BIOINFORMATICS PROGR

Job Description

Job Description:
The Cardiovascular Genetics Center at University of California, San Francisco is seeking an experienced bioinfomatician to faciliate several lines of research that relate broadly to inherited forms of cardiovascular disease, regulation of gene expression in health and disease, and personalized genetic medicine. The incumbent will work closely with prinicpal investigators within the Genetic Center to design and implement analysis pipelines in several broad areas of computational biology including analysis of experimentally generated datasets in basic research, and analysis of patient-derived genomic data from UCSF patients as well as publicly available data repositories. The goal will be to make fundamental biological discoveries that can ultimately be translated to understanding, prevent, and treat heritable cardiovascular diseases.

Qualifications:
Required Qualifications - Bachelor's degree in biological science, computational / programming, or related area and / or equivalent experience / training - A minimum of 3 years of relevant work experience in bioinformatics or computational biology - Thorough knowledge of bioinformatics programming design, modification and implementation in relevant languages such as Python, R, and/or equivalent - Understanding of relational databases, web interfaces, and operating systems - Strong project management skills - Thorough knowledge of modern biology and applicable field of research - Communication skills to work with both technical and non-technical personnel in multiple fields of expertise and at various levels in the organization - Ability to communicate technical information in a clear and concise manner - Ability to interface with management on a regular basis - Self motivated, work independently or as part of a team, able to learn quickly, meet deadlines and demonstrate problem solving skills - Thorough knowledge of web, application and data security concepts and methods - Familiarity with cloud-based computing and high-performance computing environments - Proven expertise, as reflected in publication record, in analyzing high-throughput sequencing datasets, including RNA-sequencing, ATAC-sequencing, and chromatin occupancy studies - Thorough In-depth knowledge of genomic databases, tools, and statistical frameworks Preferred Qualifications - PhD in Bioinformatics or a closely related field