Faculty Positions

The Department of Biomedical Informatics (BMI) and Center for Biostatistics (CFB) at The Ohio State University (Ohio State) currently have opportunities for open-rank faculty at the assistant, associate, and full professor levels with research interests related to biostatistics. We are specifically seeking candidates with experience and interests in population sciences, clinical trials, Bayesian statistics, causal inference, statistical learning, high-dimensional data and/or electronic medical records.

Open Faculty Search - Tenure Track - Biomedical Informatics

The Department of Biomedical Informatics (BMI, http://bmi.osu.edu) at The Ohio State University (OSU) currently has opportunities for tenure-track faculty at the Assistant, Associate, and Full Professor levels with research interests related to BMI. Recruited faculty will join a highly collaborative community of more than thirty investigators working in a wide variety of BMI sub-domains including bioinformatics, biostatistics, artificial intelligence/machine learning (AI/ML) in digital health, clinical informatics, and implementation science, among others. Successful candidates will maintain an active research program in BMI, collaborate with investigators across the health sciences campus, teach courses within our graduate programs, and mentor students. We are hiring multiple positions in the specific research disciplines of Bioinformatics, Biostatistics, Clinical informatics, Implementation Science, and AI in digital health. Details of the positions are as follows.

 

Bioinformatics: Successful applicants will have a Ph.D. in bioinformatics, mathematics, computer science, or related fields. While open to all bioinformatics research areas, we are particularly interested in one or more of the following areas:

  • Comparative/population genomics 
  • Immuno-informatics equipped with multi-omics techniques (e.g., single-cell transcriptome, metabolomics, and imaging data)
  • Microbiome research with metagenomics and/or metaproteomics experience
  • Structural biology
  • AI and deep learning methods for multi-omics data modeling and integration
  • Cloud computing and cyber infrastructure construction

Biostatistics: Successful applicants should have a Ph.D. in Statistics, Biostatistics or related discipline, with scientific collaboration and research interests in one or more of the following areas: 

  • Clinical trials, including Bayesian designs, pragmatic trials, clustered designs, de-centralized trials, and rapid cycle research
  • High-dimensional data, including complex correlated structures, novel omic data platforms, real-world applications, statistical methods in AI/ML, and basic science knowledge
  • Population health and observation studies including cross-sectional studies, case-control studies, cohort studies, structural equation modeling, geospatial modeling (e.g., COVID modeling, prevention strategies), missing data and measurement errors
  • Community-based research, health disparities, social determinants of health (SDoH)
Clinical informatics: Successful applicants will have a clinical doctorate (e.g., MD/DO/PharmD) and/or Ph.D. in BMI, computer science, health services research, or related discipline. While open to all clinical informatics research areas, we are particularly interested in one or more of the following areas: 
  • Translation of informatics discoveries into clinical practice through collaboration with information technology and the health system
  • Application of network analysis, hypothesis discovery, natural language processing, visualization, or data mining methods to clinical data sets  
  • Registry database development, knowledge base development, and knowledge management (e.g., ontology creation)
Implementation science: Successful applicants will have a Ph.D. in BMI, health services research, public health, engineering, organizational sciences, or related field, with research interests in one or more of the following areas:
  • Clinical implementation science study trials (e.g., pragmatic and hybrid studies) and health care services quality improvement
  • Community health, population health, and behavioral health studies focused on areas such as substance use, maternal health, and at-risk populations
  • Design and implementation of evidence-based strategies that influence systematic uptake and optimization of interventions (e.g., behavioral change and community-based)

AI in digital health: Successful applicants will have a Ph.D. in computer science, statistics, electrical and computer engineering, BMI, biomedical engineering or related discipline, with research interests in one or more of the following areas. Teaching experiences in Python programming and AI/ML courses are preferred, though not required. 

