The Computational Genomics Platform (CGP) team uses big data technologies to facilitate genomic research for global health issues such as breast cancer and other genetic risk factors. The team collaborates with many universities and institutes around the world. Examples of projects include supporting a global team to create the Human Cell Atlas, a compendium that maps gene activity in each cell in the human body, and the National Health Institute Data Commons project, which is about developing the technology to share and combine controlled access to genomic data across different institutes.
This position applies advanced systems infrastructure concepts and institutional objectives to resolve highly complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. Selects methods, techniques and evaluation criteria to obtain results. Takes ownership of optimization of administrative task automation. Gives presentations to associated team and other technical units. Evaluates new technologies including performing moderate to complex cost/benefit analyses. May lead a team of systems/infrastructure professionals.
If you are excited to work in a fast-paced, startup-like environment within an institution of higher education in beautiful Santa Cruz, California, we encourage you to apply