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Tenure-track Faculty
The Ohio State University

Company Information: The Ohio State University
College of Medicine
Department of Biomedical Informatics

Position Title: Tenure-track Faculty

Duties and Responsibilities: The Department of Biomedical Informatics (BMI, at The Ohio State University (OSU) currently has multiple opportunities for tenure-track faculty with research interests related to Biomedical Informatics, including clinical informatics, research informatics, public health informatics and translational bioinformatics.

As part of the College of Medicine at the Ohio State Wexner Medical Center (OSUWMC,, the Department of Biomedical Informatics is the academic home for informatics research, development and training at Ohio State. Faculty interests span multiple domains including: high performance computing, bioinformatics, computational biology, translational bioinformatics, and clinical informatics. BMI Faculty have ongoing collaborations with faculty in departments throughout the University and nationally. The Ohio State University is one of the nation’s largest integrated health sciences campuses, with access to a CTSA-funded Center for Clinical and Translational Science and new, state-of-the-art 1 million square foot, NCI-designated Comprehensive Cancer Center. Faculty and staff in BMI can leverage an advanced information systems environment including inpatient and outpatient electronic health records, data warehousing platforms, and a variety of enterprise research information systems. Through a partnership with the Ohio Supercomputer Center (OSC,, BMI faculty have access to high-performance computing and data management facilities for both clinical and bio-molecular data.

Position Qualifications: We are specifically seeking candidates with experience and interests in one or more of the following areas:
• The discovery, collection, integration, storage, and retrieval of complex data sets in support of clinical and translational research programs;
• The translation of informatics discoveries into clinical practice through collaboration with IT;
• The application of network analysis, hypothesis discovery, natural language processing tools, and data mining methods to heterogeneous biomedical data sets;
• Risk modeling and profiling in diverse disease states and patient cohorts;
• The use of semantic web technologies in biomedical application domains;
• The use of natural language process and text mining tools to extract biological knowledge from domain literature;
• Visualization of multi-dimensional data sets;
• The analysis of linkages between bio-molecular and clinical data sets and models in order to inform hypothesis generation and in-silico knowledge synthesis.

Salary Range:



Application Information: Applications: The successful applicant will have an MD and/or PhD in biomedical informatics, computer science, computational biology, or a related discipline. To apply, please e-mail a cover letter, a full CV, including publications and funding records; detailed plans for research and educational programs; the names of three references; and, two representative publications to: PDF submissions are preferred. Evaluation of applications is underway and will continue until positions are filled.

Contact Email:

Application Deadline: 09/30/2017