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Computational Biologist, Neuroscience

Job in Salt Lake City, Salt Lake County, Utah, 84193, USA
Listing for: BioSpace
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst
Job Description & How to Apply Below
Position: Staff Computational Biologist, Neuroscience

Staff Computational Biologist, Neuroscience

Your work will change lives, including your own.

Please note: Our offices will be closed for our annual winter break from December 22, 2025, to January 2, 2026. Our response to your application will be delayed.

Impact You’ll Make

As a key member of Recursion’s partnership‑facing data science team, you will be at the forefront of reimagining drug discovery from first principles using Recursion’s massive data and compute capabilities. In this senior role, you will support a portfolio of partnership preclinical drug programs and design and execute analyses to support target nomination, validation, and early programs in neuroscience diseases.

You will integrate layers of Recursion platform data (phenomics, transcriptomics, proteomics, etc.) to validate the link between target and disease biology and to propose targets and early programs in novel areas of neuroscience. You will partner with biologists and medicinal chemists to build supporting data packets for targets from our phenomic maps, target screens, and partnered patient data sets. You will also collaborate with computational scientists across the organization to develop, deploy, and scale novel approaches to:
1) translational validation in hit‑to‑lead,
2) mechanism‑of‑action identification/de‑risking, and
3) building evidence for patient connectivity to match the targets we are validating and the medicines we create to the patients who need them.

In This Role, You Will
  • Deliver biological insights on therapeutic candidates and disease biology from the analysis of high‑dimensional (phenomics, transcriptomics, proteomics, patient‑derived) datasets that support clinical development planning
  • Evaluate the biological and molecular evidence for therapeutic hypotheses and accelerate drug program progression into the clinic
  • Synthesize diverse datasets (internal and external) to generate and evaluate hypotheses for drug discovery, biomarker development, mechanism of action, and target population identification
  • Present data analysis to decision makers and stakeholders in a clear and compelling way that drives medicines to patients
  • Assess new data sources, develop and scale new analysis methods, and support key program decisions with the ultimate goal of bringing life‑changing therapies to patients at unprecedented speed
  • Industrialize analysis approaches to not only solve for the current project, but also to accelerate future projects and scale the impact we can have
  • Collaborate cross‑functionally with Recursion’s data science, biology, medicinal chemistry, and platform teams to further advance Recursion’s ability to interpret and translate large‑scale data assets into therapeutic programs
The Team You’ll Join

Our group is a bold, agile, diverse collective of computational drug discovery scientists and data scientists deeply focused on the goal of bringing new therapeutics into the clinic at an accelerated pace. We span precision oncology, neuroscience, and I&I (immunology and inflammation), and focus on advancing novel, targeted therapies for these disease areas. We partner closely with biologists and medicinal chemists to design and execute impactful data analysis for multiple programs, and we are responsible for data strategy across the portfolio.

Our team collaborates extensively with computational biologists in other therapeutic areas and with data scientists and engineers from our core platform teams to provide a strong network of feedback and support.

Experience You’ll Need
  • PhD in a relevant field (computational biology, systems biology, bioinformatics, neuroscience, etc.) with a strong computational focus and 5+ years of experience in biotech or pharma industry OR MS in a relevant field
  • Experience applying computational methods (probabilistic, statistical, and/or machine‑learning techniques) to analyze and integrate matched human clinical and molecular data in a high‑level programming language such as Python or R
  • Deep expertise in the analysis and data integration of one or more ‘omics data modalities (phenomics, transcriptomics, proteomics, genomics) and/or human clinical data
  • Exceptional data visualization skills
  • Ex…
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