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The Ohio State University
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Research Associate - Biomedical Informatics The Ohio State University in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Available
Country
United States
University
The Ohio State University
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About this position
The Department of Biomedical Informatics in the College of Medicine at The Ohio State University is seeking a Research Associate to support computational research in Dr. Qing Wu’s laboratory.
The role is centered on integrating genomic and clinical data with biostatistical and machine-learning methods to study osteoporosis, bone mineral density, physical function, and fracture risk. The successful candidate will work within an established research environment focused on reproducible analysis and approved computing workflows, supporting defined analyses and preparation of analysis-ready datasets.
The position involves organizing approved research data, cleaning and harmonizing genomic and phenotypic variables, implementing and testing R or Python scripts, and assisting with analyses of GWAS summary statistics, polygenic scores, and clinical predictors. The Research Associate will also help maintain data dictionaries, version-controlled code, and execution logs, while preparing tables, figures, literature reviews, methods documentation, manuscripts, presentations, and grant-related research summaries.
The Wu laboratory brings together computational genomics, biomedical informatics, biostatistics, and clinical research, and the post includes project-specific training and collaboration with faculty, analysts, and trainees.
Funding details
Available
What's required
Bachelor's degree or equivalent experience is required; alternatively, 3 years of relevant experience is required with an associate’s degree or 1 year of relevant experience with a bachelor’s degree. A master's degree in bioinformatics, biomedical informatics, computational biology, biostatistics, or a related field is preferred. Experience with R or Python for genomic, transcriptomic, or other biomedical data analysis, including data cleaning, visualization, and reproducible workflows, is desired. Familiarity with version control and quality-control testing, and exposure to GWAS summary statistics, polygenic scores, or predictive modeling, are desirable. Clear scientific communication and careful documentation are valued.
How to apply
Apply through the Ohio State Workday application link. Make sure your candidate profile is up to date and have all required documents ready before submitting. Current employees and students should use the internal application process.
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Review drafts and confirm requirements with the university.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.