Senior Data Scientist (Real-World Evidence, Healthcare, Pharma)

Medeloop is seeking an RWE Analyst / Senior Data Scientist to answer complex healthcare and biopharma questions using large-scale real-world data. In this role, you will design and execute rigorous analyses across claims and EHR data to evaluate treatment patterns, utilization, and outcomes, producing evidence that directly supports clinical research, drug development, and health equity initiatives.
You will work closely with Medeloop’s AI research and product teams, applying your domain expertise to evaluate, guide, and advance our clinical research agents using high-quality real-world evidence. This is a hands-on, technical role centered on analytical reasoning, statistical judgment, and high-impact problem solving, where your work directly shapes how AI systems reason about healthcare and biopharma data at scale. The ideal candidate enjoys translating ambiguous scientific questions into well-designed analyses, writing clean, scalable code, and helping to shape how AI systems reason about healthcare data at scale.

Role and Responsibilities:

• Build and execute real-world evidence analyses to answer complex healthcare and biopharma questions using large-scale claims and EHR data.


• Write high-quality, scalable code to define cohorts, model patient journeys, and generate rigorous, reproducible research outputs.


• Apply clinical and statistical judgment to evaluate treatment patterns, utilization, and outcomes in observational data.


• Work directly with Medeloop’s AI research agents, reviewing and challenging their analytical outputs to improve scientific reasoning and reliability.


• Partner closely with AI and product teams to systematically improve how Medeloop’s agents translate research questions into high-quality analyses.


• Help shape the analytical foundations and evaluation frameworks behind the next generation of AI-driven clinical research tools.

Requirements:

• Strong grounding in biostatistics, health informatics, and applied data analysis for real-world healthcare data.


• Proven ability to answer complex clinical or biopharma questions using Python and SQL.


• Experience working with large healthcare datasets such as claims or EHR data.


• Track record of producing rigorous, research-grade analyses, reports, or publications.


• Experience working with messy, high-dimensional data and reasoning about bias and limitations.


• Bonus: experience with PySpark or other distributed data systems.