Chen Lab - Research Specialist (Biological and Medical Informatics)

Research Specialist (Biological and Medical Informatics) – Chen Lab University of California, San Francisco Department of Radiation OncologyDESCRIPTIONThe Chen Laboratory at the University of California, San Francisco is seeking to recruit an outstanding candidate to fill a computational biologist position at the Junior, Assistant, Associate, or Full Specialist Level. Research in the Chen Lab focuses on (1) identifying molecular drivers of prostate cancer pathogenesis, (2) understanding the mechanisms that contribute to disease progression and metastasis, and (3) developing novel therapeutic strategies. Our lab utilizes cancer genomics, cell biology, and other tumor profiling approaches complementary to multiplexed single-cell imaging measured using Imaging Mass Cytometry (IMC) to answer fundamental questions underlying prostate cancer biology, with the goal of translating discoveries from the lab into the clinic. We work collaboratively with basic scientists, computational biologists, pathologists, and oncologists at the UCSF Helen Diller Cancer Center. The role of the Specialist is to both assist with ongoing experiments and, depending on the candidate's skill level, conduct independent research under the guidance of Dr. Chen and other members of the Chen Lab. The Specialist will learn and utilize a variety of research techniques and will have the opportunity to be a co-author on publications. Job responsibilities include but are not limited to: The ideal candidate should have a strong background in bioinformatics, computer science, or computational biology, along with general experience in the life sciences. The candidate will contribute to designing and implementing analyses of high-dimensional data (e.g., single-cell RNA sequencing, germline (e.g. whole-genome) sequencing (WGS) data, proteomics, digital pathology).The candidate will be able to utilize standard bioinformatics tools and databases to uncover biologically meaningful insights that address key research questions. The candidate will be expected to work independently with support from team members to complete independent data analysis.