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, genetics, neuroscience, or biochemistry. Or, equivalent combination of education and experience. Strong computer skills with preferably some experience using graphing, image and statistical analysis programs
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to incorporate into study databases. Enacting statistical analysis plans, drafting tables, running models. Participate as a co-author in preparation of manuscripts and presentations reporting. Study Results
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, and plant biomass samples from the field, process them for analyses, run analyses, procure and organize research data, perform statistical analyses, and write brief study reports. Outstanding UA
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in research projects programming and utilizing survey software (e.g., REDCap, Qualtrics), statistical software (e.g., SAS, Stata, R), relational database management systems (e.g., Access, SQL), Windows
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using programming, data mining, statistics, machine-learning, and visualization techniques. Responsibilities include querying databases, data processing, supervised and unsupervised machine learning
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and presentations. This individual works as part of a team to compile and analyze information using a variety of statistical software applications. The position also performs additional related tasks as
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implementation of new bioinformatic and statistical analytical tools and pipelines for future microbiome related research projects. The successful applicant should have a strong expertise in bioinformatics
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of experience OR Masters Degree with 6+ years of experience OR PhD with 2+ years of experience • Degree preferably in engineering, economics, statistics, computer science, or related quantitative field
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on deliverables throughout the process Provide input for the design of the Statistical Analysis Plan (SAP) and the clinical data output Responsible for review of patient level data across a study and for
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duties will include collecting soil, water, and plant biomass samples from the field, process them for analyses, run analyses, procure and organize research data, perform statistical analyses, and write