Technical Program Manager, ClinTech Strategy & Analytics
Recursion · New York City, NY · Data Science
About this role
Recursion is hiring a mid-level Technical Program Manager in the software engineering function based in New York City, NY. The posting calls out experience with Python, SQL, LLMs, Configuration Management. Compensation is listed at $136,200–$211,100 per year.
- Role
- Technical Program Manager
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- New York City, NY
- Department
- Data Science
More roles at Recursion
Job description
from Recursion careersYour work will change lives. Including your own.
The Impact You’ll Make
Recursion is a TechBio company using technology and AI to industrialize drug discovery. ClinTech is the team bringing that same ambition into clinical development, building an integrated platform that spans trial planning, site selection, enrollment forecasting, and real-world evidence to run clinical trials faster and smarter.
Reporting to the Associate Director, ClinTech Strategy & Operations, this role sits at the heart of that build. You will work closely with Clinical Development Operations and Decision Science, support delivery of the ClinTech roadmap, and help ensure our technology initiatives stay connected to active clinical programs. You will also support how we communicate ClinTech’s progress to senior leadership and external audiences.
We are looking for someone who is analytically sharp, curious, and energized by working at the intersection of data, technology, and clinical development. This is an opportunity to join a high-visibility team at an exciting stage, where the platform is actively being built and your contributions will have real impact.
In this role, you will:
- Project manage and track across the ClinTech roadmap: monitor progress, flag blockers, and keep stakeholders informed
- Work closely with Clinical Development Operations and Decision Science to translate priorities into actionable plans, including querying large datasets, surfacing insights, and turning real-world data into clear recommendations