Disease Case Study & Rapid Research

In some interview loops, you will be assigned a specific disease area or biological target approximately one week before your interview and asked to present a brief screening proposal.

This exercise is designed to simulate the fast-paced nature of working at Recursion Pharmaceuticals, where you must rapidly get up to speed on new biology and propose concrete experimental plans.

Be ready to go over:

• Disease biology – Rapidly identifying key pathological drivers, cellular phenotypes, and relevant biomarkers of the assigned disease.
• Platform integration – Proposing how to model this disease using the company's high-content imaging and automated screening platform.
• Feasibility & scale – Designing a screening workflow that is realistic, cost-effective, and scalable.

Example scenarios:

• "Propose a 384-well phenotypical screening strategy to identify small molecules that rescue the disease phenotype in a genetic model of Huntington's disease."
• "What biological readouts would you prioritize to confirm that a compound hit is acting on the intended pathway rather than causing general cellular stress?"

As a Research Scientist at Recursion Pharmaceuticals, your daily activities will blend cutting-edge laboratory research with collaborative data analysis. You will not be isolated at the bench; instead, you will act as a scientific bridge across several key areas of the organization.

• Assay Design and Execution: You will design, optimize, and execute robust, automated cell-based assays (including primary cells, iPSCs, and engineered cell lines) to model human disease biology.
• Platform Scaling: You will collaborate closely with automation engineers to transition bench-scale assays onto high-throughput robotic systems, ensuring high data quality and reproducibility.
• Cross-Functional Data Analysis: You will partner with computational biologists and data scientists to analyze high-dimensional datasets, using your biological expertise to help interpret machine learning outputs and prioritize compound hits.
• Target and Pathway Validation: You will design and execute downstream validation experiments to confirm the mechanism of action and efficacy of hits identified by the primary phenotypic screening platform.
• Project Leadership: You will contribute to or lead interdisciplinary project teams, helping to drive therapeutic programs from initial screen through lead optimization and toward candidate nomination.

To be competitive for the Research Scientist position, candidates must demonstrate a strong academic foundation coupled with practical, hands-on experience in modern drug discovery methodologies.

Technical Skills & Experience

• Must-have skills:

  • A PhD (or equivalent industry experience) in Cell Biology, Immunology, Oncology, Pharmacology, or a related biological discipline.
  • Extensive hands-on experience developing and optimizing cell-based assays (e.g., immunofluorescence, flow cytometry, qPCR, reporter assays) in 96-well or 384-well formats.
  • Deep experience with mammalian cell culture, including primary cells, co-culture systems, or iPSC-derived models.
  • Strong statistical literacy and experience using data analysis software (e.g., Prism, Spotfire, or FlowJo) to evaluate assay quality and compound potency.

• Nice-to-have skills:

  • Direct experience working with automated liquid handling systems (e.g., Beckman, Tecan, Hamilton) and high-content imaging platforms (e.g., ImageXpress, Opera Phenix).
  • Basic proficiency in quantitative programming languages such as Python or R for biological data manipulation.
  • Prior experience in an industrial drug discovery setting (biotech or pharma).

Soft Skills & Cultural Attributes

• Interdisciplinary Collaboration: An active desire to work closely with computational scientists, engineers, and chemists, coupled with the ability to communicate complex biology clearly to non-specialists.
• Intellectual Curiosity: A passion for leveraging technological and computational advances to solve historically difficult biological problems.
• Resilience and Agility: The ability to maintain high scientific standards and positive morale in a fast-paced environment where project goals can evolve rapidly based on emerging data.

Q: How technical is the interview process for candidates coming from a purely academic background? A: The process is highly rigorous but fair. The team does not expect academic candidates to know automation engineering or advanced machine learning. However, they do expect absolute mastery of your own research, exceptional experimental design logic, and a strong willingness to learn how your biology can integrate with computational workflows.

Q: What is the company culture like for Research Scientists? A: The culture is highly collaborative, mission-driven, and fast-paced. Unlike traditional academic labs or rigid pharmaceutical companies, there is a strong emphasis on cross-functional teamwork. Scientists, data scientists, and engineers work as intellectual equals, which creates a highly stimulating and flat organizational dynamic.

Q: How long does the entire interview process typically take? A: From the initial recruiter screen to a final offer or decision, the process generally takes between three to six weeks. The company utilizes structured portals for scheduling, which helps keep the process moving efficiently, though holiday periods can occasionally introduce minor delays.

Q: Is there a take-home assignment or writing test? A: Some candidates, depending on the specific team, report being given a short scientific writing assignment or a platform-related drug screening case study earlier in the process. This is typically designed to take a few hours and evaluates your critical thinking and familiarity with the company's screening philosophy.

To maximize your chances of success during the Recursion Pharmaceuticals interview process, keep these insider tips in mind:

• Understand the Platform: Before your interview, spend time thoroughly researching the company's core technology platform. You should be able to explain in your own words how phenotypic screening, high-content imaging, and machine learning combine to accelerate drug discovery.
• Highlight Quantitative Skills: Even if you are a traditional wet-lab biologist, highlight any experience you have with large datasets, image analysis tools, or basic coding. Showing that you are not intimidated by data is a huge plus.
• Prepare for the Disease Presentation: If you are assigned the random disease presentation, do not panic. The interviewers are not expecting you to become a world expert in a week. They want to see your research methodology, how you prioritize information, and how you structure a logical scientific proposal under a tight deadline.

• Showcase Collaborative Success: When answering behavioral questions, use examples that highlight cross-functional teamwork. Frame your successes not just as individual achievements, but as collaborative victories where you bridged different areas of expertise.
• Ask Thoughtful Questions: Use your Q&A time to ask deep, intellectually curious questions about the company's pipeline, how they handle data feedback loops, or how they balance computational predictions with biological reality. This shows you are already thinking like a member of the team.

The Research Scientist role at Recursion Pharmaceuticals represents an extraordinary opportunity to help shape the future of medicine. By combining your biological expertise with one of the world's most advanced automated drug discovery platforms, you will have the tools to make a profound, scalable impact on patient lives. The work is challenging, fast-paced, and intellectually demanding, but it is equally rewarding for scientists who want to break free from the limitations of traditional drug discovery.

As you prepare, keep your focus on demonstrating absolute technical excellence in your assay design, showcasing your ability to collaborate across scientific boundaries, and demonstrating your alignment with the company's bold, tech-forward mission. A structured, thoughtful approach to your preparation will ensure you stand out as a top-tier candidate.

The compensation insights shown above reflect the competitive market positioning of Recursion Pharmaceuticals for scientific talent. When evaluating an offer, remember that total compensation typically includes a base salary, performance bonuses, and equity components, reflecting your shared stake in the company's long-term pipeline success. For more detailed preparation resources, community insights, and interview strategies, you can explore additional company profiles and interview guides on Dataford.