Qualifications:
- Ph.D., M.D. or Ph.D/M.D. with relevant experience in using computational methods to study tumor immunology, molecular oncology, immunology or neuroscience. bioinformatics, biostatistics, computational biology, software engineering, or a similar field
- Excellent mentoring and managing skills across all levels
- Deep understanding of computational approaches for analyzing high-resolution genomic data including: single cell genomics, spatial genomics, and or high-content perturbation datasets, and an interest in applying novel approaches to explore and integrate such data
- Outstanding scientific publication record of impactful discoveries that reveal novel biological pathways and/or advanced technologies to enable biological discovery
- Experience working with experimental biologists including high throughput single cell genomics and interpretation of results
- Evidence of scientific independence and accomplishments comparable to Associate Professor with tenure or Full Professor at a top-tier research university, or equivalent
- Excellent communication and data presentation skills, including the ability to explain complex scientific results to a diverse audience
- Intense curiosity about the biology of disease and eagerness to contribute to scientific and computational efforts focused on understanding the molecular mechanisms underlying disease etiology
- Experience in working with teams including biologists, technologists, and computational scientists
- Demonstrated expertise in a programming language such as R or python, experience with version control systems, and familiarity with high-performance computing environments.
