Senior Immunology Target Discovery Scientist (Computational)

BioSpace; Salt Lake City (UT); Hybrid; USD 152,000 - 201,000; Full time

Benefits offered by this job

Hybrid role

Equity compensation

Annual bonus possible

Job summary

Recursion is seeking a computational biologist to join our early discovery team in Salt Lake City. You will integrate large datasets—phenomics, transcriptomics, genomics, proteomics—to nominate novel targets and validate disease biology, advancing therapies into drug discovery programs.

PhD with 3+ years biotech/pharma, or MS with 5+ years, immunology domain expertise, and strong Python or R skills for data analysis and visualization.

Qualifications

• PhD with strong computational focus and 3+ years biotech/pharma experience OR MS with 5+ years industry experience solving fundamental problems in early drug discovery.
• Domain expertise in immunological diseases and target id.
• Experience applying computational methods to analyze complex biological data in Python or R.
• Exceptional data visualization and cross-functional communication skills.

Responsibilities

• Drive Target Discovery by evaluating 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 and early patient population strategy.
• Collaborate with platform and engineering teams to solve current projects and accelerate future ones.
• Partner with biologists, medicinal chemists, translational and portfolio leads to build compelling data packages for milestones.
• Present data analyses to decision makers to drive investments and patient access.

Skills

Computational biology

Bioinformatics

Python

R

Data visualization

Cross-functional collaboration

Education

PhD in computational biology / immunology / bioinformatics

MS in relevant field with 5+ years biotech/pharma

Job description

Recursion is seeking a computational biologist to join our early discovery team in Salt Lake City. You will integrate large datasets—phenomics, transcriptomics, genomics, proteomics—to nominate novel targets and validate disease biology, advancing therapies into drug discovery programs.

PhD with 3+ years biotech/pharma, or MS with 5+ years, immunology domain expertise, and strong Python or R skills for data analysis and visualization.