Research Scientist-Medical Oncology

About the role

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.

Responsibilities

• 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.
• Develop hypotheses and analytical strategies; establish and optimize reproducible bioinformatic workflows; oversee data processing, analysis, interpretation, visualization, and reporting.
• Provide scientific guidance on study design, genomic and transcriptomic analysis, multi-omics integration, statistical modeling, machine learning, and emerging computational technologies.
• Collaborate with multidisciplinary teams to establish research priorities, interpret complex biological, genomic, and clinical data, troubleshoot technical problems, and develop new research directions.
• Stay current with relevant literature and methodological advances and make recommendations regarding research strategies and analytical procedures.
• Prepare manuscripts, abstracts, project reports, and grant proposals; present findings at institutional and national or international conferences; and contribute to workshops, lectures, and seminars.
• Develop and submit extramural grant proposals as principal investigator, co-investigator, or key personnel, as appropriate under institutional policy, and 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.
• Advising on study design, computational methods, data analysis, interpretation, manuscript preparation, presentations, and career development.

Requirements

• 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 is required.
• Translational experience integrating molecular data with clinical, pathologic, treatment, or outcome data is preferred.

Qualifications

• Demonstrate the ability to function as an independent and productive researcher.
• Evidence may include peer-reviewed publications; presentations at professional societies or national or international conferences; development of analytical methods, computational workflows, datasets, software tools, or research resources; contribution to grant-funded research programs; and demonstrated ability to solve important biological, translational, or applied research problems.
• Experience in cancer genomics, transcriptomics, next-generation sequencing analysis, multi-omics integration, clinical trial data analysis, human cancer datasets, molecular subtyping, biomarker discovery, or computational analysis of clinically annotated datasets is preferred.
• Experience with manuscript preparation, grant writing, collaborative project leadership, and mentoring is also preferred.