Senior Computational Biologist, Oncology

Pathos seeks a computational biologist to design genomics pipelines, generate biomarker hypotheses, and translate molecular insights into actionable development recommendations. Role spans discovery through Phase 1/2 trials, directly influencing indication selection and patient stratification strategies using AI-native platforms and multimodal data analysis.

Key Responsibilities

• Design and execute cancer genomics and transcriptomics analysis pipelines
• Generate biomarker hypotheses from clinical trial data
• Perform response modeling and survival analysis
• Conduct multi-omic hypothesis validation across small molecules, antibodies, bispecifics, and ADCs
• Influence high-stakes program decisions
• Cross-functional collaboration with clinicians and scientists

Requirements

• PhD in computational biology, cancer genomics, bioinformatics, or related field
• 5+ years in pharma/biotech supporting oncology drug development
• Cancer genomics and transcriptomics expertise with RNA-seq and DNA analysis experience
• Biomarker analysis from clinical trials including response modeling and survival analysis
• Proficiency in R and/or Python with emphasis on reproducibility
• Familiarity with oncology datasets (Tempus, TCGA, AACR GENIE)
• Drug development perspective beyond data science
• Clear communication of complex findings to diverse audiences