Recursion Pharmaceuticals Software Engineer interview questions & guide 2026

The questions you will face during the Recursion Pharmaceuticals interview process are designed to evaluate your practical coding abilities, system design skills, and alignment with the company's collaborative culture. These questions are drawn from real interview experiences and are structured to test how you think through complex, open-ended problems rather than your ability to memorize standard algorithmic templates.

Coding & Algorithmic Problem Solving

These questions assess your core programming skills, familiarity with data structures, and ability to write clean, maintainable code under time constraints.

• Solve a multi-part algorithmic challenge involving custom string parsing and regular expressions (Regex).
• Write a SQL query to extract and aggregate complex experimental data from relational tables.

Preparing for an interview at Recursion Pharmaceuticals requires a balanced approach that covers deep technical competency, architectural intuition, and behavioral preparation. You should approach your preparation not as a test of rote memorization, but as a demonstration of how you collaborate and solve real-world engineering challenges.

Role-Related Knowledge – You must demonstrate a strong command of software engineering fundamentals, particularly in Python, database design, and pipeline orchestration. Be ready to explain the trade-offs of different architectural decisions, especially when handling large-scale data processing or machine learning pipelines.

Problem-Solving Ability – Interviewers want to see how you break down complex, ambiguous problems into modular, testable components. During design and coding rounds, talk through your thought process out loud, state your assumptions clearly, and actively seek feedback as you build your solution.

Collaboration & Communication – Because you will work closely with scientists and data specialists, your ability to translate complex technical concepts into clear, understandable language is critical. Show that you are receptive to feedback and eager to collaborate on solving multi-disciplinary challenges.

Culture & Values Alignment – Recursion Pharmaceuticals places a high premium on its core values, including collaboration, continuous learning, and bias for action. Prepare detailed stories from your past experience that highlight how you embody these values, using the STAR (Situation, Task, Action, Result) method.

The interview process at Recursion Pharmaceuticals is thorough and designed to evaluate both your technical depth and your cultural fit over several stages. The process typically takes between four to six weeks, though timelines can vary based on team alignment and candidate volume.

The journey begins with an initial recruiter screen, which is conversational and focuses on your background, recent projects, and overall fit for the organization. Following this, you will typically complete an online assessment (OA) on a platform like HackerRank. This assessment is highly comprehensive, testing a mix of SQL, regular expressions, data structures, and practical coding challenges within a set time limit.

If you pass the online assessment, you will move on to technical and behavioral interviews with hiring managers and directors. The final stages involve a live coding exercise—often focused on practical software design rather than abstract puzzles—a system design interview, and a dedicated session focused on leadership and core values alignment.

The timeline above illustrates the typical progression from the initial application to the final decision. Candidates should expect a highly structured sequence that balances technical execution with deep behavioral deep dives. Use this timeline to pace your preparation, ensuring you allocate sufficient time for both coding practice and behavioral storytelling.

To excel in the Recursion Pharmaceuticals interview process, you must understand the specific competencies evaluated in each major technical and behavioral session.

Software & Pipeline Design (The DAG Exercise)

This is one of the most distinctive parts of the interview process. Rather than asking a standard LeetCode puzzle, interviewers will often ask you to design a practical software component, such as a Directed Acyclic Graph (DAG) execution engine (similar to Apache Airflow) using Python.

Be ready to go over:

• Dependency Management – How to model tasks, define dependencies between them, and execute them in the correct topological order.

As a Software Engineer at Recursion Pharmaceuticals, your daily responsibilities will span system architecture, pipeline optimization, and cross-functional collaboration.

