Computational Biologist
Confirmed live in the last 24 hours
Recursion Pharmaceuticals

501-1,000 employees

Integrating technology to industrialize biopharmaceutical drug discovery
Company Overview
Recursion is a clinical-stage biotechnology company that stands out for its integration of technological advancements across multiple disciplines, including biology, chemistry, automation, data science, and engineering, to industrialize drug discovery. The company's unique approach of creating virtuous cycles of learning around datasets positions it as a leader in building the next-generation biopharmaceutical industry. Furthermore, Recursion's commitment to diversity and inclusion, as evidenced by its emphasis on a wide range of expertise, gender, race, disciplines, experience, and perspectives, fosters a dynamic work culture that is geared towards achieving ambitious goals.
Data & Analytics

Company Stage


Total Funding





Salt Lake City, Utah

Growth & Insights

6 month growth


1 year growth


2 year growth

London, UK
Experience Level
Desired Skills
Data Science
Data Analysis
Computational Biology
Biology & Biotech
  • PhD in a relevant field (computational biology, bioinformatics, statistics, quantitative pharmacology, cancer/cell biology, etc.) with 3+ years of experience applying professional competencies to fundamental problems in oncology or drug discovery
  • Experience applying computational methods (including probabilistic, statistical, and/or machine learning techniques) to analyze complex biological and/or human clinical data
  • Fluency and experience working with high-level programming language such as Python or R for complex data analysis
  • General understanding of small molecule drug discovery and pharmacology
  • Efficiency in advancing drug-discovery projects, carrying and prioritizing among multiple projects and efficiently advancing projects to proof of concept
  • Experience in efficiently advancing drug program projects from proof of concept to preclinical. Industry oncology drug discovery experience preferred
  • Bold, passionate and highly collaborative with experience working in cross-functional teams
  • Ability to clearly explain computational analyses and methodologies to cross-functional and non-technical teams
  • Exceptional data visualization skills through creation of plots, documentation and presentations
  • Synthesize diverse datasets (internal and external) from comp bio, med chem, target id, SAR, DMPK, ADMET, biomarker discovery, etc. to accelerate programs (primarily in oncology)
  • Architect analyses and experiment cascades to collect and combine diverse data that inform statistically-sound decisions weighing risks and benefits
  • Present and discuss data with decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients
  • Industrialize approaches and analyses to not only solve for the current project, but also to accelerate future projects and scale the impact that we can have
  • Collaborate cross-functionally with Recursion’s data science and ML teams to further advance Recursion’s ability to interpret and translate large-scale phenomics data into therapeutic programs