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, qualitative methods, big data analytics, and health campaign formative and evaluation research are preferred. Candidates from diverse backgrounds, including those from groups that are underrepresented in
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sensing, computer vision, mental health, data fusion, computational medicine, predictive analytics, big data, neuroscience, and related fields. AI + Life Sciences: Participate in research projects that
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RWE/HEOR, with experience in integrated evidence generation plan (IEGP) development, RWE generation, HEOR strategy and analytics, health technology assessment, value dossier development, and payer
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· Collaborate extensively with cross functional partners, including Medical Affairs, Legal, Regulatory, Patient Services, Market Access, Data & Analytics, Market Insights, Competitive