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Recursion

Data-driven drug discovery platform leveraging datasets

Research Associate Intern - MOAD

Translational Research & Bench BiologyPosted on Nov 11
Internship · Spring 2027Salt Lake City, UT, USANo salary listed

About the Job

Requirements

  • At least 3 years of work experience in a research laboratory; mammalian cell culture and aseptic technique experience are preferred.
  • A bachelor's degree or higher in Biology, Biochemistry, Bioengineering, or a related field, with an understanding of molecular biology techniques.
  • At least a 2-year break from employment.
  • Ability to thrive in a team environment while also working independently.
  • Strong, proactive communication skills.

Responsibilities

  • Design and execute cellular-based assays, including experiment design, project planning, reagent preparation, thawing and culturing cells, lipofection, compound addition, and media changes.
  • Develop, optimize, and scale assays by identifying optimal assay conditions, troubleshooting experiments, and working with cross-functional teams to advance projects.
  • Use acoustic liquid handlers, microplate liquid handlers, and robotics systems to automate experiments.
  • Maintain detailed and accurate electronic laboratory notebooks, standard operating procedures, and project records.
  • Analyze datasets and present findings to peers to advance projects in a data-driven manner.

Desired Qualifications

  • Mammalian cell culture and aseptic technique experience.

About the Company

Recursion

Data-driven drug discovery platform leveraging datasets

Recursion uses a data-driven platform to speed up drug discovery in TechBio by combining large biological and patient datasets with wet-lab experiments. It runs tens of thousands of experiments weekly to profile genes and compounds across many cell types, and processes results on its BioHive 1 supercomputer to map billions of gene–compound relationships. This approach lets Recursion identify potential drug candidates by turning experimental data into actionable insights, and it collaborates through strategic partnerships with pharma companies, labs, and healthcare providers rather than pursuing traditional in-house discovery alone. Its goal is to decode biology at scale and translate findings into new medicines that help patients.

Company size
501-1,000
Company stage
IPO
Headquarters
Salt Lake City, UT
Founded
2013

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