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application to lineage tracing Algorithms for characterizing structural alterations in bulk and single cell whole-genome data Mutational signature analysis for cancer/brain samples Analysis of repetitive
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of design and innovation on value creation for stakeholders. For more information on D^3/LISH , please visit https://d3.harvard.edu and https://d3.harvard.edu/lish/ . Research Focus: Postdoctoral Fellows
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Data Analysis Center that manages multi-omic data (e.g., Illumina/PacBio/ONT Whole Genome Sequencing (WGS), RNA-Seq). The ideal candidate will have a deep understanding of next-generation sequencing (NGS
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, serous tubal intraepithelial carcinoma, in human patients. Additional information on this topic can be found at Kader, Santagata et al (2025) https://doi.org/10.1158/2159-8290.cd-24-1366 . In
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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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Qualifications: Exceptional programming and analytical skills (including R, Python, and SAS or Stata Demonstrated expertise in analysis of claims data Clear scientific writing and communication, an ability to work
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eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines. With this appointment
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technologies and computational data analysis preferred. Strong publication record and evidence of research independence. Excellent communication, teamwork, and problem-solving skills. Additional Qualifications
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the project directors and collaborators to develop data-driven and economically grounded frameworks for understanding how AI-enabled control, optimization, and market design can support large-scale
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such as Data Science, Statistics, Computer Science, Epidemiology, Environmental Health, or a related field. Demonstrated expertise in large scale analysis and familiarity with health-related datasets