[relevant topics: Statistical Methods for Computational Biology, Single-cell Genomics]
Description: A laboratory at the newly-formed Department of Biomedical Informatics at the Harvard Medical School (HMS) is looking to recruit a postdoctoral fellow interested in developing novel statistical approaches to analysis of single-cell genomic data, computational modeling of cellular processes, and their application to studies of both healthy and diseased tissues. The research questions are being pursued in close cooperation with expert bench-side laboratories, providing an excellent opportunity to work on statistical and computational methods in a context of cutting-edge biological investigations. Please see http://pklab.med.harvard.edu/ for additional information about the laboratory. Particular emphasis is on the development and application of sparse graphical models, probabilistic analysis of phylogenies, and advanced machine-learning techniques for processing of noisy/heterogeneous data. PhD in Statistics, Computational Biology, Computer Science, or a related discipline is required. A good record of publications in the field is desired. How to apply: Please send cover letter, curriculum vitae and contact information for at least two references to Peter Kharchenko at [email protected]. Applications will be considered until the positions are filled. Employer: Department of Biomedical Informatics has been recently formed at the Harvard Medical School to lead development of computational and informatics techniques to address pertinent challenges in modern biological sciences and medicine. The Department’s faculty conduct research at the intersection of biomedicine and information sciences, including bioinformatics, functional genomics, translational medicine, and clinical knowledge management. The Department also hosts the Bioinformatics & Integrative Genomics PhD program (sponsored by NHGRI) and the Biomedical Informatics Masters program. Harvard Medical School is an Equal Opportunity/Affirmative Action Employer. Women and minorities are especially encouraged to apply.
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