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BACKGROUND

Fred Hutchinson Cancer Research Center, home of three Nobel laureates, is an independent, nonprofit research institution dedicated to the development and advancement of biomedical research to eliminate cancer and other potentially fatal diseases. Recognized internationally for its pioneering work in bone-marrow transplantation, the Center's five scientific divisions collaborate to form a unique environment for conducting basic and applied science. The Hutchinson Center, in collaboration with its clinical and research partners, the University of Washington and Seattle Children's, is the only National Cancer Institute-designated comprehensive cancer center in the Pacific Northwest. Join us and make a difference!

RESPONSIBILITIES

The successful applicant will work with Dr. Raphael Gottardo to support the development of software packages to analyze and integrate high throughput data from immunological assays. The position will involve the development of R / Bioconductor packages for the analysis of high-throughput data, including computational algorithms development and implementation of creative solutions for large volume data management and processing.

The statistical programmer will independently determine programmatic approaches to problems and develop algorithms and software programs that are reusable, computationally efficient and effective. The successful applicant will be expected to not only implement state-of-the art computational algorithms but also to independently develop novel algorithms relevant to the analysis of high throughput assays.
Responsibilities:

May include some or all of the following:
1. Analysis
a. Create analysis datasets from statisticians' specifications.
b. Communicate with statisticians (faculty, statistical research associates), laboratory scientists, clinicians, programmers and information systems staff to understand and develop requirements and specifications for analysis datasets and analysis programs.
c. Develop novel computational algorithms that outperform state-of-the art algorithms
d. Create, document and validate programs, data, data pipelines, data distribution plans, and data storage.

2. Data management and high performance computing
a. Implement creative solutions for large volume data management challenges
b. Create high performance computing solutions for processing large data sets

REQUIREMENTS

Because the applicants will be expected to 1) develop novel statistics/machine learning type algorithms for processing large immunological datasets, 2) implement creative solutions for large volume data management challenges, 3) create high performance computing solutions for processing large data sets, an MS degree (or higher) in computer science or related field is required.

Knowledge of R and C/C++ a must.
Experience with relational databases, database schema design, SQL and/or netCDF / HDF5 file formats
Familiarity with bioinformatics workflows
Familiarity with high performance computing using openmpi, openmp, and GPUs
Must be organized and detail-oriented, with good oral and written communication skills.

LOCALE

Seattle, WA

COMPENSATION

Pay, Benefits, and Work Schedule
Full-time position
Salary DOE + excellent benefits - Grade 31

HOW TO APPLY

To apply for this position please go to http://www.fhcrc.org/about/jobs/index.html, reference number 24122, and click on the "Apply Now" button below. If you have not previously registered with us you will be prompted to do so; otherwise, please follow the online directions to submit your resume and/or cover letter.

POLICY

The Fred Hutchinson Cancer Research Center and The Seattle Cancer Care Alliance are equal opportunity employers, committed to workforce diversity.

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