Associate Director, Computational Biology – Early Discovery

In this role, you will:
- Drive target discovery by evaluating molecular evidence for target nomination/validation and identifying novel disease vulnerabilities.
- Lead and mentor data scientists and computational biologists; foster scientific rigor, bold experimentation, delivery, and growth.
- Pilot novel methods for target discovery, disease biology validation, and early patient population hypotheses.
- Define internal criteria for target data packages and early patient population strategy.
- Collaborate with platform and engineering teams to solve current projects and accelerate future work.
- Partner cross-functionally (biologists, medicinal chemists, translational/clinical leads) to build data packages that drive milestones and portfolio decisions.
- Present analysis to external decision makers and stakeholders.

The experience you’ll need:
- PhD in a relevant field with strong computational focus and 3+ years biotech/pharma early drug discovery experience; OR MS with 5+ years.
- Domain expertise in oncology or immunological diseases.
- Strong patient genetics and pathway druggability understanding.
- Experience applying computational methods (probabilistic/statistical/ML) using Python or R.
- Exceptional data visualization; track record managing/developing direct reports.
- Excellent cross-functional communication.

Nice to have:
- Experience building a target discovery engine.
- Experience designing CRISPR or small-molecule high-throughput perturbation screens.
- Exposure to translational/clinical programs.

Location/compensation:
- Hybrid, US headquarters in Salt Lake City, Utah (in office at least 50%).
- Estimated base: $200,600–$220,500; eligible for annual bonus and equity, plus comprehensive benefits.