The Ohio State University Wexner Medical Center
Post Doc Scholar
The Ohio State University Wexner Medical Center, Columbus, Ohio, United States, 43224
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Post Doc Scholar
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The Ohio State University Wexner Medical Center We are seeking a highly motivated Research Post-Doctoral Fellow with strong skills in Genetic Epidemiology/Statistical Genetics to join our team. Our mission is to advance the understanding of the genetic architecture of complex human diseases and traits, enhance our ability to predict disease, target prevention efforts in high-risk individuals, and tailor treatments based on individual genomic differences. The post-doctoral fellow will work on large-scale genetic data analysis, genetic risk prediction, multi-omics, and the implementation of machine learning/AI methods for studying complex human diseases, such as glaucoma and retinal diseases. The candidate will have the opportunity to lead research projects, write manuscripts, and present research results at international conferences Requirements include a Ph.D. degree in genetic epidemiology, statistical genetics, bioinformatics, biostatistics, or a closely related quantitative field. Strong data analytic and programming skills in Python and/or R. Proficiency in Unix/Linux systems. Excellent writing and communication skills. The university is an equal opportunity employer, including veterans and disability. Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process.
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Post Doc Scholar
role at
The Ohio State University Wexner Medical Center We are seeking a highly motivated Research Post-Doctoral Fellow with strong skills in Genetic Epidemiology/Statistical Genetics to join our team. Our mission is to advance the understanding of the genetic architecture of complex human diseases and traits, enhance our ability to predict disease, target prevention efforts in high-risk individuals, and tailor treatments based on individual genomic differences. The post-doctoral fellow will work on large-scale genetic data analysis, genetic risk prediction, multi-omics, and the implementation of machine learning/AI methods for studying complex human diseases, such as glaucoma and retinal diseases. The candidate will have the opportunity to lead research projects, write manuscripts, and present research results at international conferences Requirements include a Ph.D. degree in genetic epidemiology, statistical genetics, bioinformatics, biostatistics, or a closely related quantitative field. Strong data analytic and programming skills in Python and/or R. Proficiency in Unix/Linux systems. Excellent writing and communication skills. The university is an equal opportunity employer, including veterans and disability. Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process.
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