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Details Title Postdoctoral Fellow, Digital, Data, and Design Institute - Digital Reskilling Lab School Harvard Business School Department/Area Position Description The Digital Reskilling Lab, led by
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large administrative or claims data (e.g., Medicaid, commercial claims, or similar) Clear scientific writing and communication; a track record of publications Special Instructions Please include: · CV
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position in biomedical informatics is available at Harvard Medical School to work at the intersection of advanced machine learning and large-scale biomedical data. The selected fellow will join a dynamic
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, machine learning and AI, statistical computing, big data and AI applications and prediction in biology, medicine and infectious diseases. Potential research projects include (but are not limited
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scalable bioinformatics pipelines on cloud-based infrastructure. The Research Fellow will be responsible for the code base supporting the large-scale genomic processing and analysis pipelines at the SMaHT
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molecular and phenotype data. Including code that is production-ready for dissemination to other laboratories and for diagnostic use, and the management of large-scale data. They will join a team of
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associate to work with Professor Christopher Kuzawa at Harvard University. The postdoc will oversee analysis and write up of an extensive longitudinal dataset that has followed a large population in Cebu
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, and statisticians—on projects that bridge methods, policy, and practice. This role will involve intensive analysis of claims data and related large administrative datasets to support policy-relevant
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is research excellence and fit with the lab’s focus. More information on the lab’s research is available here . We especially encourage candidates with proven experience in applying computational and
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Director of LISH (Dr. Ramona Pop). The position involves conducting rigorous empirical research using field experiments, large-scale data analysis, and computational methods to advance our understanding