Senior Translational and Computational Biologist

As a Senior Translational and Computational Biologist at Pfizer, you will apply computational and biological expertise to help answer high-value scientific questions using diverse biological, molecular, and clinical datasets.

You will work closely with discovery, translational, clinical development, and other R&D teams to identify high-value problems, connect them with the right AI and analytical capabilities, interpret results in biological and clinical context, and help translate new approaches into scientific practice.

Key Responsibilities:

• Conduct high-impact biological analyses independently and as part of a team
• Translate scientific questions into analytical approaches and actionable insights
• Develop domain expertise in disease biology, drug discovery, and development
• Work across diverse scientific data types, including multi-omics, single-cell biology, spatial biology, genetics and genomics, imaging data, perturbational biology, clinical trial datasets, and real-world data and evidence
• Build scientific and analytical judgment, interpreting results in biological and clinical context, assessing uncertainty, limitations, and alternative explanations
• Grow as a scientific partner, communicating findings clearly to scientific stakeholders, participating in multidisciplinary project discussions, and influencing decisions through evidence

Requirements:

• PhD preferred in Computational Biology, Bioinformatics, Genetics, Genomics, Systems Biology, Biostatistics, Biomedical Engineering, or a related scientific discipline
• Master's degree with 2+ years of relevant experience
• Demonstrated success applying computational approaches to biological or biomedical problems
• Strong proficiency in R and/or Python, statistical analysis, data visualization, reproducible research practices, biological data analysis, and machine learning fundamentals
• Experience in at least one major scientific data domain

Preferred Qualifications:

• Experience in biotechnology, pharmaceuticals, healthcare, or biomedical research
• Experience supporting drug discovery or development activities
• Familiarity with AI-enabled scientific workflows
• Experience working on multidisciplinary scientific teams
• Exposure to translational, clinical, or therapeutic-area research