Biological Data Specialist

POSTED ON 10/19/2020 CLOSED ON 12/1/2020
Parker Institute for Cancer Immunotherapy Hired Organization Address San Francisco, CA Remote Full Time

Job Posting for Biological Data Specialist at Parker Institute for Cancer Immunotherapy

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 Specialist will work alongside scientists on the informatics and research teams to make contributions to PICI’s project, BRUCE, aimed at understanding the structure and composition of the tumor micro-environment in brain cancers. A crucial component of this research is the integration of existing multi-omic brain cancer data sets (e.g. genome sequencing, gene expression etc.) with novel imaging datasets that will be generated as part of the BRUCE project.

 The Biological Data Specialist will be tasked with acquiring the above-mentioned publicly available multi-omic datasets, and loading them into a cutting-edge data analysis platform developed by the PICI Informatics team called CANDEL (https://www.parkerici.org/research-project/candel-data-analysis-platform/).

 The Biological Data Specialist will have a joint reporting structure between the Informatics and Research teams. As part of this role, the Biological Data Specialist will interact with the leading research scientists in the field and will have exposure to key scientific questions in immuno-oncology and brain cancers. This role would be ideal for a candidate wanting to explore a career in data science in a dynamic research and development environment.

This role will be full time remote to start with the option to work at the PICI main office in San Francisco in the future. This is a temporary role for 1 year, with potential to extend.

 Reporting Structure and Team

The Biological Data Specialist reports to the Director of Informatics, with a dotted line to the Senior Director of Research and is a key member of the Informatics and Research teams.

FLSA Status: Non-Exempt

 Essential Job Functions

 Reading scientific literature in order to understand the structure and content of data sets to be imported

  • Accessing public data repositories to retrieve data
  • Performing data transformation operations in R
  • Writing configuration files to enable loading of the data into the CANDEL data platform
  • Effective communication with the project team, ensuring the prioritization of datasets for import
  • Actively participating in project team meetings to discuss progress and issues

Knowledge, Skills, and Experience

  • Undergraduate degree in biology, chemistry, computer science or related field
  • Experience with writing data transformation scripts in R
  • Experience working with the Unix command line (Linux or Mac)
  • Attention to detail
  • Ability to work independently
  • Effective time management
  • Undergraduate-level understanding of biology greatly preferred
  • Other preferred skills: experience with working with cloud platforms (AWS, GCP, Azure); experience working with git

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