Spatial Intelligence Jobs in Arkansas (NOW HIRING)

Screen reader users may encounter difficulty with this site. For assistance with applying, please contact hr-accessibleapplication@osu.edu. If you have questions while submitting an application, please review these frequently asked questions.

Current Employees and Students:

If you are currently employed or enrolled as a student at The Ohio State University, please log in to Workday to use the internal application process.

Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete the following:

• Ensure you have all necessary documents available when starting the application process. You can review the additional job description section on postings for documents that may be required.

• Prior to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application.

Postdoctoral Scholar
Department of Internal Medicine, Division of Medical Oncology

The Hayes Lab in the Department of Internal Medicine, Division of Medical Oncology at The Ohio State University is seeking a highly motivated Postdoctoral Scholar in computational biology, bioinformatics, and cancer genomics. The successful candidate will contribute to multidisciplinary research focused on cancer genomics, precision oncology, biomarker discovery, and translational cancer biology using cutting-edge computational, statistical, and multi-omics approaches. The Postdoctoral Scholar must be an expert communicator, highly organized, and possess strong writing, analytic, and grantsmanship skills. The successful candidate will work with clinically annotated tumor cohorts, clinical trial specimens, public cancer genomics resources, and internally generated molecular datasets across diverse cancer types.

Required Qualifications

• Ph.D. in computational biology, bioinformatics, biostatistics, computer science, biomedical informatics, genomics, systems biology, quantitative biology, or a related field.
• Demonstrated experience analyzing genomic, transcriptomic, or other high-dimensional biological datasets.
• Proficiency in R and/or Python and experience working in Unix/Linux computational environments.
• Familiarity with statistical methods for genomic data analysis, including differential expression, clustering, dimension reduction, pathway analysis, survival analysis, and multivariable modeling.
• Strong analytical, organizational, and problem-solving skills.
• Ability to work independently while contributing effectively within a multidisciplinary research team.
• Excellent written and verbal communication skills.
• Demonstrated record of peer-reviewed publications and scientific presentations.
• The ability to learn quickly, work independently, and work well in a team is essential.

Preferred Qualifications

• Research experience in cancer genomics, precision oncology, translational cancer research, biomarker discovery, or computational analysis of clinically annotated cancer datasets.
• Experience with multi-omics data integration, including DNA sequencing, bulk and single-cell RNA sequencing, spatial transcriptomics, methylation, proteomics, metabolomics, or digital pathology data.
• Experience with clinical trial datasets, electronic health record data, cancer registry data, or other real-world clinical datasets.
• Familiarity with public cancer genomics resources and databases, including The Cancer Genome Atlas, cBioPortal, Genomic Data Commons, dbGaP, GEO, and related resources.
• Experience with high-performance computing, cloud-based computing environments, workflow-management systems, containers, and/or software development practices.
• Experience with machine learning, predictive modeling, or artificial intelligence methods applied to biomedical data.

Thank you for your interest in positions at The Ohio State University and Wexner Medical Center. Once you have applied, the most updated information on the status of your application can be found by visiting the Candidate Home section of this site. Please view your submitted applications by logging in and reviewing your status. For answers to additional questions please review the frequently asked questions.

The university is an equal opportunity employer, including veterans and disability.