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Ohio State University

Post Doctoral Scholar in Biomedical Informatics, Statistical Genetics, and Biobank Research The Ohio State University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full-time term postdoctoral scholar position with comprehensive employee benefits. The posting highlights standard Ohio State benefits including medical, dental, and vision coverage, paid time off, and retirement plan options. No stipend amount is listed.

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Country

United States

University

Ohio State University

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Keywords

Computer Science
Biostatistics
Biology
Computational Biology
Medical Science
Salud Pública
Genetic Epidemiology
Biobanking
Genomic
Statistics
Bioinformatic
Electronic Health Record

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About this position

Post Doctoral Scholar - Biomedical Informatics at The Ohio State University

This is a full-time postdoctoral research opportunity in the Department of Medicine, Division of Biomedical Informatics, located on the Columbus Campus at The Ohio State University. The scholar will work under the mentorship of Dr. Ying Wang on advanced research training in statistical genetics, genetic epidemiology, and longitudinal biobank research.

The project focuses on the genetic architecture of disease onset, progression, multimorbidity, and clinical outcomes using large-scale genomic data, electronic health records, and longitudinal cohort resources. Research directions may include common- and rare-variant association studies, survival and longitudinal analysis, multi-state disease modeling, polygenic risk prediction, gene-environment interaction, cross-population analysis, and integration of genomic and EHR data.

The postdoc will also have opportunities to work with the Global Biobank Meta-Analysis Initiative and collaborate with investigators across The Ohio State University and other national and international institutions. Depending on experience and project readiness, the scholar may lead projects and serve as primary analyst and lead author on cross-biobank studies.

Eligibility highlights include a doctoral degree in a relevant quantitative discipline such as biostatistics, statistical genetics, bioinformatics, computational biology, biomedical informatics, or epidemiology. Applicants should have strong experience with statistical genomics or related quantitative methods, proficiency in R and/or Python, Unix/Linux computing experience, and the ability to handle large genomic or clinical datasets. Preferred experience includes genome-wide or rare-variant studies, survival analysis, multi-state modeling, polygenic risk scores, high-performance computing, reproducible workflows, and collaborative consortium research.

This position provides mentorship in project development, manuscript preparation, scientific presentations, grant writing, and building an independent research program. The role is a term (fixed-term) appointment and includes comprehensive employee benefits. No application deadline is stated in the posting.

To apply, submit your application through the Ohio State Workday careers portal using the official posting link. Current Ohio State employees and students must use the internal Workday process.

Funding details

Full-time term postdoctoral scholar position with comprehensive employee benefits. The posting highlights standard Ohio State benefits including medical, dental, and vision coverage, paid time off, and retirement plan options. No stipend amount is listed.

What's required

Applicants must hold a doctoral degree or equivalent terminal degree in biostatistics, statistical genetics, genetic epidemiology, bioinformatics, computational biology, biomedical informatics, epidemiology, or a related quantitative discipline. Required experience includes statistical genetics, genetic epidemiology, biostatistics, computational genomics, longitudinal data analysis, or a related quantitative field; proficiency in R and/or Python; experience with Unix/Linux computing environments; experience managing and analyzing large genomic, epidemiologic, or clinical datasets; strong written and oral communication skills; the ability to work independently and collaboratively; and a commitment to rigorous, reproducible research. Preferred experience includes genome-wide or rare-variant association studies, survival analysis, longitudinal or multi-state modeling, polygenic risk scores, gene-environment interaction, EHR data, large-scale biobank resources, high-performance computing, reproducible workflows, manuscript preparation, or collaborative consortium research.

How to apply

Apply through the Ohio State Workday careers portal using the posting link. Prepare the required application materials and submit them online. Current Ohio State employees or students should use the internal Workday application process.

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