Role Summary
Data Science Returnship at Recursion. This four-month program provides an opportunity to re-enter the STEM workforce with mentorship and cross-functional collaboration in a bid to advance early-stage drug discovery through data science and machine learning.
Responsibilities
- Partner with biologists and chemists to advance early-stage programs through exploratory data analysis and experiment evaluation.
- Analyze and improve semi-automated evaluation systems via exploratory data analysis, method development, and deployment of new data analysis methods or metrics.
- Maintain, update, and improve scientific code-bases to harden systems, improve observability, accelerate development, and enable new capabilities and automations.
Qualifications
- Strong foundation in either:
- applying probability, statistics, and machine learning to real-world datasets
- developing scientific software, workflow orchestration, or data-engineering
- Familiarity with the Python data stack (e.g., numpy, pandas, scikit-learn).
- Prior experience in collaborative software development, including version control tools like git.
- Ability to critically review Python code, whether authored by peers or coding agents.
- Aptitude for breaking down complex problems into manageable parts and communicating project objectives and progress to a diverse team.
- Nice to have:
- Experience analyzing biological or high-dimensional datasets.
- Familiarity with workflow orchestration systems (e.g., Prefect).
- Experience accelerating and improving code development with coding agents.
Skills
- Exploratory data analysis
- Scientific software development
- Data governance and observability
- Python programming and data tooling
- Collaboration across biology, chemistry, data science, and engineering teams
Education
- No specific degree requirement listed; candidates with a strong foundational background in the relevant domains are considered.
Additional Requirements
- Career hiatus of 2+ years from the STEM industry.
- Based in Salt Lake City, UT with hybrid working flexibility; February 2026 through end of May 2026 program duration.