Senior Computational Biologist - Early Discovery Oncology

You will integrate phenomics, transcriptomics, genomics, and proteomics data to nominate targets, validate disease biology, and define precision oncology strategies. You will develop target-discovery methods, collaborate with scientific and engineering partners, and present analyses that inform program decisions.

Responsibilities

• Evaluate molecular evidence for target nomination and validation
• Identify novel vulnerabilities in precision oncology disease biology
• Pilot methods for target discovery, validation, and patient population hypotheses
• Define criteria for target data packages and patient population strategy
• Connect analysis methods with platform and engineering teams
• Build data packages with cross-functional partners
• Present data analyses to decision makers and stakeholders

Requirements

• PhD in a relevant computational field and 3+ years of biotech or pharmaceutical industry experience, or MS in a relevant field and 5+ years of such experience
• Expertise in precision oncology and target identification
• Understanding of patient genetics and pathway druggability
• Experience applying probabilistic, statistical, or machine learning methods to complex biological or clinical data
• Python or R
• Data visualization
• Cross-functional communication

Benefits

• Annual bonus
• Equity compensation
• Comprehensive benefits package