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Details Title HMS - Postdoctoral Fellow in Health Care Policy - Statistical Methods School Harvard Medical School Department/Area Department of Health Care Policy Position Description The Department
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Details Title HMS - Postdoctoral Fellow in Health Care Policy - Statistical Methods School Harvard Medical School Department/Area Department of Health Care Policy Position Description The Department
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join a PCORI-funded project developing new methods to improve the transparency of individualized treatment effect prediction. The fellow will work under the mentorship of Dr. Alex Luedtke and collaborate
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position. We are most interested in applicants who have experience in computational methods development, in human genetics or a different field. Possible areas of research include: 1. Developing methods
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skills in quantitative methods and data analysis software, writing skills 2. Research experience in related areas 3. Demonstrated ability to work independently, under supervision, and as part of a team
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interaction in chemistry and in cellular signaling. We are also applying mathematical formalism to reason about functional organization in biology. We welcome applications from recent PhD graduates who bring a
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interpersonal and communication skills. While not a must, a strong background in computational methods and/or statistical methods is a plus. Special Instructions Applicants should submit a formal application and
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, using an array of methods including natural language processing and experiments. This is a two-year position (one-year contract renewable based on performance). The primary criterion for acceptance is
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position. We are most interested in applicants who have experience in computational methods development, in human genetics or a different field. Possible areas of research include: 1. Developing methods
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Genomics at Harvard Medical School Several positions are available in the Park Lab (https://compbio.hms.harvard.edu/ ). The aim of the laboratory is to develop and apply innovative computational methods