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opportunity to develop innovative statistical methods in clinical trial design and variable selection methods in high dimensional data that will predict clinical outcomes and meta-analyses. The successful
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, Brown University, and Eli Lilly & Company. Under the guidance of the PIs, co-investigators, and collaborators, the Postdoc Associate will be responsible for developing new statistical methods to empower
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large datasets of dynamic complexes imaged by modern high-throughput workflows for in-situ cellular tomography. Development will be carried out within our open-source web-based platform, nextPYP (Liu et
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Policy Research Assistant Hybrid (Washington, DC or Durham, NC) Margolis Institute for Health Policy
reviews, contributing to a range of written deliverable types (e.g., policy briefs, white papers, blog posts, peer-reviewed publications), and supporting Institute events and convening. This will include