  • Natural language processing, speech recognition with applications in digital health (e.g., electronic medical record analysis)
  • Bioimaging analysis, with applications in pathology, radiology imaging, among others
  • AI, deep learning, machine learning, data mining and big data analysis with applications in healthcare 
  • AI/ML for mHealth
  • AI/ML for race and ethics in health, health disparities and SDoH
  • AI/ML for public health
  • AI/ML for bioinformatics (e.g., multi-omics)

Applicants should upload a cover letter, a curriculum vitae, a statement of research plans (limited to 3 pages), a teaching statement, and a diversity statement. In the cover letter, please clearly specify which track, rank and research area you are applying for. In the teaching statement, please outline your approach to teaching and learning, as well as your goals and vision as an educator. In the diversity statement, please include evidence of contributions to advancing diversity, equity, and inclusion through previous work, proposed efforts, and/or depth of understanding. Any questions can be directed to the chair of the search committee, Dr. Xia Ning (Xia.Ning@osumc.edu). Evaluation of applications is underway and will continue until positions are filled. 

As part of the College of Medicine at the Ohio State Wexner Medical Center (OSUWMC, http://medicalcenter.osu.edu), the Department of BMI and the Center for Biostatistics (CFB, https://medicine.osu.edu/departments/biostatistics) provide an academic home for informatics and biostatistics research, development and training at Ohio State. The Department of BMI and CFB have one of the most comprehensive academic programs in the nation, including clinical informatics, AI in digital health, implementation science, bioinformatics, and biostatistics. They have a strong diversity, equity, inclusive culture for faculty who develop careers in both innovative research and collaborative research. Faculty in the Department of BMI have access to resources to assist in grant writing, management, and to stimulate collaboration. The department has a robust training curriculum for PhD, Masters, and Certificate programs. The department has also established a significant amount of resources in clinical data and high-performance computing and data storage. 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 a state-of-the-art 1 million square foot, NCI-designated Comprehensive Cancer Center. Faculty and staff in the Department of 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. 

Click here to apply

Open Faculty Search - Clinical Track - Biomedical Informatics

The Department of Biomedical Informatics (BMI, http://bmi.osu.edu) at The Ohio State University (OSU) currently has opportunities for clinical-track faculty at the Assistant, Associate, and Full Professor levels with research interests related to bioinformatics, biostatistics, and clinical informatics. There are opportunities to partner with investigators conducting clinical research at The Ohio State University, OSUCCC – James: Cancer Treatment and Research Center, and Nationwide Children’s Hospital. Successful candidates will work as part of a collaborative team with investigators across the health sciences campus to develop grant proposals and design studies for clinical trials, large cohorts, informatics, computational biology, and high-throughput omics, among others, that make efficient use of biomedical data to test scientific hypotheses and help shape medical practice. Opportunities to develop methodologies, teach courses within our graduate programs, and mentor graduate students are available and encouraged. We are hiring multiple positions in the specific research disciplines of Bioinformatics, Biostatistics, Clinical informatics, Implementation Science, and AI in digital health. Details of the positions are as follows.

 

Bioinformatics: Successful applicants will have a Ph.D. in biomedical sciences, bioinformatics, computer science, or related fields. While open to all bioinformatics research areas, we are particularly interested in one or more of the following areas:

  • Comparative/population genomics 
  • Immuno-informatics equipped with multi-omics techniques (e.g., single-cell transcriptome, metabolomics, and imaging data
  • Microbiome research with metagenomics and/or metaproteomics experience
  • Structural biology
  • AI and deep learning methods for multi-omics data modeling and integration
  • Cloud computing and cyber infrastructure construction

 

Biostatistics: Successful applicants should have a Ph.D. in Statistics, Biostatistics or related discipline, with scientific collaboration and research interests in one or more of the following areas: 

