Fred Hutchinson Cancer Research Center

Staff Scientist, Lead Immunotherapy Bioinformatician

Fred Hutchinson Cancer Research Center

Seattle, WA, United States

Overview

Cures Start Here. At Fred Hutchinson Cancer Research Center, home to three Nobel laureates, interdisciplinary teams of world-renowned scientists seek new and innovative ways to prevent, diagnose and treat cancer, HIV/AIDS and other life-threatening diseases. Fred Hutch’s pioneering work in bone marrow transplantation led to the development of immunotherapy, which harnesses the power of the immune system to treat cancer. An independent, nonprofit research institute based in Seattle, Fred Hutch houses the nation’s first cancer prevention research program, as well as the clinical coordinating center of the Women’s Health Initiative and the international headquarters of the HIV Vaccine Trials Network. Careers Start Here.

Lead Immunotherapy Bioinformatician – Staff Scientist

Fred Hutch is a leading force in cancer immunotherapy research, a field dedicated to understanding how we can harness the immune system to treat cancer. This research arena spans an incredibly diverse spectrum of scientific questions ranging from understanding the form and function of the tumor immune microenvironment, augmenting the endogenous immune response to tumors, to crafting custom immune responses through gene editing approaches. The Adair, Bleakley, Dudakov, Headley, and Rongvaux labs, a core group of Junior Faculty within the Fred Hutch Immunotherapy and Translational Data Science Integrated Research Centers (IIRC and TDS-IRC), are seeking a PhD level bioinformatician to fill a Staff Scientist position working within and across the five groups.

The Staff Scientist will implement existing analysis platforms and help drive the development of cutting-edge new tools and technologies targeted at understanding the cellular and molecular underpinnings of immune responses to cancer. This position provides the opportunity to work on a diverse range of datatypes from transcriptomic and epigenomic analysis (both bulk and single cell), trajectory analysis of immune cell differentiation, high dimensional protein analysis through flow cytometry and CITEseq, and mutational analysis in gene-edited cells. The incumbent will participate in grant and manuscript preparation, experimental design and execution, and presentation of results in local and national meetings. They will also have the opportunity to participate in multidisciplinary collaborations involving laboratory-based scientists (immunologists, cancer researchers), clinical investigators, biostatisticians, data scientists, programmers and computational biologists through associations with the Fred Hutch IIRC and TDS-IRCs. We are looking for an individual who is truly passionate about applying data science to big questions in cancer immunotherapy.

We as a group value inclusion and a diversity of backgrounds and perspectives to inform our work. We believe in supporting each other through mentorship and providing resources for professional development. Given these values, we strive to make our recruitment and promotion processes fair and transparent. Therefore, we strongly encourage all individuals with an interest in the position to apply. To learn more about our groups please visit our lab websites and those of the Immunotherapy and Translational Data Sciences IRCs.

Adair Lab
Bleakley Lab
Dudakov Lab
Headley Lab
Rongvaux Lab
Fred Hutch IIRC
Fred Hutch TDS-IIRC

Responsibilities

  • Provide dedicated and collaborative bioinformatic support to the Adair, Bleakley, Dudakov, Headley, and Rongvaux labs across a diverse range of projects and modalities
  • Manage and set scientific priorities across projects
  • Develop and optimize computational pipelines to enable the integration and management of large and complex data sets
  • Interpret results from computational and statistical analysis
  • Assist with study design and analysis of pre-clinical and clinical trials
  • Identify and implement new and cutting-edge analysis approaches for relevant data types
  • Participate in the dissemination of research findings
  • Co-author manuscripts for publication
  • Educate savvy postdoctoral fellows, graduate students, and research technicians in basic tools to visualize their complex datasets

Qualifications

Minimum qualifications:

  • PhD or equivalent degree in bioinformatics, computational biology, biostatistics, statistics, computer science, or a related field.
  • Experience in analysis of next generation sequencing data
  • Excellent programming skills (python, R, C/C++, Java) including best software development practices (e.g. design, unit tests, documentation, code review)
  • Excellent interpersonal, oral and written communication skills
  • Strong work ethic
  • Ability to work in a team, and supervise junior team members
  • Ability to manage multiple projects and to meet deadlines

Preferred qualifications:

  • Understanding of immunology and/or immunotherapy
  • Experience in single-cell analysis
  • Experience in clonal and mutational analysis
  • Experience in ATACseq analysis
  • Experience in analysis of high dimensional flow cytometry

Our Commitment to Diversity

We are committed to cultivating a workplace in which diverse perspectives and experiences are welcomed and respected. We are proud to be an Equal Opportunity and VEVRAA Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability, marital or veteran status, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We are an Affirmative Action employer. We encourage individuals with diverse backgrounds to apply and desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to our Employee Services Center at escmail@fredhutch.org or by calling 206-667-4700.

Not ready to apply? Connect with us for general consideration.

Please apply via recruiter’s website.

Quote Reference: 13994

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