Research Scientist-Medical Oncology

Overview

The Hayes Lab in the Department of Internal Medicine, Division of Medical Oncology at The Ohio State University is seeking a Research Scientist to serve as an expert resource in computational biology, cancer genomics, bioinformatics, and translational oncology within the OSUCCC research environment. The position will lead independent and collaborative projects involving cancer biology, molecular subtyping, genomic and transcriptomic profiling, therapeutic response and resistance, biomarker discovery, and integrative multi-omics analysis across diverse cancer types.

The Research Scientist will develop hypotheses and analytical strategies, establish and optimize reproducible bioinformatic workflows, oversee data processing, analysis, interpretation, visualization, and reporting, and provide scientific guidance on study design, genomic and transcriptomic analysis, multi-omics integration, statistical modeling, machine learning, and emerging computational technologies. The position will collaborate with multidisciplinary teams to establish research priorities, interpret complex biological, genomic, and clinical data, troubleshoot technical problems, and develop new research directions.

The Research Scientist will remain current with relevant literature and methodological advances and make recommendations regarding research strategies and analytical procedures.

• Lead independent and collaborative research projects in computational biology, cancer genomics, bioinformatics, and translational oncology.
• Develop hypotheses and analytical strategies; establish, optimize, and maintain reproducible bioinformatic workflows.
• Oversee data processing, analysis, interpretation, visualization, and reporting.
• Provide guidance on study design, genomic and transcriptomic analysis, multi-omics integration, statistical modeling, machine learning, and emerging computational technologies.
• Collaborate with multidisciplinary teams to set research priorities, interpret complex data, and troubleshoot problems.
• Prepare manuscripts, abstracts, project reports, and grant proposals; present findings at institutional and national/international conferences; contribute to workshops, lectures, and seminars.
• May develop and submit extramural grant proposals as principal investigator, co-investigator, or key personnel; assist with grant administration, budget management, progress reports, and compliance documentation.
• Supervise, mentor, and train junior investigators, postdoctoral researchers, graduate students, research staff, and analysts; advise on study design, computational methods, data analysis, interpretation, manuscript preparation, presentations, and career development.

• Doctoral degree required in computational biology, bioinformatics, biostatistics, computer science, biomedical informatics, genomics, systems biology, quantitative biology, biomedical sciences, or a related field.
• Three or more years of experience in computational biology, bioinformatics, genomics, cancer research, or analysis of high-dimensional biological data.
• Translational experience integrating molecular data with clinical, pathologic, treatment, or outcome data is preferred.
• The successful candidate must demonstrate the ability to function as an independent and productive researcher, evidenced by peer-reviewed publications, presentations, development of analytical methods, computational workflows, datasets, software tools, or research resources, contributions to grant-funded programs, and problem-solving in biological or translational research.
• Experience in cancer genomics, transcriptomics, next-generation sequencing analysis, multi-omics integration, clinical trial data analysis, human cancer datasets, molecular subtyping, and biomarker discovery is preferred. Experience with manuscript preparation, grant writing, collaborative project leadership, and mentoring is also preferred.

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The university is an equal opportunity employer, including veterans and disability. Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process.