The successful candidate will work to prepare and analyze omics data generated within the lab and beyond. Initial efforts will focus on bulk and single-cell gene expression data from normal human brain samples and brain tumors, but this will grow over time to include other tissues, organisms, and molecular species.
Responsibilities will primarily involve application of existing code, with some development of new code as needed. Under direct supervision, training and guidance, the Research Data Analyst will preprocess and perform quality control of omics datasets, execute the lab's analytical pipelines, and prepare these outputs for ingestion into a cloud-based data ecosystem.
Additionally, this individual will have the opportunity to contribute to original analyses of omics data and serve as co-author on resulting publications.
The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and high-quality patient care. It is the only UC campus in the 10-campus system dedicated exclusively to the health sciences.