Research Associate - Biomedical Informatics
About The Position
The Department of Biomedical Informatics in the College of Medicine at The Ohio State University seeks a Research Associate to support computational research in Dr. Qing Wu's laboratory. The laboratory integrates genomic and clinical data with biostatistical and machine-learning methods to study osteoporosis, bone mineral density, physical function, and fracture risk. The Research Associate works under the supervision of the principal investigator and senior research personnel, carrying out defined analyses using established protocols and helping prepare analysis-ready datasets. The role includes organizing approved research data; cleaning, harmonizing, and documenting 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 position applies prespecified quality-control procedures, maintains data dictionaries, version-controlled code and execution logs, prepares tables and figures, and summarizes results and limitations for review. The Research Associate also assists with literature reviews, methods documentation, manuscripts, presentations, and grant-related research summaries. The position supports reproducible analysis in approved computing environments, follows applicable data-use and confidentiality requirements, and reports discrepancies to the research team for resolution. The Research Associate collaborates with faculty, analysts, and trainees and receives project-specific training in established research workflows. The position is located at Lincoln Tower, is regular, has 40 scheduled hours, and is on first shift.
Requirements
- Bachelor's degree or equivalent experience required.
- Three years of relevant experience required with an associate's degree, or one year of relevant experience required with a bachelor's degree.
Nice To Haves
- Master's degree in bioinformatics, biomedical informatics, computational biology, biostatistics, or a related field.
- Experience with R or Python for genomic, transcriptomic, or other biomedical data analysis, including data cleaning, visualization, and reproducible workflows.
- Familiarity with version control and quality-control testing.
- Exposure to GWAS summary statistics, polygenic scores, or predictive modeling.
- Clear scientific communication and careful documentation.
Responsibilities
- Organize approved research data.
- Clean, harmonize, and document genomic and phenotypic variables.
- Implement and test R or Python scripts.
- Assist with analyses of genome-wide association study (GWAS) summary statistics, polygenic scores, and clinical predictors.
- Apply prespecified quality-control procedures.
- Maintain data dictionaries, version-controlled code, and execution logs.
- Prepare tables and figures, and summarize results and limitations for review.
- Assist with literature reviews, methods documentation, manuscripts, presentations, and grant-related research summaries.
- Support reproducible analysis in approved computing environments.
- Follow applicable data-use and confidentiality requirements.
- Report discrepancies to the research team for resolution.
- Collaborate with faculty, analysts, and trainees.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
