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 - Biostatistics
The Department of Biomedical Informatics (BMI, http://bmi.osu.edu) and Center for Biostatistics (CFB, https://medicine.osu.edu/departments/biostatistics) at The Ohio State University (OSU) is currently seeking applicants for tenure-track faculty in biostatistics at the Associate Professor level. Candidates with expertise and interests in population sciences, Bayesian statistics, causal inference, statistical learning, high-dimensional data, and/or electronic medical records are encouraged to apply. Successful applicants should have a Ph.D. in Statistics, Biostatistics, Epidemiology or a related discipline, with scientific collaboration and research interests in one or more of the following areas:
- Clinical trials, including Bayesian designs, pragmatic trials, hybrid-type studies, 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, missing data, and measurement errors
- Community-based research, health disparities, and social determinants of health (SDoH)
Performance Objectives
Successful candidates will maintain an active research program in biostatistical methodology, collaborate with investigators across the health sciences campus, teach courses within our graduate programs, and mentor graduate students. There are opportunities to partner with investigators conducting basic, clinical, and population research at both The Ohio State University and Nationwide Children’s Hospital. Candidates are also expected to collaborate with investigators across the health sciences campus to develop grant proposals and design studies that lead to discoveries impacting human health.
Education and Experience Requirements
Applicants should have a Ph.D. in Statistics, Biostatistics, Epidemiology or a related discipline
How to Apply
To be considered, please submit your application electronically via Workday under requisition number R101491. https://osu.wd1.myworkdayjobs.com/en-US/OSUCareers/job/Columbus-Campus/Associate-Professor-of-Biomedical-Informatics--Tenure-Track-_R101491-1[BG1] .
Applicants should upload a cover letter, a curriculum vitae, a statement of research plans (limited to 3 pages), and a statement of teaching and mentoring. In the teaching statement, please outline your approach to teaching and learning, as well as your goals and vision as an educator. Any questions can be directed to the chair of the search committee, Dr. Guy Brock (guy.brock@osumc.edu). Evaluation of applications is underway and will continue until positions are filled.
Required
- Cover letter
- Curriculum Vita (CV)
- Statement of Research
- Statement of Teaching and Mentoring
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
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. Qin Ma (qin.ma@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 Institute (CTSI) 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.
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)
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. Qin Ma (qin.ma@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.
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.
Staff Positions
For staff positions, including research, postdoctoral, and administrative positions, please see the Ohio State Wexner Medical Center & College of Medicine Careers section.
We are looking for postdoctoral scholars to join a growing transdisciplinary team focused on studying patient preferences as well as advancing and applying methods for promoting patient engagement in science, health equities and evidence synthesis and generation. Our post-docs can work on a variety of research projects and generate their own research proposals and studies in a collaborative team science environment. Ideal candidates will have a PhD or equivalent degree in epidemiology, decision sciences, health services and policy research, economics/economic evaluation, bioinformatics, biostatistics, psychology, communication, or other related disciplines (job# R47479).
Contact: John Bridges, Professor, Biomedical Informatics, john.bridges@osumc.edu
We are looking for postdoctoral scholars to develop high-impact statistical and computational/algorithmic methods for high-throughput biological data analyses, including but not limited to transcriptome and epigenetics sequencing data. In addition, we also conduct method development for the newest data types of PacBio and Oxford Nanopore Technologies. Background on mathematics, statistics, computer science or degree in a related field is desirable. Background in medicine or biology is not required.
We are looking for postdoctoral scholars in biology or bioinformatics background. Our lab performs world-leading science in developmental biology and cancer research. We focus on making meaningful advances to understand developmental biology and cancer, using cutting-edge technologies (such as Third Generation Sequencing technologies: PacBio and Oxford Nanopore Technologies) to create authentic models and gain biological insights in transcriptome and epigenetics level. A typical candidate would have skills including but not limited to implementing basic in-house bioinformatics tools, collaborating with statistician and computational biologists to elucidate biological discovery and mining out biological insights. Background on biology, computational biology or bioinformatics is desirable.
The postdoctoral scholars will have the opportunity to collaborate with internationally recognized biomedical scientists at Stanford University, University of Oxford and University of Tokyo. Salary and benefits will be very competitive. All applications will be considered until the positions are filled. Interested candidates should contact Prof. Kin Fai Au (kinfai.au@osumc.edu) with an updated CV.