Jobs · Utah

Senior Computational Biologist – Early Discovery Immunology

Necessary Ventures · Salt Lake City, UT · 3 days ago
$167k–$221k/yrFull-time

About the role

The Impact You’ll Make
Your work will change lives. Including your own.

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.

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 have

  • 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

Qualifications

  • 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

Skills

  • 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

Benefits

At Recursion, we believe that every employee should be compensated fairly. Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is:

  • New York City: $166,980 to $220,660
  • Salt Lake City: $151,800 to $200,600

Pay

This is an office-based, hybrid role in our Salt Lake City, UT or New York, NY offices. Employees are expected to work in the office at least 50% of the time.

Schedule

This is an office-based, hybrid role in our Salt Lake City, UT or New York, NY offices. Employees are expected to work in the office at least 50% of the time.

Company Information

Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting.

Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation.

Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively.

More About Recursion

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