Postdoctoral Fellow
About The Position
The Reshef Lab is seeking an outstanding postdoctoral researcher with training in computational biology, statistics, machine learning, and/or artificial intelligence. This is a primarily computational position focused on developing novel computational methods and applying them to cutting-edge molecular datasets to address fundamental questions in human autoimmunity. The candidate will work closely with collaborators across computational biology, genomics, immunology, and rheumatology. The lab provides an interdisciplinary environment spanning machine learning, statistical methodology, single-cell and spatial genomics, and human immunology. The successful candidate will have access to large, richly characterized human molecular datasets and the opportunity to develop methods with broad relevance to biomedical research while using them to make biological discoveries in autoimmunity.
Requirements
- Strong quantitative foundation.
- Demonstrated experience developing or applying computational methods to biological data.
- Deep interest in solving challenging problems at the intersection of computation and biology.
- Excited to develop new approaches rather than simply apply existing tools.
- Aspire to lead independent research programs.
Responsibilities
- Developing novel computational methods.
- Applying computational methods to cutting-edge molecular datasets.
- Addressing fundamental questions in human autoimmunity.
- Working closely with collaborators across computational biology, genomics, immunology, and rheumatology.
- Developing methods with broad relevance to biomedical research.
- Making biological discoveries in autoimmunity.
Benefits
- Health insurance
- Dental insurance
- Vision insurance
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
