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

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. #J-18808-Ljbffr Oklahoma Center of ImmunoEngineering