Healthcare Data Scientist (RWD)

Medeloop is seeking a Healthcare Data Scientist to answer complex healthcare and biopharma questions using large-scale real-world data. This hands-on role involves collaboration with AI and product teams to design analyses and improve the platform's reasoning about healthcare data.

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 (SQL and Python; R also welcome) 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, reasoning carefully about bias and limitations
• Work directly with Medeloop's AI research agents, reviewing and challenging their analytical outputs, and partner with AI and product teams to improve how agents translate research questions into high-quality analyses
• Partner with customer institutions: scope their research questions, deliver evidence, drive adoption, and help expand how each institution uses Medeloop
• Communicate analyses, assumptions, and limitations clearly to internal teams, scientific stakeholders, and customers, translating technical findings into plain-language insight
• Help shape the analytical foundations and evaluation frameworks behind the next generation of AI-driven clinical research tools

Requirements:

• PhD, or a Master's degree minimum plus 5+ years of industry experience, in a quantitative-health field (biostatistics, epidemiology, clinical trials, public health, health informatics, or health economics)
• Strong grounding in real-world data/evidence (RWD/RWE) methodology, with domain experience in biostatistics, epidemiology, clinical trials, or public health
• Proven ability to answer complex clinical or biopharma questions using SQL and Python, plus statistical software (R and/or SAS)
• Experience with large healthcare datasets, such as claims or EHR data (clinical coding systems, ICD/CPT/RxNorm), assumed to come with an RWE background
• Track record of producing rigorous, research-grade analyses, reports, or publications; comfort working with messy, high-dimensional data
• AI/ML experience required, with clear evidence of hands-on use; comfortable reviewing code and reasoning about model outputs
• PhD preferred; strong industry experience can substitute for the doctorate
• Strong communicator; customer-facing experience preferred (trainable for the right analytical candidate)
• Experience working directly with customers and in a sales capacity
• Industry background strongly preferred over consulting (industry candidates preferred over consultants)