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PhD Tracks in Biomedical Informatics

The Department of Biomedical Informatics currently has two options for doctoral study at The Ohio State University. Both of our PhD programs are managed in conjunction with the Biomedical Sciences Graduate Program

The Biomedical Sciences Graduate Program was designed with the fundamental educational goals of providing students with two elements for success as researchers:

1) Intensive, broad-based education related to the mechanisms of human disease; and

2) In depth research with investigators at the forefront of science.

To that end, the details for the two tracks are listed below with their desired qualifications for admittance:

 

Computational Biology & Bioinformatics (CBB)

Translational Bioinformatics (TBI)

Faculty Contact for the CBB research area: Kevin Coombes, PhD​

Faculty Contact for the TBI track: Kevin Coombes, PhD​

Students can focus within any of the following areas for transcript designation in CBB:

1) Training in the processing, analysis, mining, and integration of data from multiple sources such as genomic sequencing, epigenetics studies, gene and protein expression profiling, radiological studies, microscopy imagery, electrophysiological experiments, and numerical simulation studies; 

2) Development of models to explain physiological and pathological processes; and/or

3) Development of database technology, data analysis techniques, high performance computing infrastructure, and systems software/middleware needed to carry out tasks associated with the aggregation and analysis of biomedical data, and needed to carry out biomedical simulations.

This Area of Research Emphasis will involve the integration of large-scale data analysis, management, processing, and visualization with biomedical informatics. We will engage trainees in a highly collaborative interdisciplinary research program on high throughput data analysis and integration for biomedical applications in high end computing environment. We will also provide access to a customized program of course work in biomedical informatics, computer science and in basic and translational biomedical sciences.

Translational Bioinformatics (TBI) is the sub-discipline of Biomedical Informatics concerned with the development of storage, analytic, and interpretive methods to optimize the transformation of increasingly voluminous biomedical and genomic data into proactive, predictive, preventive, and participatory health. Translational bioinformatics includes research on the development of novel techniques for the integration of biological and clinical data and the evolution of clinical informatics methodology to encompass biological observations. The end product of translational bioinformatics is newly found knowledge from these integrative efforts that can be disseminated to a variety of stakeholders, including biomedical scientists, clinicians, and patients.

TBI training necessitates access to a robust living laboratory of clinical and translational research activities, as well as the participation of faculty and technical staff with high-levels of expertise in TBI and related research domains. The Department of Biomedical Informatics is home to a rapidly expanding program of basic and applied biomedical informatics innovation, which is catalyzed by a wealth of driving biological and clinical problems generated by the living laboratory of comprehensive basic science and clinical units that make up OSUWMC; all of which uniquely position our department as a premier location to study TBI.

Students will engage in highly collaborative interdisciplinary research focusing in high throughput data analysis and integration for biomedical applications in high end computing environments. This will be accomplished through core coursework paired with a customized elective portfolio in the research fields of biomedical informatics, computer science, and basic and translational biomedical sciences.
Students will engage in highly collaborative interdisciplinary research focusing in using computational methodologies to join molecular, genetic, and cellular concepts to drugs, diseases, symptoms, and patients to ultimate increase P4 medicine (predictive, preventive, personalized and participatory). This will be accomplished through core coursework paired with a customized elective portfolio in the research fields of biomedical informatics, computer science, and basic and translational biomedical sciences.
CBB Curriculum Guide TBI Curriculum Guide

Desired Eligibility Requirements

Students should have a strong background in computer science and/or undergraduate majors in computer science, engineering, physics, chemistry, or biomedical engineering. 

Students with less experience in computer science are still encouraged to apply, but may need to take additional customized coursework in computer science to fill this gap in knowledge.

Grade Point Average: Undergraduate GPA of 3.0 or higher on a 4.0 scale (the average GPA of students accepted is a 3.55).

GRE: Verbal and Quantitative scores 60th-70th percentile or higher; Writing Score of 4.0 or higher. Your scores must be from the last 5 years. 

MCAT scores can potentially be used in place of the GRE if you are pursuing a dual MD/PhD program of coursework. Please contact us if you plan to use these tests in place of the GRE.

For International Students: At least 600 on the TOEFL-PBT; or 100 on the TOEFL-IBT; or 86 on the MELAB; or 8 on the IELTS. Your scores must be from the last 2 years.

Deadlines for Autumn 2017 Applications:

International candidates (not residing within the United States): November 01, 2016 
Domestic Applicants are encouraged to apply by: December 01, 2016
All Domestic Applicants and Foreign Nationals (currently residing within the United States): February 1, 2017

Please read these instructions​ before submitting your application.

Apply now.bmp 

 For more information on the CBB research specialization and TBI track, please contact Amy Lahmers and Kelli Kaiser at IBGP@osumc.edu.

Not the best fit? Check out our other educational opportunities.​

 

Have any questions?

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