Principal Scientist, Computational Biology Oncology

Bayer's Pharmaceuticals division seeks a Principal Scientist in Computational Biology to evaluate therapeutic hypotheses through integration and quantitative analyses of internal and external multi-omics data sources in oncology drug discovery.

Key Responsibilities

• Contextualize molecular evidence supporting therapeutic hypotheses using multi-omics data (DNA, RNA, CRISPR, ChIP-seq, methylation, proteomics)
• Design and interpret complex quantitative analyses for precision drug development
• Contribute to product team scientific strategy and critical path objectives
• Deliver biological insights to inform stage-gate decisions and portfolio prioritization
• Develop and implement best practices for quantitative analyses and data visualization
• Build cross-functional relationships across pharma R&D

Required Qualifications

• PhD in Life Sciences (Bioinformatics, Computational Biology, Biology, Genetics, or related field) with strong computational focus
• Demonstrated experience analyzing DNA-seq, RNA-seq, proteomics, or imaging datasets
• Proficiency in R or Python
• Peer-reviewed publications in computational biology
• Expert-level quantitative analysis capabilities
• Strategic guidance experience in pharma or data science

Preferred Qualifications

• 5+ years industry experience in drug development or biotech roles applying multi-omics analyses

Application Deadline: May 12, 2026