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Associate Director, Informatics

Informatics | San Francisco, Ca | Full Time

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 Associate Director of Informatics will supervise a team of 2-3 scientists, lead data analysis projects, and direct forward-looking Informatics research. This is a management role with a hands-on analysis component. Data analysis projects under the purview of the Associate Director will involve analyzing molecular and clinical data to uncover novel insights leading to mechanistic discoveries, patient selection biomarkers, or new therapies. These projects may involve PICI Clinical Trials, collaborative investigations with industry partners, or other projects. The Associate Director will work collaboratively with other Informatics and Translational Medicine team members, ensuring that their team of scientists is on track to meet agreed-upon deadlines and deliverables. The Associate Director will both supervise and perform the analysis of 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 ideal candidate will be a skilled manager, a team player, and 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 project delivery. Lastly, they will need to be a strong scientific leader, capable of driving the scientific direction of multiple projects and influencing the scientific direction of the PICI organization as a whole.

 Reporting Structure and Team

The Associate Director of Informatics reports to the Head of Informatics and is a key member of the Informatics team. The Associate Director of Informatics will also work closely with the Translational Medicine and Research teams.  This position is located in the San Francisco office post COVID and we offer remote opportunities until the office staff returns.  

 FLSA Status: Exempt

 Essential Job Functions

  • Manage a team of 2-3 scientists, ensuring timely delivery on their projects and providing scientific and career mentorship
  • Lead analysis projects for PICI clinical trials or data collaborations with pharma partners. This includes setting the scientific project direction, managing the work of other team members, communicating with stakeholders, and taking responsibility for project delivery.
  • Lead production of conference presentations and publications.
  • Work closely with Translational Medicine and Research groups to determine questions of interest, set scientific direction, and refine results.
  • Investigate novel analysis methodologies and suggest directions for forward-looking research on the Informatics team.
  • Follow the trends in Informatics for Immuno-oncology, including reading the literature and attending scientific conferences.
  • 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.
  • 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
  • 3+ years post-doctoral work experience in academia or industry
  • 8+ years experience analyzing data in an academic or industry setting
  • 2+ years management, supervision, or mentoring experience
  • Strong publication record in immuno-oncology, translational medicine, immunology, cancer biology, or related field
  • Strong knowledge of two or more molecular data types (sequencing, gene expression, flow/CyTOF, tissue imaging, or related)
  • Strong programming skills in R
  • Experience with ggplot2, seaborn, matplotlib, or related visualization libraries
  • Experience with command line tools and cloud computing
  • Strong knowledge of statistical concepts relevant to translational research (hypothesis testing, survival analysis, regression, etc.)
  • Experiencing mentoring or managing junior scientists
  • 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
  • Bonus qualifications:
    1. Experience working in a pharma or biotech industry setting
    2. Experience at the bench running flow/CyTOF, imaging, or sequencing assays
    3. Experience in Immuno-Oncology
    4. Experience with clinical research
    5. Experience with database technologies