Post Doctoral Scholar - Biomedical Informatics

The Ohio State University Wexner Medical Center; Columbus (OH); On-site; USD 60,000 - 76,000; Full time

Job summary

The Ohio State University Wexner Medical Center in Columbus, OH invites applications for a Post Doctoral Scholar position in statistical genetics and genetic epidemiology. You will work under the Department of Biomedical Informatics with Dr.

Ying Wang, exploring genetic architecture of disease using large-scale genomic and longitudinal data. Responsibilities include leading analyses, collaborating on cross-biobank studies, and mentoring junior researchers while developing an independent research

Qualifications

• Demonstrated research experience in statistical genetics, genetic epidemiology, biostatistics, computational genomics, longitudinal data analysis, or a related quantitative field.
• Proficiency in R and/or Python and experience working in Unix/Linux computing environments.
• Experience managing and analyzing large genomic, epidemiologic, or clinical datasets.
• Strong written and oral communication skills; ability to work independently and collaboratively.
• Commitment to rigorous, reproducible research.

Responsibilities

• Investigate genetic architecture of disease onset, progression, multimorbidity, and clinical outcomes using large-scale genomic, EHR, and longitudinal cohort data.
• Lead projects and cross-biobank studies; potential to serve as primary analyst and lead author.
• Collaborate with investigators and mentors in project development, manuscript preparation, and grant writing.

Skills

Statistical genetics

Genetic epidemiology

R

Python

Longitudinal data analysis

Communication skills

Unix/Linux

Education

Doctoral degree in biostatistics or related quantitative discipline

Tools

Unix/Linux

Job description

The Post Doctoral Scholar will pursue advanced research training in statistical genetics, genetic epidemiology, and longitudinal biobank research. Under the mentorship of Dr. Ying Wang in the Department of Biomedical Informatics, the scholar will investigate the genetic architecture of disease onset, progression, multimorbidity, and clinical outcomes using large-scale genomic, electronic health record, and longitudinal cohort data. The position emphasizes rigorous statistical methodology, reproducible computation, and clinically meaningful research questions.

Research activities 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 data with longitudinal electronic health records. The scholar will have opportunities to lead projects using data from the Global Biobank Meta-Analysis Initiative, a collaboration involving more than 20 biobanks and more than 2.5 million participants, as well as other large-scale biobank resources. Depending on experience and project readiness, the scholar may serve as the primary analyst and lead author on cross-biobank studies.

The position provides opportunities to collaborate with investigators across the Global Biobank Meta-Analysis Initiative, The Ohio State University, and other national and international institutions. The scholar will receive mentorship in project development, manuscript preparation, scientific presentations, grant writing, and the development of an independent research program.

Minimum Education Required

Doctoral degree or equivalent terminal degree in biostatistics, statistical genetics, genetic epidemiology, bioinformatics, computational biology, biomedical informatics, epidemiology, or a related quantitative discipline.

Required Qualifications

Demonstrated research experience in statistical genetics, genetic epidemiology, biostatistics, computational genomics, longitudinal data analysis, or a related quantitative field; proficiency in R and/or Python and experience working in Unix/Linux computing environments; experience managing and analyzing large genomic, epidemiologic, or clinical datasets; strong written and oral communication skills; ability to work independently and collaboratively; and commitment to rigorous, reproducible research.

Preferred Qualifications

Experience with genome-wide or rare-variant association studies, survival analysis, longitudinal or multi-state modeling, polygenic risk scores, gene-environment interaction, electronic health record data, or large-scale biobank resources. Experience with high-performance computing, reproducible workflow development, scientific manuscript preparation, or collaborative consortium research is also desirable.

Thank you for your interest in working at Ohio State.

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.