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Department: Medicine | Biomedical Informatics The Post Doctoral Scholar will pursue advanced research training in statistical genetics, genetic epidemiology, and longitudinal biobank research. Under
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, including annotated electronic resources and application of statistical analysis and bioinformatic pipelines. The candidate will be expected to contribute to other group activities, such as, but not limited
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). The postdoctoral scholar will be responsible for leading bioinformatics and statistical analyses of research data, participating in biological sample collection and field surveillance activities, and maintaining
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with statistical analyses, and interpretation of research findings Coordinate clinical trial activities, including protocol implementation, regulatory compliance, and data quality assurance Prepare
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data analysis (e.g., MRI preprocessing, statistical modeling, familiarity with tools such as FSL, SPM, AFNI, or similar platforms). Proficiency in statistical programming (e.g., R, Python, MATLAB
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background in experimental design, data analysis, and scientific writing. Proficiency in statistical software (e.g., R, SPSS, Python) and survey tools (e.g., Qualtrics). Ability to work independently and
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the start date of the appointment. Demonstrated expertise in quantitative data analysis, including advanced statistical modeling (e.g., mixed-effects models, longitudinal analyses, mediation/moderation
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, psychology, applied mathematics, or a related field. Applicants must demonstrate strong research skills, experience with quantitative data analysis and statistical methods, and excellent written and verbal
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in life cycle analysis for separation science are required. Desired: Research interest in statistical data analysis is desired. Strong software skills in Excel and Minitab or other statistical
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for this Postdoctoral Scholar position, candidates must possess a Ph.D. in Neuroscience or relevant field requires applicants to demonstrate strong research skills, data analysis proficiency, and statistical expertise