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experience with empirical research methods. Candidates with research experience are strongly preferred, especially those with programming experience in Stata, SAS, R, and/or Python. Candidates need not be
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with computational environments for ’omics data manipulation (command line, Python, R, etc.) * Deep knowledge in at least one relevant subdiscipline, i.e. bioinformatics, microbiology, microbial ecology
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. Processes, organizes and summarizes data, reporting results using a variety of scientific, word processing, spreadsheet or statistical software applications or program platforms including R, SAS, Python, and
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appointment). Strong background in statistical or machine learning methodology, optimization, or high-dimensional data analysis. Proficiency in R or Python; experience with deep learning, causal inference
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for analysis (e.g., text manipulation); One or more computational environments for statistical analysis (e.g., MATLAB, Stata, R, or Python); Creating and managing very large datasets; Managing and mentoring
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programming in Matlab or Python) is highly desirable, as is expertise in collecting field observations. Strong oral and written communication skills are expected. Special Instructions Applications should
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, math, statistics, and/or computer science Experience with programming, data science, and geospatial analysis (especially R, Stata, Julia, MATLAB, or Python) An enthusiasm for empirical research and an
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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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development. More information about the lab and specific research areas can be found at https://sites.harvard.edu/zheng/. We welcome applications from recent chemistry or chemical biology PhD graduates with
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determined by the number of years post PhD, can be found at https://postdoc.hms.harvard.edu/guidelines Minimum Number of References Required 1 Maximum Number of References Allowed 4 Keywords immunology