Healthcare Head, Data Scientist

Head Of Real-World Evidence

Alzheon, Inc. is a clinical-stage biopharmaceutical company developing a broad portfolio of product candidates and diagnostic assays for patients suffering from Alzheimer's disease and other neurodegenerative disorders. We are committed to developing innovative medicines by directly addressing the underlying pathology of devastating neurodegenerative disorders. Our lead Alzheimer's clinical candidate, ALZ-801, is an oral agent in Phase 3 development as a potentially disease modifying treatment for AD.

ALZ-801 is an oral small molecule that fully blocks formation of neurotoxic soluble amyloid oligomers in the brain. Our clinical expertise and technology platform are focused on developing drug candidates and diagnostic assays using a precision medicine approach based on individual genetic and biomarker information to advance therapies with the greatest impact for patients.

Our experienced and passionate drug development team is focused on applying precision medicine, cutting-edge disease biomarkers, brain imaging and unique biologic insights to advance therapies with the greatest impact for patients. We are seeking individuals with an entrepreneurial spirit to join our team and help make the first oral Alzheimer's disease-modifying therapy a reality for patients and their families, in a few short years.

Alzheon is seeking a Head of Real-World Evidence to build and lead the company's RWE function. This individual will define the evidence strategy that complements our clinical development program, translating external data sources such as administrative claims, electronic health records, registries, and natural history cohorts into evidence that supports regulatory interactions, payer decisions, and clinical practice in Alzheimer's disease.

The role sits at the intersection of epidemiology, biostatistics, and market access, and carries responsibility for study design, execution through external partners, publication, and the scientific credibility of everything the function produces. It is a hands-on leadership position. The successful candidate will set strategy, but will also read the protocols, review the analytic specifications, and defend the methods in front of regulators, payers, and peer reviewers.

Key Responsibilities

• Define and own the real-world evidence strategy across the portfolio, aligned with clinical development, regulatory, medical affairs, and market access priorities
• Design and oversee observational research, including natural history studies, external control arms, disease burden and treatment pattern analyses, and comparative effectiveness studies
• Evaluate, license, and govern external data assets, including claims databases, electronic health records, disease registries, and linked biomarker or neuroimaging datasets, and assess their fitness for purpose before committing to a study
• Develop protocols, statistical analysis plans, and study reports that meet regulatory expectations for real-world data, including FDA and EMA guidance on RWE and target trial emulation principles
• Partner with health economics and market access colleagues on economic models, budget impact analyses, and payer evidence dossiers
• Lead publication planning for RWE deliverables and present findings at scientific congresses and in peer-reviewed journals
• Select and manage external vendors, academic collaborators, and CROs, holding them to timeline, budget, and methodological standards
• Grow the function over time, including hiring and mentoring epidemiologists, data scientists, and analysts as the portfolio expands

Requirements

• Master's degree minimum in Epidemiology, Biostatistics, Public Health, Health Services Research, or a related quantitative discipline; MPH, DrPH, or PhD strongly preferred
• 10+ years of experience in real-world evidence, pharmacoepidemiology, or outcomes research within biopharma, a CRO, an academic research center, or a payer organization
• Demonstrated ownership of observational studies end to end, from question formulation and protocol through analysis, interpretation, and publication
• Working command of causal inference methods for observational data, including…