Senior Computational Biologist – Early Discovery Immunology

Recursion•Salt Lake City, UT

23h•$151,800 - $220,660•Hybrid

About The Position

As a computational biologist within Recursion’s early discovery team, you will be at the forefront of reimagining drug discovery from first principles. Your mission is to integrate Recursion’s massive datasets—phenomics, transcriptomics, genomics, proteomics—to nominate novel targets, validate disease biology, and define the precision I&I strategies to advance our most promising therapeutic targets into full-fledged drug discovery programs. This is a highly collaborative role: you will partner with biologists, chemists, data scientists, platform and data engineers, and translational experts to develop and scale methods for target discovery and validation. You will also partner with computational scientists from across the organization to develop novel approaches to agentic target packages, early translational de-risking, and mechanism of action identification. The ideal candidate has strong stakeholder management, technical communication skills, and 3+ years biotech or pharma experience in early drug discovery. We are hiring for two roles on a new target ID team, one domain expert in immunology and inflammatory diseases (this role) and one in precision oncology.

Requirements

PhD in a relevant field (computational biology, bioinformatics, systems biology, immunology, etc.) with a very strong computational focus and 3+ years of experience in biotech or pharma industry OR MS in a relevant field and 5+ years of experience in biotech or pharma industry solving fundamental problems in early drug discovery
Domain expertise in immunological diseases and target id
Strong understanding of patient genetics and druggability of disease relevant pathways
Experience applying computational methods (including probabilistic, statistical, and/or machine learning techniques) to analyze and integrate complex biological and/or human clinical data in a high level programming language such as Python or R
Exceptional data visualization skills
Excellent cross-functional communication skills, including an ability to explain complex scientific concepts to a variety of audiences using a combination of plots, documents, and presentations

Nice To Haves

Experience building a target discovery engine using public and proprietary datasets
Experience designing high-throughput screens with CRISPR or small molecule perturbations to validate therapeutic hypotheses
Previous exposure to efficient drug program advancement from proof of concept to IND

Responsibilities

Drive Target Discovery: Evaluate the molecular evidence for target nomination and validation, leveraging Recursion’s platform to identify novel vulnerabilities in I&I disease biology
Pilot novel methods for target discovery, disease biology validation, and early patient population hypotheses to send programs into nomination cascades
Define internal criteria for target data packages and early patient population strategy
Connect your innovative analysis methods to platform and engineering teams so that we solve the current project and accelerate future ones
Collaborate cross-functionally: Partner with biologists, medicinal chemists, translational, and portfolio leads to build compelling data packages that drive program milestones and internal investment decisions.
Present data analysis to decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients.