Bioinformatics Specialist: Immuno-Oncology & Cancer Research

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

Job summary

The Ohio State University Wexner Medical Center seeks a Bioinformatics Specialist to advance translational and immuno-oncology research through computational biology, bioinformatics, and statistics. The role analyzes complex omics data and develops analytical workflows, collaborating with investigators to translate findings into cancer research knowledge and publications.

The position contributes to grant applications and scientific presentations, serving as a key analytical resource within

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.

Responsibilities

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

Skills

R

Python

statistical modeling

data visualization

collaborative research

written communication

verbal communication

Education

Master's degree in Computational Biology/Bioinformatics/Data Science/Biostatistics/CS/ Biomedical Informatics

Tools

Seurat

Monocle3

SCENIC

miloR

Job description

The Ohio State University Wexner Medical Center seeks a Bioinformatics Specialist to advance translational and immuno-oncology research through computational biology, bioinformatics, and statistics. The role analyzes complex omics data and develops analytical workflows, collaborating with investigators to translate findings into cancer research knowledge and publications.

The position contributes to grant applications and scientific presentations, serving as a key analytical resource within