Senior Translational & Computational Biologist

Pfizer; Pearl River (NY); Hybrid; USD 106,000 - 177,000; Full time

Benefits offered by this job

401(k) matching

Health benefits

Paid vacation and leave

Job summary

Pfizer is seeking a Senior Translational and Computational Biologist to convert complex biological and clinical data into insights guiding drug discovery and development. You will collaborate with AI scientists, translational researchers, clinicians, and therapeutic-area experts to define analyses, build domain expertise, and apply AI-enabled approaches across multi-omics, imaging, and clinical data.

You will lead defined analyses, interpret results, and contribute to scientific decisions across

Qualifications

• A PhD is preferred in Computational Biology, Bioinformatics, Genetics, Genomics, Systems Biology, Biostatistics, Biomedical Engineering, or a related field.
• A Master's degree with 2+ years of relevant experience is required or preferred.
• Demonstrated success applying computational approaches to biological problems and a willingness to learn.

Responsibilities

• Independently conduct scientific analyses across biological, molecular, genetic, clinical, and translational datasets.
• Translate biological questions into executable computational workflows.
• Build understanding of disease biology, drug discovery, and development processes.
• Communicate findings clearly to scientific stakeholders and participate in multidisciplinary discussions.
• Grow scientific credibility and stakeholder fluency to take on increasingly complex work.

Skills

R

Python

Statistics

Data visualization

Reproducible research

Biological data analysis

Machine learning basics

Education

PhD in Computational Biology (preferred)

Master's degree with 2+ years of experience

Job description

Pfizer is seeking a Senior Translational and Computational Biologist to convert complex biological and clinical data into insights guiding drug discovery and development. You will collaborate with AI scientists, translational researchers, clinicians, and therapeutic-area experts to define analyses, build domain expertise, and apply AI-enabled approaches across multi-omics, imaging, and clinical data.

You will lead defined analyses, interpret results, and contribute to scientific decisions across