The Stanford Center for Genomics and Personalized Medicine (SCGPM), situated in the heart of SF Bay Area, has an excellent opportunity available for a motivated Bioinformatics Software Developer. This is a key position with Center’s Big Data Genomics Core team that will support a new CIRM initiative, Center of Excellence in Stem Cell Genomics initiative.
Stanford University has been awarded $40 million from the California Institute for Regenerative Medicine to work with several partners to create a center that will focus on applying genomics approaches and technologies to stem cell science. The Center of Excellence in Stem Cell Genomics will be led by Co-directors Michael Snyder, chair of genetics at Stanford and Director of SCGPM, and Joseph Ecker, a professor in the plant biology lab at Salk. Stanford and its collaborators will use the CIRM funding to create the Center of Excellence in Stem Cell Genomics, which will apply genomics in developing better ways to use stem cells in research and treatment, and enhance understanding about diseases like cancer, diabetes, heart disease, and mental health. For a list of CIRM grants given to Stanford PIs, please visit http://www.cirm.ca.gov/ourprogress/institutions/stanford-university.
In this position, you will be an integral part of a highly dedicated core team that works with dozens of high profile academicians, petabytes of data, thousands of computational cores, dozens of Industry leaders while supporting hundreds of researchers. You are expected to be analytically strong, an independent researcher, respectful to your collaborators and strong in your communication skills.
The ideal person for this position is a computational genomics ninja who is passionate about developing best-practice scientific methods and tools. The successful candidate will have deep knowledge of scientific method development, pipeline/software development, experience with massive scale data analysis, and a strong grasp in high performance computing. What is perhaps most important is your desire to learn new methods and technologies and adapt to fast pace changes. The main focus for this position involves development of NGS analysis pipeline development and data analysis.