Careers

Staff Scientist, Translational Data Science

Fred Hutchinson Cancer Research Center launched the Translational Data Science Integrated Research Center (TDS IRC) in December 2018 to expand the breadth and depth of data science at our center. Led by Dr. Raphael Gottardo, the TDS IRC builds on several recent advances in biomedical sciences, including technologies that are driving generation of massive datasets, exponential growth of publicly available data, and revolutionary approaches in statistics, machine learning and artificial intelligence that are changing data analysis. Labs in the TDS IRC develop statistical methods and computational tools for managing and analyzing high throughput, high dimensional data and many labs work closely with translational researchers.

As a Fred Hutch strategic initiative, Fred Hutch values inclusion and a diversity of backgrounds and perspectives to inform its work. It believes in supporting each other through mentorship and providing resources for professional development. Given these values, Fred Hutch strives to make its recruitment and promotion processes fair and transparent. Therefore, it strongly encourages all individuals with an interest in the position to apply.

Responsibilities:

  • Consult with Fred Hutch researchers in search of support and collaboration to solve data science problems
  • Manage and set scientific priorities across projects
  • Develop and optimize computational pipelines to enable the integration and management of large and complex data sets
  • Develop well-documented, properly tested, open-source software for reproducible research
  • Interpret results from computational and statistical analysis
  • Assist with study design and analysis of pre-clinical and clinical trials
  • Participate in the dissemination of research findings
  • Co-author manuscripts for publication

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:

  • Experience in high-dimensional data, particularly at the single-cell level (e.g., scRNA-seq)
  • Experience in cloud computing (e.g., AWS)
  • Experience in immunology

Apply here.