336 coding-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "L2CM" positions at Harvard University in United States
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. Develop software and data services with researchers to ensure that modern standards of reproducible code are kept. Job-Specific Responsibilities: We are looking for a highly skilled Bioinformatics Software
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from senior scientists who know your work. PLEASE NOTE- Applications MUST be submitted to the Harvard Academic Positions website in order to be considered. https://academicpositions.harvard.edu/postings
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computational approaches. See our lab web page (https://projects.iq.harvard.edu/gaudetlab ) for more information about our publications and research interests. Basic Qualifications Candidate must hold a PhD in
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Segel lab at Harvard’s Department of Stem Cell and Regenerative Biology (https://hscrb.harvard.edu/labs/segel-lab/ ) explores the biology of aging through the lens of developmental timing and lifespan
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determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . Create a Job Match for Similar Jobs About Harvard University Harvard University is devoted
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scientists, engineers, and/or doctors! The lab is committed to fostering lifelong learners in an environment that is diverse, inclusive and respectful. Learn more about our lab here: https
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and Benefits This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https
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Studies on Air Pollution and Health group (https://www.hsph.harvard.edu/nsaph/). The position will be under the supervision of Principal Research Scientist, Dr. Danielle Braun, in Biostatistics. Job
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about the lab, please visit https://www.hsph.harvard.edu/onnela-lab/ . Contact Information Hassan Dawood Contact Email hdawood@hsph.harvard.edu Salary Range $75,000/year Minimum Number of References
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members focused on a variety of research methodologies, such as: experimental design, analysis, coding, IRB, and data analysis in topics ranging from digital reskilling to marketing focused research in