Location: San Francisco, California
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. Familiarity with the R programming environment is required, and knowledge of other programming languages (especially workflow development languages such as Snakemake, WDL, and Nextflow) and collaborative coding practices (e.g. GitHub) is a plus. Responsibilities will primarily involve application of existing code, with some development of new code as needed. Under direct supervision, training and guidance, this individual 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.
To see the salary range for this position (we recommend that you make a note of the job code and use that to look up): TCS Non-Academic Titles Search (ucop.edu)
Please note: The compensation ranges listed online for roles not covered by a bargaining unit agreement are very wide, however a job offer will typically fall in the range of 80% - 120% of the established mid-point. An offer will take into consideration the experience of the final candidate AND the current salary level of individuals working at UCSF in a similar role.
For roles covered by a bargaining unit agreement, there will be specific rules about where a new hire would be placed on the range.
To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html