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
The successful candidates will be expected to:
- 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.
Company
This NIH Phase I COBRE program establishes the Oklahoma Center of ImmunoEngineering (OCIE). OCIE will facilitate the convergence of immunomodulation and omics data science research, support the career development of Research Project Leaders (RPLs) and other immunoengineering researchers, and accelerate their research on cancer, viral infection, diabetes, and other diseases with immunological roots. Immunoengineering has emerged as a promising field because of its ability to analyze and modulate the immune system using engineering approaches.
