Research Assistant Professor of Computer Science - Omics Data Science for Immuno-Engineering

Oklahoma Center of ImmunoEngineering; Minnesota; On-site; USD 70,000 - 90,000; Full time

Job summary

University of Oklahoma's School of Computer Science invites applications for a non-tenure track Research Assistant Professor position in Omics Data Science and Bioinformatics for Immuno-Engineering. The role focuses on collaborative multi-omics analyses and methodological development for immuno-engineering.

Responsibilities include leading computational workflows for omics data, cross-disciplinary collaboration, manuscript support, grant development, and participation in workshops.

Qualifications

• PhD in Computer Science, Bioinformatics, Computational Biology, Data Science, Biomedical Informatics, Statistics, or closely related field.
• Experience in computational analysis of biological or biomedical data.
• Strong programming skills and ability to work in scalable computing environments.

Responsibilities

• Collaborate on design and analysis of multi-omics studies.
• Develop, validate, and apply computational workflows for large-scale omics data.
• Support data integration, interpretation, manuscript preparation, and data sharing.
• Lead development of bioinformatics, ML, and data science methods for immuno-engineering.
• Develop grant applications and contribute to proposals in immuno-engineering.
• Participate in workshops and collaborative research activities.

Skills

Multi-omics data analysis

Programming skills

Scalable computing

Interdisciplinary teamwork

Education

PhD in CS/related field

Job description

Description

The School of Computer Science at the University of Oklahoma invites the applications for a non-tenure track Research Assistant Professor position in Omics Data Science and Bioinformatics for Immuno-Engineering. This research-focused faculty positions will support interdisciplinary multi-omics research through collaborative data analysis and methodology development for immuno-engineering applications.

Responsibilities

• Collaborate with investigators on the design and analysis of multi-omics studies;
• Develop, validate, and apply computational workflows for large-scale omics data, including single-cell and spatial data;
• Support data integration, interpretation, manuscript preparation, and data sharing;
• Lead research and development of new bioinformatics, machine learning, and data science methods for immuno-engineering;
• Develop grant applications and contribute to proposals in immuno-engineering;
• Participate in workshops, consultations, and other collaborative research activities.

Qualifications

Applicants must have a Ph.D. in Computer Science, Bioinformatics, Computational Biology, Data Science, Biomedical Informatics, Statistics, or a closely related field. Candidates should have experience in computational analysis of biological or biomedical data, strong programming skills, experience with scalable computing environments, and the ability to work effectively in interdisciplinary teams.