Research Associate - Biomedical Informatics

Research Associate - Biomedical Informatics

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. Working under the supervision of the principal investigator and senior research personnel, the Research Associate carries out defined analyses using established protocols and helps prepare analysis-ready datasets. Responsibilities include organizing approved research data; cleaning, harmonizing, and documenting genomic and phenotypic variables; implementing and testing R or Python scripts; and assisting with analyses of genome-wide association study (GWAS) summary statistics, polygenic scores, and clinical predictors. The incumbent 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 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.

Minimum Education & Experience Required

Bachelor's Degree or equivalent experience required; 3 years of relevant experience required with an associate's degree, or 1 year of relevant experience required with a bachelor's degree.

Preferred Qualifications

Master's degree in bioinformatics, biomedical informatics, computational biology, biostatistics, or a related field 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.

Additional Responsibilities

The Wu laboratory brings together computational genomics, biomedical informatics, biostatistics, and clinical research to improve osteoporosis and fracture-risk assessment. The Research Associate collaborates with faculty, analysts, and trainees and receives project-specific training in established research workflows.

Location: Lincoln Tower (0271)

Position Type: Regular

Scheduled Hours: 40

Shift: First Shift

Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process.

The university is an equal opportunity employer, including veterans and disability.