Staff Data Scientist

Iterative Health is a healthcare technology and services company powering the acceleration of clinical research to transform patient outcomes.

We built a leading performance-driven network of 100 sites across the US Europe India and Australia conducting research directly in the communities where care is delivered across gastrointestinal hepatology obesity and cardiology. By combining deep clinical trial expertise with cutting-edge AI we connect sponsors scientific ambitions with high-performing research teams that expedite and expand access to novel therapeutics for patients in need. Today Iterative Health is headquartered in Cambridge Massachusetts and New York City with 250 employees world-wide.

About the Role

Accelerating clinical research is one of the defining challenges in healthcare. Promising therapies exist that patients cant access because the operational infrastructure to run clinical trials efficiently doesnt exist yet. Were 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.

Were looking for a Staff Data Scientist to be the person who understands our data deeply enough to know whats 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. Were 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. 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 work hands-on with the data structure experiments evaluate whats modelable and directly influence what we build and how. This role sits at the intersection of data science product strategy and ML: youll lay the foundation for our predictive capabilities and shape what that function becomes.

This is an opportunity for someone who wants to be part of a small fast-moving engineering team at a formative stage. Youll shape what gets built how decisions get made and what the team becomes.

Responsibilities

• Work with clinical video and clinical trial operational data to understand whats there whats meaningful and how we can use it to drive a more efficient clinical trial system
• Design and run experiments that determine whats worth building
• 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
• Define the path from raw data to product and operationalization: what to model how to evaluate it and when its ready to ship
• Partner with product and engineering to translate findings into concrete product decisions
• Identify opportunities where our data creates unique predictive advantages
• Evaluate where we should build where we should partner and where existing approaches fall short
• Help shape the engineering culture of a small growing team: how technical decisions get made how problems get debated what rigor looks like in practice

What Were Looking For

Required Qualifications

• 5 years of 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
• A deep curiosity to understand data and connect it to the real world
• Deep experience designing and running experiments: you know how to structure a question test it honestly and draw conclusions that hold up
• Strong statistical foundations and the judgment to know when a result is meaningful versus interesting
• 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
• Have worked with complex messy real-world data and know how to make it useful without pretending its clean
• Knowledgeable about ML capabilities and frameworks with the judgment to know when something is genuinely applicable versus hype
• Can communicate findings clearly to technical and non-technical audiences and make a persuasive case for what to build next

Preferred Qualifications

• 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
  • A track record of data science work that directly changed product direction

At Iterative Health were actively working towards creating an environment that is representative of the diversity of patients our technology serves. We are focused on building an equitable and inclusive culture and by extension hiring process. If you require any accommodations to make the application process or interviewing experience more accessible to you please contact