Stanford Center for Genomics and Personalized Medicine, situated in the heart of SF Bay Area, has an excellent opportunity available for a motivated Data Analyst to provide bioinformatics analysis support for a large scale research collaboration project with VA. This position is a customer-facing technical role that involves working alongside a small team of professionals, which include Ph.D. scientists and engineers, to process next-generation sequencing DNA-Seq data. Your collaborators will include high profile research labs from across Stanford and other international Universities and professional organizations. It is a dynamic and professional work environment with immense learning and growth potential.
The successful candidate will have in-depth knowledge of high-throughput sequencing technologies, experience with large genomic data sets, and their computational analysis in order to successfully understand these data. Excellent communication skills are critical. Computational fluency in a Linux environment is essential. The successful candidate must be able to learn to work independently, yet collaborate effectively with co-workers. The individual must be able to quickly grasp the objectives of research projects, and assemble solutions from a range of technologies, standards and approaches. What is perhaps most important is an innate desire to learn new methods and technologies and adapt to demands of fast paced research. Previous experience working in an academic environment is a plus. The successful candidate will comply with University and government health and safety regulations and policies.
Candidate is expected to analyze and troubleshoot poor quality data arising from biological issues or analysis artifacts, propose methods to streamline data analysis, provide curation for genomics data and implement new tools for data analysis and management.