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Sr. Data Science & Engineering Fellow - Remote

Parker Institute for Cancer Immunotherapy San Francisco, CA

  • Expired: over a month ago. Applications are no longer accepted.
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.

Overview of the Role

The Senior Data Science & Engineering Fellow will contribute to analyses of PICI data as well as the data infrastructure which we use to process this data. The goal of the work will be uncovering novel insights leading to mechanistic understanding, patient selection biomarkers, or new therapies. The Fellow will be responsibe for the data assets on several key PICI projects. This responsibility will involve collecting and curating public and proprietary datasets, loading them onto PICI’s CANDEL data platform, and improving the CANDEL data platform for these novel data types where needed. These datasets will involve 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. The focus of the Fellow’s work will be on data integration as well as pipeline development for high-dimensional tissue imaging data.

 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 with a skillset spanning data science, biology, and engineering, and could continue towards a future more specialized role in any of these areas.

 The ideal candidate will be a strong technical contributor, capable of working independently to process data, build tools, and produce high-quality results. They will need to balance a mindset of scientific inquiry and technical excellence with a results-driven attitude suited to the quick pace of project 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 Senior Data Science & Engineering Fellow reports to the Associate Director of Informatics and is a key member of the Informatics team.

FLSA Status: Exempt

 Essential Job Functions

  • Ingest and process molecular data from one or more assays (sequencing, flow/CyTOF, imaging, and more) using PICI’s established data processing and storage platform, CANDEL
  • Improve the CANDEL platform to handle new data types, including but not limited to expanded clinical data and single-cell sequencing data
  • Develop pipelines and analysis tools for analyzing high-dimensional tissue imaging and single-cell sequencing data, using a variety of methods and platforms
  • Use R to explore data with a variety of methods, looking for associations between molecular features and clinical variables such as response, adverse events, or course of treatment
  • Contribute to a shared codebase of high-quality R code for repeatable molecular and clinical data analysis

Knowledge, Skills, and Experience

  • PhD in Bioinformatics, Statistics, Biology, or related discipline
  • 5+ years experience analyzing data in an academic or industry setting
  • 5+ years experience developing software
  • Strong programming skills in R and Clojure
  • Experience with software development best practices
  • Experience with database technologies (Datomic experience preferred)
  • Experience with command line tools and cloud computing
  • Experience with ggplot2 or related visualization libraries
  • Experience with one or more molecular data types (sequencing, gene expression, flow/CyTOF, tissue imaging, or related)
  • Eye for technical quality and design
  • Ability to communicate results to a variety of stakeholders, including technical and non-technical scientific audiences
  • Ability to work as a team player, respecting others and holding a “learner not knower” attitude
  • Ability to work independently in a multi-disciplinary environment

this is a remote position

Parker Institute for Cancer Immunotherapy


San Francisco, CA
94129 USA



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