data
Posted Apr 24Staff Data Scientist
New York, United StatesOn-site
Responsibilities
- Design and run experiments that determine what's worth building
- Define the path from raw data to product and operationalization: what to model, how to evaluate it, and when it's ready to ship
- Identify opportunities where our data creates unique predictive advantages
Requirements
- By combining deep expertise in clinical trials with cutting-edge AI, we empower research teams and study sponsors to expand and expedite access to novel therapeutics for patients in need. About the Role
- We're looking for someone who wants to dig deeply into this data - to understand its structure, its gaps, what it can tell us - and connect that understanding to real outcomes for sites and patients.
- This role sits at the intersection of data science, product strategy, and ML: you'll lay the foundation for our predictive capabilities and shape what that function becomes.
- Stay close to the evolving ML and model landscape and bring a point of view on how new capabilities apply to our data and problems
- experience in data science, applied ML, or quantitative research, with significant time spent hands-on with data •
- Experience with healthcare data, clinical research, or life sciences
- experience designing and running experiments: you know how to structure a question, test it honestly, and draw conclusions that hold up
- Fluent in Python and SQL, comfortable working across the data stack from exploratory analysis through to production-ready pipelines •
- Experience working across data science, product, and engineering: you can influence what gets built, not just analyze what exists
- Knowledgeable about ML capabilities and frameworks, with the judgment to know when something is genuinely applicable versus hype
- Experience working at growth stage startups (strongly preferred) •
- Experience with medical imaging or video data
- Familiarity with clinical trial operations, disease classification, or patient identification problems •
- Experience building or defining the roadmap for an ML function from early stages
Experience
- Qualifications 5+ years of
Benefits
- A track record of data science work that directly changed product direction New York pay range $200,000 — $325,000 USD
Contact
- experience more accessible to you, please contact CandidateAccommodations@iterative.health.
Additional details
- Iterative Health is a healthcare technology and services company powering the acceleration of clinical research to transform patient outcomes.
- The Iterative Health Site Network is a premier network of 70+ clinical research sites across US and Europe accelerating the path to market for gastrointestinal (GI) and hepatology novel therapies.
- Our focus is on driving the success and growth of our partner sites by empowering them with tech-enabled services.
- Accelerating clinical research is one of the defining challenges in healthcare.
- Promising therapies exist that patients can't access because the operational infrastructure to run clinical trials efficiently doesn't exist yet. We're building it.
- That means designing technology systems that bring order to a fragmented landscape of clinical data sources, automating the operational work that slows trials down, and turning real-world clinical data into a foundation for predictive intelligence.
- We're looking for a Staff Data Scientist to be the person who understands our data deeply enough to know what's possible and curious enough to prove it.
- We have a truly unique data set within the industry, connecting clinical data (emr, endoscopic video, etc…) to trial data across 80+ trial sites.
- The landscape is evolving rapidly, and the right person will have a point of view on how to apply new capabilities to our specific data and problems as they emerge.You'll work hands-on with the data, structure experiments, evaluate what's modelable, and directly influence what we build and how.
- This is an opportunity for someone who wants to be part of a small, fast-moving engineering team at a formative stage. You'll shape what gets built, how decisions get made, and what the team becomes. Responsibilities