Post-Doctoral Research Fellow, Computational Biology and Immunotherapy


Fred Hutchinson Cancer Research Center
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Post Date: May 13, 2017
Job Type: Full time
Degree Requirement: Doctoral Level
Years Experience: Entry Level
Location: US - Washington - Seattle
Job Reference: 9150
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Description
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 and largest 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.

The investigators in the Immunotherapy Integrated Research Center are seeking a Post-Doctoral Researcher in Computational Biology and Immunotherapy to join their dynamic team.

Responsibilities

The successful candidate will work with investigators in the Immunotherapy Integrated Research Center at Fred Hutch (IIRC members) to develop novel computational methods and tools for immunological assay data. The candidate will then use these tools to analyze and integrate data generated within the IIRC and help interpret results in preparation for publications. Collaboration on a wide range of projects will be possible, with the research project structured to match the successful candidate’s interests. Both pre-clinical and clinical projects are ongoing, and there is a strong interest in expanding analysis of correlative studies associated with cell therapy trials. Data sources include single cell RNA sequencing, ATAC sequencing, mass spectrometry, multi-color flow, TCR/BCR sequencing, multi-spectral immunohistochemistry, and other novel methods.

In general, we expect the successful candidate to either develop 2-3 collaborations with various groups analyzing related data types or develop an extensive collaboration with a single immunotherapy lab to analyze multiple data types. In either case, the post-doc will have a primary home in the lab of Dr. Raphael Gottardo (http://www.rglab.org/ and R. Gottardo) and collaborative associations with one or more immunotherapy groups (IIRC members).

Skills
Qualifications

Suitable applicants should have a recent PhD degree in statistics/biostatistics, computer science, or other fields with strong quantitative training or experience. The candidate must have a strong desire to collaborate simultaneously with experimentalists and computational biologists. Advanced programming skills (R, Python, and/or C++) and previous experience analyzing high throughput biological are required. Knowledge in immunology is an advantage.