Application Guide
How to Apply for Senior Analytics Engineer
at Recursion
🏢 About Recursion
Recursion is a clinical-stage TechBio company uniquely positioned at the intersection of technology and biology, using its Recursion OS platform to decode biology and generate one of the world's largest proprietary biological and chemical datasets. What makes them distinctive is their mission to radically improve lives by advancing the future of medicine through data-driven drug discovery, offering the chance to work on cutting-edge problems that directly impact human health.
About This Role
As a Senior Analytics Engineer at Recursion, you'll build and maintain integrated project dashboards that sync assay results with cross-functional portfolio data, serving as a core resource for design teams. Your work will involve coding robust repositories for Spotfire automation and BigQuery integration, designing metrics and predictive modeling workflows to inform 'next-best' design recommendations, and creating automated reporting pipelines to surface critical signals for timely scientific action.
💡 A Day in the Life
A typical day might involve coding and maintaining repositories for Spotfire automation and BigQuery integration to streamline data flow across the discovery lifecycle, while collaborating with cross-functional teams to design metrics and predictive modeling workflows that inform design recommendations. You'd also work on building and evolving integrated project dashboards that sync assay results with portfolio data, ensuring project teams can take timely action on new scientific insights.
🚀 Application Tools
🎯 Who Recursion Is Looking For
- Expert in TIBCO Spotfire development with hands-on experience managing automation services and measuring tool adoption through action logs
- Advanced engineering skills in Python, BigQuery, and Prefect, with proven ability to maintain production-level repositories using Git
- Experience with Google Cloud Platform (preferred) or another major cloud provider to support scalable data infrastructure
- Scientific domain knowledge of the drug discovery lifecycle, enabling effective collaboration with cross-functional teams
📝 Tips for Applying to Recursion
Highlight specific TIBCO Spotfire projects where you managed automation services and measured adoption metrics through action logs
Demonstrate your experience with the Python-BigQuery-Prefect stack by describing a production-level repository you maintained via Git
Show how you've applied cloud infrastructure (especially GCP) to support scalable data pipelines in a scientific or drug discovery context
Connect your technical skills to the drug discovery lifecycle by explaining how you've previously informed design recommendations or tracked project progress
Tailor your resume to emphasize automated reporting pipelines you've built to surface critical signals for timely decision-making
✉️ What to Emphasize in Your Cover Letter
["Your experience with TIBCO Spotfire automation and how you've measured tool adoption through action logs in previous roles", "Specific examples of production-level repositories you've maintained using Python, BigQuery, Prefect, and Git", 'How your scientific domain knowledge of drug discovery enables you to design meaningful metrics and predictive modeling workflows', "Why you're drawn to Recursion's mission of decoding biology through data to advance medicine"]
Generate Cover Letter →🔍 Research Before Applying
To stand out, make sure you've researched:
- → Recursion's Recursion OS platform and how it generates biological and chemical datasets
- → The company's pipeline and recent clinical-stage developments in drug discovery
- → Recursion's approach to decoding biology through data science and engineering
- → The company's culture and values, particularly around improving lives through medicine
💬 Prepare for These Interview Topics
Based on this role, you may be asked about:
⚠️ Common Mistakes to Avoid
- Applying with generic data engineering experience without demonstrating specific TIBCO Spotfire expertise
- Failing to connect technical skills to the drug discovery lifecycle or scientific context
- Not showing experience with the specific tech stack (Python, BigQuery, Prefect, Git) in production environments
📅 Application Timeline
This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.
Typical hiring timeline:
Application Review
1-2 weeks
Initial Screening
Phone call or written assessment
Interviews
1-2 rounds, usually virtual
Offer
Congratulations!