Senior Computational Biologist - Early Discovery Oncology
Core
Integrate massive datasets (phenomics, transcriptomics, genomics, proteomics) to nominate novel targets, validate disease biology, and define precision oncology strategies for early drug discovery.
Role type
Senior IC computational biologist (precision oncology)
Builds
Novel target discovery and validation methods, early patient population hypotheses, and data packages for drug programs
Domain
Precision oncology / Early drug discovery
Deliverable
production ML models | product features
Required skills
Computational biology, target ID, patient genetics, druggability of pathways, probabilistic/statistical/ML methods, Python/R, data visualization
Preferred skills
Building target discovery engines, CRISPR/small molecule perturbation screen design, drug program advancement (POC to IND)
Technologies
Python, R
Responsibilities
Evaluate molecular evidence for target nomination and validation; Pilot novel methods for target discovery and early patient population hypotheses; Define internal criteria for target data packages; Connect analysis methods to platform and engineering teams; Collaborate cross-functionally to build data packages; Present data analysis to decision makers
Seniority
Senior, hands-on IC