Healthcare Data Scientist (RWD)

<p>We are seeking a Healthcare Data Scientist (Real-World Evidence) to answer complex healthcare and biopharma questions using large-scale real-world data and help shape the next generation of AI-powered clinical research. This is a hands-on role that combines rigorous real-world evidence analysis with deep collaboration across product, AI, and customer teams.</p> <p>Internally, you will partner closely with Medeloop's AI research and product teams to design and execute real-world evidence analyses, evaluate the performance of our clinical research agents, and apply your scientific expertise to improve how our platform reasons about healthcare data.&nbsp;Externally, you will serve as an embedded data scientist for our partner institutions, working directly with clinicians, researchers, and life sciences organizations to scope research questions, deliver high-quality evidence, drive adoption of the platform, and expand each customer's use of Medeloop over time. This is a highly technical role centered on analytical reasoning, statistical rigor, and scientific problem-solving. Your work will directly influence both the intelligence of our AI systems and the real-world impact they create for healthcare and life sciences organizations.</p> <p><strong>Role &amp; Responsibilities</strong></p> <ul> <li>Build and execute real-world evidence analyses to answer complex healthcare and biopharma questions using large-scale claims and EHR data.</li> <li>Write high-quality, scalable code (SQL and Python; R also welcome) to define cohorts, model patient journeys, and generate rigorous, reproducible research outputs.</li> <li>Apply clinical and statistical judgment to evaluate treatment patterns, utilization, and outcomes in observational data, reasoning carefully about bias and limitations.</li> <li>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.</li> <li>Partner with customer institutions: scope their research questions, deliver evidence, drive adoption, and help expand how each institution uses Medeloop.</li> <li>Communicate analyses, assumptions, and limitations clearly to internal teams, scientific stakeholders, and customers, translating technical findings into plain-language insight.</li> <li>Help shape the analytical foundations and evaluation frameworks behind the next generation of AI-driven clinical research tools.</li> </ul> <h3><strong>Requirements</strong></h3> <ul> <li>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). PhD preferred; strong industry experience can substitute for the doctorate.</li> <li>Strong grounding in real-world data/evidence (RWD/RWE) methodology, with domain experience in biostatistics, epidemiology, clinical trials, or public health.</li> <li>Proven ability to answer complex clinical or biopharma questions using SQL and Python, plus statistical software (R and/or SAS).</li> <li>Experience with large healthcare datasets, such as claims or EHR data (clinical coding systems, ICD/CPT/RxNorm), assumed to come with an RWE background.</li> <li>Track record of producing rigorous, research-grade analyses, reports, or publications; comfort working with messy, high-dimensional data.</li> <li>AI/ML experience required, with clear evidence of hands-on use; comfortable reviewing code and reasoning about model outputs.</li> <li>Strong communicator; customer-facing experience preferred (trainable for the right analytical candidate).</li> </ul> <h3><strong>Nice to Have</strong></h3> <ul> <li>Experience working directly with customers and in a sales capacity.</li> <li>Industry background strongly preferred over consulting (industry candidates preferred over consultants).</li> </ul>