A Research Analyst at Recursion Pharmaceuticals plays a pivotal role in bridging the gap between high-throughput wet-lab biology and cutting-edge computational science. Recursion Pharmaceuticals is industrializing drug discovery by combining automated biology, artificial intelligence, and massive datasets to decode biology and discover new therapeutics at scale. In this role, you are not just analyzing isolated experiments; you are helping to build and interpret a massive, interconnected map of biological relationships.

Your work directly impacts the company's proprietary pipeline and therapeutic target discovery. By analyzing complex biological data, imaging datasets, and genomic profiles, you will help identify promising drug candidates and disease models. This requires a unique blend of domain expertise in life sciences and strong quantitative skills to navigate the hundreds of terabytes of data generated by Recursion's automated platform.

Success as a Research Analyst requires a highly collaborative mindset. You will work alongside machine learning scientists, automation engineers, and translational biologists to translate raw experimental outputs into actionable therapeutic insights. It is a highly strategic and multi-disciplinary position where your analytical precision directly influences which disease programs move forward into clinical development.

The following questions are representative of what you can expect during the interview process for a Research Analyst position. These questions are compiled from real candidate experiences at Recursion Pharmaceuticals and are designed to illustrate the core patterns of evaluation. Your actual interview will feature a combination of these concepts tailored to your specific team and background.

Technical & Data Analysis

These questions assess your ability to manipulate, analyze, and draw statistically sound conclusions from complex biological datasets.

• How do you handle outliers or batch effects when analyzing high-throughput screening data?
• Describe a time when you had to clean and preprocess a large, messy dataset before beginning your analysis.

Preparing for an interview at Recursion Pharmaceuticals requires a balanced approach that covers both your scientific credentials and your ability to work in a highly modern, tech-enabled biotech environment. You should treat the preparation process as an opportunity to demonstrate how your analytical skills can scale.

To stand out, focus on demonstrating strength across these key evaluation criteria:

Role-Related Knowledge – You must demonstrate a robust understanding of cell biology, genetics, or biochemistry, alongside practical experience in data analysis. Interviewers will evaluate your ability to think critically about biological systems and apply quantitative methods to solve research problems.

Problem-Solving & Structuring – You will be asked to walk through how you approach ambiguous scientific questions. Be ready to explain your experimental designs, how you choose your controls, and how you systematically troubleshoot data anomalies.

Cross-Functional Collaboration – Because Recursion Pharmaceuticals operates at the intersection of biology and technology, you must show that you can communicate complex biological concepts to non-biologists (and vice versa). Your ability to collaborate with software engineers, automation experts, and data scientists is critical.

Cultural Alignment – The team values curiosity, intellectual honesty, and a passion for transforming patient lives. Be prepared to discuss how you navigate failure, learn from setbacks, and contribute to a highly collaborative, mission-driven community.

The interview process for a Research Analyst at Recursion Pharmaceuticals is rigorous, highly structured, and designed to evaluate both your technical depth and your collaborative potential. Candidates frequently describe the process as challenging but exceptionally conversational, emphasizing that the team aims to understand your true capabilities rather than interrogate you.

The process typically spans several weeks and is structured into distinct phases:

The journey begins with an initial screening call with a recruiter to review your background, basic qualifications, and alignment with the job description. This is followed by a technical screening or a phone interview with a hiring manager or team lead, focusing on your research experience and analytical skills. The final stage is a comprehensive panel interview loop—conducted either virtually or onsite at their headquarters—where you will meet with multiple team members, cross-department scientists, and HR representatives to assess your technical skills, behavioral fit, and collaborative style.

This visual timeline illustrates the typical progression from your initial application to the final hiring decision. You should use this overview to pace your preparation, ensuring you allocate sufficient time to practice both your technical presentations and your behavioral stories. Keep in mind that while the stages are standardized, the exact timeline can vary depending on the department's hiring volume and the time of year.

To excel in the Research Analyst interview loop, you need to understand the specific core competencies that the panel will be evaluating. Each session is structured to probe a different aspect of your professional capabilities.

Data Analysis & Quantitative Skills

This area evaluates your ability to process, analyze, and interpret complex data. Recursion Pharmaceuticals relies heavily on automated data generation, meaning you must be comfortable dealing with scale and using modern computational tools.

Be ready to go over:

• Data preprocessing – How to handle missing values, normalize data across different plates or batches, and identify artifacts.
• Statistical analysis – Choosing the right statistical tests, understanding statistical power, and calculating Z-prime factors for assay quality.
• Coding and tools – Your proficiency in writing clean, reproducible scripts in Python or R to manipulate large datasets.

Example scenarios:

• Explaining how you would identify and correct for a systematic pipetting error or "edge effect" on a 384-well plate.
• Walking through your personal workflow for analyzing a high-content imaging dataset from raw images to final hit selection.

Biological Domain Expertise & Assay Design

As a Research Analyst, you must possess a strong foundational understanding of disease biology and experimental design. The team wants to see that you can design robust experiments that generate high-quality data.

Be ready to go over:

• Assay development – Designing cell-based, biochemical, or phenotypic assays that are scalable and reproducible.
• Disease modeling – Selecting the right cell lines, primary cells, or genetic perturbation methods (e.g., CRISPR, RNAi) to model human disease.
• Target identification – The biological reasoning behind prioritizing specific pathways or targets for therapeutic intervention.
• Advanced concepts – High-content screening, transcriptomics, metabolomics, and applying deep learning models to phenotypic profiling.

Example scenarios:

• Designing a phenotypic screening assay to identify compounds that reverse a specific disease phenotype in human astrocytes.
• Discussing how you would validate a novel biological target discovered through an automated machine learning pipeline.

Collaboration & Communication

No one at Recursion Pharmaceuticals works in a vacuum. Your ability to integrate into a multi-disciplinary team is just as important as your scientific credentials.

Be ready to go over:

• Cross-functional communication – Translating biological findings into concepts that software engineers or machine learning scientists can build models around.
• Feedback and mentorship – How you give and receive constructive feedback during peer reviews or joint project planning.
• Project ownership – Your experience taking initiative, managing project timelines, and coordinating with multiple stakeholders.

Example scenarios:

• Describing a situation where you had to resolve a disagreement with a team member regarding data interpretation or experimental direction.
• Explaining how you communicated a complex biological limitation to a computational team that was designing an automated analysis pipeline.

The day-to-day work of a Research Analyst at Recursion Pharmaceuticals is fast-paced, highly collaborative, and deeply analytical. You will spend your time at the intersection of laboratory execution and data science, ensuring that the biological data pipeline runs smoothly and yields meaningful scientific insights.

Your primary responsibilities will include:

• Analyzing High-Throughput Screening Data: You will process and analyze massive datasets generated by Recursion's automated wet-lab platforms, identifying trends, hits, and anomalies.
• Collaborating Across Disciplines: You will work closely with data scientists, machine learning engineers, and automation specialists to design, optimize, and scale biological assays.
• Translating Biology to Code: You will write scripts to automate data workflows, helping to integrate laboratory outputs directly into the company’s computational models.
• Designing and Validating Assays: You will assist in the design, development, and validation of cell-based assays to model human diseases and evaluate potential therapeutic compounds.
• Communicating Research Insights: You will synthesize complex analytical findings into clear, concise reports and presentations for cross-functional project teams and leadership.

Ultimately, your role is to ensure that the scientific data driving Recursion's drug discovery engine is robust, accurate, and translated into actionable therapeutic programs.