Associate Director, Computational Biology – Early Discovery
Core
Lead a team of computational biologists to identify and advance oncology targets and therapeutics by integrating massive datasets (phenomics, transcriptomics, genomics, proteomics) to nominate novel targets and define precision oncology strategies.
Role type
Associate Director, Computational Biology (Early Discovery)
Builds
Novel target discovery pipelines, disease biology validation frameworks, and early patient population hypotheses for oncology and immunological diseases.
Domain
Biotech / Pharma / Oncology / Immunology
Deliverable
production ML models | product features
Required skills
Computational biology, oncology domain expertise, patient genetics analysis, druggability assessment, probabilistic/statistical/machine learning methods, Python or R programming, data visualization, team leadership, cross-functional communication
Preferred skills
Target discovery engine development, CRISPR/small molecule perturbation screen design, translational/clinical development program exposure
Technologies
Python, R
Responsibilities
Evaluate molecular evidence for target nomination and validation, lead and mentor a team of data scientists and computational biologists, pilot novel methods for target discovery and disease biology validation, define internal criteria for target data packages, connect analysis methods to platform and engineering teams, collaborate cross-functionally to build data packages for program milestones, present data analysis to external decision makers
Seniority
Senior, hands-on IC with leadership responsibilities
