Data Scientist II/III

Job ID
Regular Full-Time
Fred Hutchinson Cancer Research Center
Biostatistics, Bioinformatics and Computational Biology


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.


At Fred Hutch, we believe that the innovation, collaboration, and rigor that result from diversity and inclusion are critical to our mission of eliminating cancer and related diseases. We seek employees who bring different and innovative ways of seeing the world and solving problems. Fred Hutch is in pursuit of becoming an antiracist organization.  We are committed to ensuring that all candidates hired share our commitment to diversity, antiracism, and inclusion.   


The Data Scientist II/III provides collaborative and innovative analytic support for the Vaccine Immunology Statistical Center (VISC) and Vaccine Statistical Support (VSS) programs, leveraging novel statistical and machine learning techniques to analyze complex immunological assay data from clinical and pre-clinical studies. The Data Scientist will be responsible for designing and developing computational pipelines for data processing, implementation of exploratory and predictive statistical analyses, developing novel statistical and computational approaches, visualization of data, and communication and presentation of results.


  • Develop computational pipelines to preprocess and analyze large volumes of complex and high-dimensional immunological (e.g., single-cell and BCR sequencing) and virological datasets from laboratories collaborating with VISC and VSS.
  • Develop and deploy modern statistical and machine learning algorithms, predictive models, and classification methods to advance vaccine and infectious disease research.
  • Design and implement statistical analysis plan to gain insights into vaccine immunogenicity and efficacy, in collaboration with immunologists and vaccine researchers.
  • Develop novel statistical and algorithmic approaches to enable novel analysis of complex data sets.
  • Build open-source, reusable scripts.
  • Communicate results from data analysis to technical and non-technical audiences.

Data Scientist III Only:

  • Supervise Data Scientists I/II and Statistical Research Associates working on joint projects.
  • Manage data science projects from creation to completion.
  • Identify areas of growth for the data science initiative and actively engage in enhancing the breadth and reach of data science across the Fred Hutch campus.



  • PhD degree in Statistics, Biostatistics, Bioinformatics, Mathematics, Computer Science or equivalent required.
  • Core experience in analysis of immunological data sets, including flow cytometry, genomics, sequencing data.
  • Based on the candidate’s experience, they will be hired at one of two levels:
    • Data Scientist II: A minimum of two years of related experience.
    • Data Scientist III: A minimum of five years of related experience.


  • A strong interest in exploring complex and messy immunological data sets to uncover patterns
  • A strong interest in advancing immunological and vaccine research.
  • Highest scientific rigor and integrity.
  • Strong oral and written communication and critical thinking skills are a must for this position.
  • Ability not only to work autonomously, but also to work collaboratively within multidisciplinary teams including statisticians, computational biologists, statistical research associates and programmers, immunologists, vaccine researchers, program managers, etc.
  • Dedication to open and reproducible research.
  • Demonstrated ability to work successfully as part of a diverse team with a commitment to equity and inclusion.



  • Proficiency in R or Python.
  • Demonstrated expertise in statistical analysis, machine learning and predictive modeling applied to large biological data sets.
  • Knowledge of immunology and vaccine research.
  • A variety of data formats and markup languages (e.g. RMarkdown, XML, JSON).
  • Unix/Linux and distributed computing.
  • Visualization software: Shiny, Javascript, D3.
  • Big data platforms: Hadoop, Hive, and/or MapReduce.
  • Code version control (Git, Github) and containers (Docker).
  • Proficiency in common object-oriented programming language (e.g. Java, C++, C#).

Fred Hutch has a mandatory COVID-19 vaccine requirement, with exceptions only for approved medical or religious accommodations.
As a condition of employment, newly hired employees must provide proof of vaccination or initiate the accommodations process before their first day of employment. 


A statement describing your commitment and contributions toward greater diversity, equity, inclusion, and antiracism in your career or that will be made through your work at Fred Hutch is requested of all finalists.

Our Commitment to Diversity

We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We are committed to cultivating a workplace in which diverse perspectives and experiences are welcomed and respected. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, 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 or by calling 206-667-4700.


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