Senior Data Scientist

What if the models you built directly influenced whether a patient found the right clinical trial?

Harnham is partnered with a fast-growing healthcare technology company hiring multiple Senior Data Scientists to build production machine learning solutions that improve how patients are matched to clinical research opportunities.

This is a hands-on role with genuine end-to-end ownership. You’ll work closely with Product and Engineering to take complex healthcare problems from initial idea through modeling, deployment, monitoring, and measurable real-world impact.

• Build and deploy predictive models that improve patient matching and engagement
• Develop recommendation systems and forecasting models
• Design experiments and apply statistical methods to measure impact
• Identify high-value Data Science opportunities alongside Product and Engineering
• Own models through deployment, monitoring, and continuous improvement
• Translate complex analytical findings into clear product and business recommendations

• 5+ years of hands-on Data Science experience
• Strong Python and SQL
• Experience building and deploying predictive ML models into production
• Strong foundation in statistical modeling and experimentation
• Experience solving ambiguous problems from initial framing through delivery
• Ability to communicate technical concepts effectively to cross-functional stakeholders

• Healthcare, life sciences, biotech, pharma, health insurance, or other regulated industry experience
• Experience with causal inference, recommendation systems, forecasting, or Bayesian methods
• Experience in a startup or scale-up environment
• Familiarity with cloud platforms and modern ML tooling

• Up to $190,000 base salary
• Fully remote within the US (EST)
• Multiple Senior Data Scientist hires
• Direct impact on patient access to clinical research
• End-to-end ownership of production ML initiatives
• Work closely with experienced Product, Engineering, and Data Science leaders
• Join a growing business making significant investments in Data Science