[R-jobs] Programmer position in the Gottardo lab at the Fred Hutchinson Cancer Research Center

[Greg Finak]

The Gottardo lab at the Fred Hutchinson Cancer Research Center in Seattle has an opening for a programmer. 

To apply: 
https://erecruit.fhcrc.org/psp/RECRUIT/EMPLOYEE/HRMS/c/HRS_HRAM.HRS_CE.GBL?Page=HRS_CE_JOB_DTL&Action=A&JobOpeningId=24122&SiteId=2&PostingSeq=1

The position description is below:

About Us

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! 

Job Summary: 

The successful applicant will integrate a dynamic team of biostatisticians, bioinformaticians, computer scientists, and programmers lead by Dr. Raphael Gottardo to support the development of software packages to analyze and integrate high throughput data from next generation immunological assays (e.g. Fluidigm, CyTOF, next generation sequencing). The position will involve the development of efficient 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 candidate will have access to state of the art assay data generated by cutting edge projects in infectious disease and vaccine development, as well as a state of the art computing infrastructure including brand new CPU and GPU clusters 

Scope of Responsibilities: 

The scientific programmer will independently determine programmatic approaches to problems and develop algorithms and software programs that are computationally efficient, effective, and well documented for public release. The successful applicant will be expected to not only implement state-of-the art computational algorithms but also contribute to the development of novel algorithms relevant to the analysis of high throughput assays. 

Responsibilities (May include some or all of the following): 

1.	Analysis: 
a. Identify current computational bottlenecks in data analysis for specific assays 
b. Communicate with statisticians, 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. 
e. Develop custom graphical user interfaces (GUIs) for the tools developed. 

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 


Minimum Qualifications: 

Because the applicants will be expected to 1) develop novel computational 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, bioinformatics, statistics, biostatistics or related field is required. 
- Proficient in C/C++ a must 
- Proficient in some scripting language such as R/Perl/Python 
- Experience with relational databases, database schema design, SQL and/or netCDF / HDF5 file formats 
- Familiarity with bioinformatics workflows would help 
- Familiarity with high performance computing using openmpi, openmp, and GPUs 
- Must be organized and detail-oriented, with good oral and written communication skills

Pay,Benefits, & Work Schedule

Salary DOE+ excellent benefits - Grade 31 

Internal candidates send resume directly to:  nchavez using fhcrc.org 

Reference: NC24122/SCHARP (Vaccine & Infectious Disease Institute) - Scientific Programmer 

(Gottardo)

How To Apply

Please provide a formal cover letter with CV or Resume. 

To apply for this position please 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.

Equal Employment Opportunity

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


Greg Finak, Ph.D
Post-doctoral Research Associate
PS Statistics, Vaccine and Infectious Disease Division.
Fred Hutchinson Cancer Research Center
Seattle, WA
(206)667-3116
gfinak using fhcrc.org







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