Bioinformatics Specialist-Comprehensive Cancer Center

The Ohio State University; Columbus (OH); On-site; USD 90,000 - 130,000; Full time

Job summary

The Ohio State University Comprehensive Cancer Center seeks a Bioinformatics Specialist to support translational and immuno-oncology research through computational biology, bioinformatics, and statistical analysis methods.

This position analyzes high‑dimensional genomic, transcriptomic, and single‑cell data, develops analytical workflows, and collaborates with laboratory investigators to generate biological insights for cancer research.

Qualifications

• Master's degree in a related field.
• Experience analyzing large-scale biological datasets.
• Proficiency in R and Python.
• Knowledge of NGS data analysis methods.
• Experience with statistical modeling and data visualization.
• Ability to collaborate in a research environment.
• Strong written and verbal communication skills.

Responsibilities

• Support translational and immuno-oncology research through computational methods.
• Analyze high‑dimensional genomic, transcriptomic, and single‑cell datasets.
• Develop analytical workflows and pipelines for data processing.
• Collaborate with laboratory investigators to generate biological insights.
• Contribute to publications, grant applications, and scientific presentations.

Skills

R

Python

Statistical modeling

Data visualization

Collaborative research

Communication skills

Education

Master's degree in Computational Biology, Bioinformatics, Data Science, Biostatistics, Computer Science, Biomedical Informatics, or related discipline

Tools

Seurat

Monocle3

SCENIC

miloR

Job description

Bioinformatics Specialist – Comprehensive Cancer Center

Department: CCC | Comprehensive Cancer Center

The Bioinformatics Specialist supports translational and immuno‑oncology research through the application of computational biology, bioinformatics, and statistical analysis methods. This position performs advanced analyses of high‑dimensional genomic, transcriptomic, and single‑cell sequencing datasets, develops analytical workflows, and collaborates with laboratory investigators to generate biological insights that support cancer research objectives. The incumbent serves as a key analytical resource within multidisciplinary research teams and contributes to publications, grant applications, and scientific presentations.

Required Qualifications

• Master's degree in Computational Biology, Bioinformatics, Data Science, Biostatistics, Computer Science, Biomedical Informatics, or a related discipline.
• Experience analyzing large‑scale biological datasets.
• Proficiency in R and Python.
• Knowledge of bioinformatics methodologies for next‑generation sequencing data analysis.
• Experience with statistical modeling and data visualization techniques.
• Demonstrated ability to work effectively in a collaborative research environment.
• Strong written and verbal communication skills.

Preferred Qualifications

• Experience with single‑cell RNA sequencing analysis.
• Experience with Seurat, Monocle3, SCENIC, miloR, and related bioinformatics tools.
• Experience analyzing immunology, oncology, or translational research datasets.
• Experience with machine learning approaches including Random Forest, Support Vector Machines, deep learning, and predictive modeling.
• Experience contributing to peer‑reviewed publications.
• Familiarity with cloud computing, Linux environments, and high‑performance computing platforms.

Additional Information

The OSUCCC – James is the only cancer program in the United States that features a National Cancer Institute (NCI)-designated comprehensive cancer center aligned with a nationally ranked academic medical center and a freestanding cancer hospital on the campus of one of the nation’s largest public universities. The OSUCCC – James Pelotonia Institute for Immuno‑Oncology (PIIO) is a comprehensive bench‑to‑bedside research initiative focused on harnessing the body’s immune system to fight cancer at all levels—from prevention to treatment and survivorship. Trainees benefit from an enriching educational environment led by world‑renowned mentors in cancer immunotherapy, complemented by a robust seminar series, access to top‑tier research facilities, and a dynamic culture of innovation that drives transformative discoveries in cancer care.

Location: Biomedical Research Tower (0112) Position Type: Regular Scheduled Hours: 40 Shift: First Shift

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

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