Senior Translational Biologist & AI-Driven Insights

Pfizer Belgium; Bothell (WA); On-site; USD 140,000 - 210,000; Full time

Job summary

Pfizer is seeking a Senior Translational and Computational Biologist to translate complex biological and clinical data into actionable insights across R&D. You will lead defined analyses and partner with AI scientists, translational researchers, and clinical teams to drive drug discovery decisions.

You will contribute to analyses spanning target identification, biomarker discovery, patient stratification, and translational research while developing domain fluency in disease biology and

Qualifications

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

Responsibilities

• Independently conduct defined analyses across biological, molecular, genetic, clinical, and translational datasets.
• Interpret results in biological and clinical context and communicate findings to stakeholders.
• Develop hypotheses and translate biological questions into executable computational workflows.
• Collaborate with scientists to understand analytical needs and study populations.
• Build expertise in disease biology, drug discovery, and development.

Skills

Computational biology

Data analysis

Biology

Cross-functional collaboration

Education

PhD in Computational Biology or related field

Master's degree + 2+ years experience

Job description

Pfizer is seeking a Senior Translational and Computational Biologist to translate complex biological and clinical data into actionable insights across R&D. You will lead defined analyses and partner with AI scientists, translational researchers, and clinical teams to drive drug discovery decisions.

You will contribute to analyses spanning target identification, biomarker discovery, patient stratification, and translational research while developing domain fluency in disease biology and