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existing ones in binary, continuous, and time-to-event outcomes. The Postdoc Associate will help develop R/SAS software for the proposed statistical methods and also work closely with all project
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methods to compare the new designs and techniques with existing ones in binary, continuous, and time-to-event outcomes. The Postdoc Associate will help develop R/SAS software for the proposed statistical
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about new methods, is a plus. Strong programming skills in Python or R, and Linux Shell; experience in genomics data processing and open source repositories e.g. GitHub is a plus. Strong motivation and
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statistical methods; and experience in analyzing clinical trials data. The applicant must have excellent communication skills (verbal and written), strong programming skills in R with proficiency in UNIX/Linux
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experience in analyzing clinical trials data. The applicant must have excellent communication skills (verbal and written), strong programming skills in R with proficiency in UNIX/Linux system. For the meta
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Science, Geography, or a related field. We are looking for candidates with a strong interest in ecology and quantitative modeling, along with training in programming languages such as R, Python, and/or MATLAB
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of epidemiological methods and study design Strong experience in statistical genetics, omics technologies and their data analysis Proficiency in programming language (e.g., R, Python), statistical software (e.g. SAS
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research, and molecular epidemiology. Good communication skills and teamwork are essential, as is advanced ability with programming, preferably R. Duke University provides an annual base salary range
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analysis in R is desired. Experience conducting fieldwork and/or with ethnographic methods. Duke is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without