PICI Genomic Data Scientist
Job Description
ABOUT US
The Parker Institute for Cancer Immunotherapy (PICI) is radically changing the way cancer research is done. Founded in 2016 through a $250 million gift from Silicon Valley entrepreneur and philanthropist Sean Parker, the San Francisco-based nonprofit is an unprecedented collaboration between the country’s leading immunotherapy researchers and cancer centers, including Memorial Sloan Kettering Cancer Center, Stanford Medicine, the University of California, Los Angeles, the University of California, San Francisco, the University of Pennsylvania and The University of Texas MD Anderson Cancer Center. The institute also supports top researchers at other institutions, including City of Hope, Dana-Farber Cancer Institute, Fred Hutchinson Cancer Research Center, Icahn School of Medicine at Mount Sinai, Institute for Systems Biology and Washington University School of Medicine in St. Louis.
By forging alliances with academic, industry and nonprofit partners, PICI makes big bets on bold research to fulfill its mission: to accelerate the development of breakthrough immune therapies to turn all cancers into curable diseases.
Help us create a world that doesn’t fear cancer. Join us. www.parkerici.org
OVERVIEW OF THE ROLE
The Biological Data Science Fellow will contribute to analyses of PICI Clinical Trial data with the goal of uncovering novel insights leading to mechanistic understanding, patient selection biomarkers, or new therapies. The Fellow will work collaboratively with other Informatics and Translational Medicine team members to analyze molecular data from a variety of assays, including but not limited to RNAseq, Whole Exome Sequencing, TCRseq, high-dimensional flow cytometry, cytokine measurements, and high-dimensional tissue imaging. Using PICI’s CANDEL data platform, the Fellow will perform primary processing of molecular data and then marry molecular and clinical data to uncover novel insights.
This is a time-bound role with an initial time period of 1 year, with the opportunity for potential extension. The role is intended for someone new in their career seeking new experiences at the border of academia and industry with offering competitive compensation package including benefits. Substantial mentorship will be included as part of the role and can be remote during COVID-19 restrictions.
The ideal candidate will be a strong technical contributor, capable of working independently to analyze data and produce high-quality results. They will need to balance a mindset of scientific inquiry with a results-driven attitude suited to the quick pace of clinical trial delivery. Lastly, they should be a team player and quick learner, excited to learn to use new analysis tools as well as contribute to shared code.
REPORTING STRUCTURE AND TEAM
The Biological Data Science Fellow reports to the Associate Director of Informatics and is a key member of the Informatics team. This position is located in the San Francisco office post COVID and we offer remote opportunities until the office staff returns.
FLSA Status: Non-Exempt
ESSENTIAL JOB FUNCTIONS
KNOWLEDGE, SKILLS, AND EXPERIENCE
this is a remote position