Senior Computational Biologist - Translational and Clinical Biomarkers

• Evaluate molecular evidence for predictive and PD biomarker hypotheses in translational models and clinical samples
• Pilot novel methods for patient stratification and indication selection or expansion
• Deliver biological insights on therapeutic candidates and disease biology from analysis of high dimensional datasets
• Present data analysis to decision makers and stakeholders to drive toward getting medicines to patients
• Industrialize analysis approaches to accelerate future projects and scale impact
• Collaborate cross-functionally with data science, platform, ML and clinical teams to advance clinical data utilization

This role advances promising therapeutic candidates through clinical trials to develop life-changing medicines, working at the forefront of reimagining drug discovery to radically improve lives.

• PhD in relevant field with 3+ years biotech/pharma experience OR MS with 5+ years experience in oncology/drug discovery
• Experience with high dimensional patient biomarker data from clinical trials in oncology
• Strong understanding of patient genetics and druggability of disease relevant pathways
• Experience applying computational methods (probabilistic, statistical, machine learning) to analyze complex biological/clinical data in Python or R
• Deep expertise in analysis and data integration of two or more 'omics data modalities
• Exceptional data visualization skills
• Excellent cross-functional communication skills

Estimated annual base range: $151,800 to $216,300 (USD). Eligible for annual bonus and equity compensation, plus comprehensive benefits package. Office-based hybrid role with at least 50% in-office work.

Recursion is a clinical stage TechBio company that decodes biology to radically improve lives through its Recursion OS platform, which generates one of the world's largest proprietary biological and chemical datasets using machine learning and massive computational scale.