  • Clinical trials, including Bayesian designs, pragmatic trials, clustered designs, de-centralized trials, and rapid cycle research
  • High-dimensional data, including complex correlated structures, novel omic data platforms, real-world applications, statistical methods in AI/ML, and basic science knowledge
  • Population health and observation studies including cross-sectional studies, case-control studies, cohort studies, structural equation modeling, geospatial modeling (e.g., COVID modeling, prevention strategies), missing data and measurement errors
  • Community-based research, health disparities, social determinants of health (SDoH)

Clinical Informatics: Successful applicants will have a clinical doctorate (e.g., MD/DO/PharmD) and/or Ph.D. in BMI, computer science, health services research, or related discipline, with research interests in one or more of the following areas: 

  • Translation of informatics discoveries into clinical practice through collaboration with information technology and the health system
  • Application of network analysis, hypothesis discovery, natural language processing, visualization, or data mining methods to clinical data sets  
  • Registry database development, knowledge base development, and knowledge management (e.g., ontology creation)

Applicants should upload a cover letter, a curriculum vitae, a statement of research plans (up to 3 pages), a teaching statement, and a diversity statement. In the cover letter, please clearly specify which track, rank and research area you are applying for. In the teaching statement, please outline your approach to teaching and learning, as well as your goals and vision as an educator. In the diversity statement, please include evidence of contributions to advancing diversity, equity, and inclusion through previous work, proposed efforts, and/or depth of understanding. Any questions can be directed to the chair of the search committee, Dr. Xia Ning (Xia.Ning@osumc.edu). Evaluation of applications is underway and will continue until positions are filled. 

As part of the College of Medicine at the Ohio State Wexner Medical Center (OSUWMC, http://medicalcenter.osu.edu), the Department of BMI and the Center for Biostatistics (CFB, https://medicine.osu.edu/departments/biostatistics) provide an academic home for informatics and biostatistics research, development and training at Ohio State. The Department of BMI and the Center for Biostatistics have one of the most comprehensive academic programs in the nation, including clinical informatics, AI in digital health, implementation science, bioinformatics, and biostatistics. They have a strong diversity, equity, inclusive culture for faculty who develop careers in both innovative research and collaborative research. Faculty in the Department of BMI have access to resources to assist in grant writing, management, and to stimulate collaboration. The department has a robust training curriculum for PhD, Masters, and Certificate programs. The department has also established a significant amount of resources in clinical data and high-performance computing and data storage. 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 a 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. 

Click here to apply

The Ohio State University believes in diversity in people and ideas. What Ohio State does matters. And how we do it matters. When we are at our best, we make a real difference to people. Our size, breadth, geography, history and standard of excellence position us to drive the future of higher education. We believe that the university should be a place where people can work and learn together in a safe environment, free of violence, harassment, discrimination, exploitation, or intimidation. As such, finalists for any faculty position that carries tenure must sign an authorization and disclosure form, which will allow current or prior employer(s) to share information to the University regarding any findings of employment-related misconduct or disciplinary proceedings against a candidate and/or any pending investigations related to alleged misconduct. Such information shall include findings and pending investigations with respect to sexual harassment, violence, or harassment; research misconduct; financial fraud or misconduct; foreign influence violations, grant misuse or misconduct; and/or any other type of finding or pending investigation relating to a candidate’s employer’s policies and rules governing faculty conduct that may reasonably be expected to affect a candidate’s appointment. If the University becomes aware of any past finding of misconduct or pending investigations that were not disclosed, Ohio State will treat that as a serious omission and reserves the right to rescind an offer or terminate employment.

 

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

  

Summer Internship Program

The Department of Biomedical Informatics offers a summer internship program annually that provides graduating high school seniors and current undergraduate and graduate students the opportunity to pursue research projects under the guidance of research and operational staff and renowned faculty mentors.

Learn more

Staff Positions

Staff Positions

For staff positions, including research, postdoctoral, and administrative positions, please see the Ohio State Wexner Medical Center & College of Medicine Careers section.

Non-OSU/OSUWMC Employee or Internal OSU/OSUWMC Employee

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