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

Job Description

The successful candidates will collaborate on the design and analysis of multi-omics studies and develop computational workflows for large-scale omics data. They will also lead research in bioinformatics and contribute to grant applications.

Requirements: Applicants must have a Ph.D. in a relevant field and experience in computational analysis of biological data. Strong programming skills and the ability to work in interdisciplinary teams are also required.

Key Skills: Computational Analysis, Bioinformatics, Data Science, Machine Learning, Programming, Interdisciplinary Collaboration, Data Integration, Statistical Analysis, Workflow Development, Omics Data, Single-Cell Data, Spatial Data, Grant Writing, Research Development, Methodology Development