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