• Design and Build Scalable Infrastructure: You will architect and maintain the software pipelines that ingest, process, and analyze massive biological and chemical datasets generated by the automated wet labs.
• Develop Reusable Software Components: You will write clean, modular, and well-tested code, ensuring that the software tools you build can be easily reused and extended by other engineering and data science teams.
• Collaborate with Cross-Functional Partners: You will work closely with biologists, chemists, data scientists, and product managers to translate scientific workflows into highly efficient automated software solutions.
• Optimize Machine Learning Pipelines: You will assist in integrating machine learning models into production pipelines, ensuring low-latency inference and robust data flow.
• Uphold Engineering Excellence: You will participate in code reviews, champion modern DevOps and testing practices, and contribute to a culture of continuous technical improvement.

To be competitive for the Software Engineer position, you must demonstrate a strong technical foundation coupled with excellent collaborative skills.

• Must-have skills – High proficiency in Python and solid experience with relational databases (SQL). Strong understanding of software design patterns, data structures, and object-oriented programming.
• Nice-to-have skills – Experience with workflow orchestration tools (like Airflow or Prefect), cloud platforms (AWS or GCP), and containerization (Docker, Kubernetes). Prior exposure to machine learning frameworks or bioinformatics is a significant plus but not strictly required.
• Experience level – Typically requires a Bachelor's degree in Computer Science or a related technical field, along with several years of professional software engineering experience building scalable systems.
• Soft skills – Outstanding communication skills, a highly collaborative mindset, comfort with ambiguity, and a strong passion for the company's mission of industrializing drug discovery.

Q: How difficult is the Software Engineer interview process at Recursion Pharmaceuticals? A: The process is generally rated as average to difficult. While it does not rely heavily on hyper-specific, abstract LeetCode brain teasers, it requires a very strong grasp of practical software design, object-oriented principles in Python, and system architecture.

Q: What is the most important technical round to prepare for? A: The software design exercise, such as designing a DAG or execution engine in Python, is critical. Focus on writing clean, modular, and reusable code, and be prepared to explain how your design handles complexity and future extensions.

Q: How important are the behavioral interviews? A: Extremely important. Recursion Pharmaceuticals conducts thorough behavioral interviews using the STAR method, often led by senior directors. They look for deep alignment with their core values, collaboration across disciplines, and a strong growth mindset.

Q: Do I need a background in biology or chemistry to get hired? A: No, a background in life sciences is not required. However, you must show a genuine curiosity and willingness to learn about the domain, as you will be collaborating daily with scientific experts to build software that decodes biology.

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

• Master the STAR Method: Prepare 4 to 5 detailed stories from your past experience. Ensure you focus heavily on the Actions you personally took and the quantifiable Results of those actions.
• Brush Up on SQL and Regex: The online assessment is known to cover a wide variety of topics, including SQL queries and regular expression parsing. Do not neglect these areas during your preparation.
• Ask Clarifying Questions: During the DAG design and system design rounds, the requirements will purposely be left somewhat vague. Begin by asking clarifying questions to define the scope before writing any code.

• Explain Your Trade-offs: Whenever you make a design choice—whether in a coding round or a system design round—explicitly state the trade-offs regarding readability, scalability, and performance.

Securing a Software Engineer role at Recursion Pharmaceuticals is an exciting opportunity to apply your technical expertise to one of the most meaningful challenges of our time: accelerating the discovery of life-saving medicines. The interview process is designed to find engineers who are not only technically brilliant but also deeply collaborative, structured in their thinking, and aligned with a mission-driven culture.

By focusing your preparation on practical Python design patterns, robust pipeline architecture, and structured behavioral storytelling, you can stand out as an exceptional candidate. Approach each round as an opportunity to collaborate with your interviewers and demonstrate how you solve complex, ambiguous problems.

For additional resources, detailed community insights, and comprehensive preparation tools tailored to top tech and biotech roles, explore the interview preparation guides available on Dataford.

The compensation data above represents the competitive salary ranges offered for engineering roles at Recursion Pharmaceuticals. When reviewing these figures, consider how your specific experience level, technical depth, and location align with these bands. Use this information to guide your career planning and compensation discussions during the final stages of the hiring process.