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, computer science, or a related field. Technical Skills: Proficiency in programming languages such as Python, R, and MATLAB. Experience with machine learning frameworks and bioinformatics tools. Research
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populations impacted by substance use/substance use disorders, HCV, HIV, and homelessness Proficiency in statistical software (e.g., R, SAS, STATA) and/or qualitative analysis tools (e.g., NVivo, Dedoose
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training in quantitative sciences Sound knowledge of statistics and R/ Bioconductor Experience with next-generation sequencing (NGS) data analysis Understanding of epigenome biology Solid programming skills
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thinking skills. Competence in data analysis and visualization using software such as GraphPad Prism, R, or Python. Excellent scientific writing and communication skills, with a track record of peer-reviewed
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score derivation and validation, and other relevant analyses. Develops R or Python scripts for data analysis, statistical modeling, and machine learning techniques, ensuring reproducibility and efficiency
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for scientific presentations using Power Point, R/Python and other graphics software as needed. Search literature for references to technical problems and keep informed by reading technical journal and
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innovative peer-reviewed research publications Mentor Postdocs through the grant development process, including applications for F, K, or R-series awards and other career development mechanism Required
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with Matlab, Python, and/or R programming languages is a plus. Knowledge, Skills and Attitudes: Skill in collecting, organizing, and analyzing data. Analysis of fMRI and MR spectroscopy data Acquiring
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required (e.g. proficiency in R, SAS, or SPSS). Knowledge, Skills and Attitudes: Ability to analyze a data set. Ability to create and conduct data analysis plans and interaction models. Skilled in writing