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Senior Computational Biologist – Target Identification

Recursion PharmaceuticalsNew York, New York; Salt Lake City, Utah
On-site Full-time $151.8K/yr - $230K/yr

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Experience Level

Senior

Qualifications

To excel in this position, the candidate should possess:A strong background in computational biology and familiarity with data science techniques. Experience in building and validating predictive models and developing intelligent data pipelines. A comprehensive understanding of patient-relevant datasets and disease biology. Proven ability to collaborate effectively with interdisciplinary teams. Exceptional problem-solving skills and a proactive approach to learning new techniques.

About the job

Recursion Pharmaceuticals seeks a Senior Computational Biologist to join the Target Identification team in either New York, NY or Salt Lake City, UT. The group’s focus is large-scale discovery of novel therapeutic targets across the genome and a wide spectrum of diseases.

This position centers on advancing Recursion’s drug discovery strategy. The Senior Computational Biologist serves as a biological expert within a technical data science group, playing a key role in building and improving target discovery pipelines. Responsibilities include hands-on integration of varied data sources, such as Recursion’s internal maps, functional genomics, and patient data sets like transcriptomics, genetics, and real-world evidence from electronic health records.

What you will do

  • Discover and evaluate: Propose and validate new therapeutic targets by integrating patient data (transcriptomics, population genetics, EHR) with Recursion’s multi-omic datasets.
  • Guide and automate: Work with data scientists to design, refine, and direct semi-automated target discovery tools. Ensure these tools are biologically sound and scalable across therapeutic areas.
  • Triangulate: Use advanced statistical approaches, including causal inference and survival modeling, to connect targets with patient populations and define groups for early-stage pipeline development.

Requirements

  • Expertise in computational biology and strong familiarity with data science technologies.
  • Experience building and assessing predictive models and intelligent analytical pipelines.
  • Deep understanding of patient-relevant datasets, disease biology, and target discovery processes.
  • Ability to guide colleagues in using biological data for program development.
  • Proficiency in integrating multiple data types and piloting new analytical methods.
  • Comfort working with semi-automated tools, including multi-agent LLM systems for portfolio management and target evaluation.

Impact

This role offers the opportunity to shape drug discovery, influence the development of intelligent tools, and directly affect patient outcomes. The Senior Computational Biologist will work closely with data scientists and software engineers, ensuring that new technologies remain grounded in biological evidence and deliver meaningful results for patients and Recursion’s portfolio.

About Recursion Pharmaceuticals

Recursion Pharmaceuticals is at the forefront of transforming drug discovery through advanced computational biology and data science. Our innovative approach leverages vast datasets to identify novel therapeutic targets, enhancing the potential for significant impacts on patient care.

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