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Field
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essential. Prior experience in informatics/programming (Python, R) or omics data analysis is not required but a strong interest in developing these skills is highly desirable. Starting salary will follow NIH
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- dimensional data. Strong programming skills (e.g., in Python or R) for handling large datasets and implementing models. A genuine curiosity about how knowledge is produced, shared, and applied across different
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conducting data analyses using R, STATA, or SAS • Ability to effectively work with community organizations, including clinical settings • Strong interpersonal and written and verbal communication skills
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analysis of high-dimensional data (e.g., single-cell RNA-seq, phylogenetics, spatial data). Experience in R or Python. Application instructions: Please send a CV and a brief cover letter describing your
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statistical software such as SAS, STATA, or R. Excellent verbal and written communication skills in English. Strong organizational abilities, creativity, attention to detail, enthusiasm for mentoring, and
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, deep learning, or statistical modeling. Demonstrated experience working with clinical, digital health, or related biomedical data. Proficiency in Python, R, or other scientific programming languages
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in MATLAB/Python/R are desirable but not required. The position is part of a well-funded research program and will provide the opportunity to produce high-impact publications and establish
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, biostatistics, biomedical informatics or related fields OR a PhD degree in biology or related fields. Preferred Qualifications: A strong background in programming (e.g., Python or R or C++) is essential. Research
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experience with spatiotemporal analysis using R, Python, and/or comparable computer programming languages. Presenting results at national conferences. Leading the development of manuscripts with the aim
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decision support systems. The candidate would also assist in writing python/R programming scripts to optimize processing time, making the current decision support systems more efficient and reliable