverse datasets. You will work with scientists and stakeholders to translate biological questions into analytical workflows and deliver data-driven insights that inform drug discovery and development decisions.

You will lead defined analyses, build domain expertise in disease biology and translational science, and contribute to cross-functional