|Req #: ||131896 |
|Department: ||BIOSTATISTICS |
|Job Location: || University District |
|Job Location Detail: ||UW Tower |
|Posting Date: ||04/27/2016 |
|Closing Info: || Open Until Filled |
|Salary: ||Salary is commensurate with experience and education |
| The University of Washington (UW) is proud to be one of the nation's premier educational and research institutions. Our people are the most important asset in our pursuit of achieving excellence in education, research and community service. Our staff not only enjoys outstanding benefits and professional growth opportunities, but also an environment noted for diversity, community involvement, intellectual excitement, artistic pursuits, and natural beauty. |
The Biostatistics Department's Genetic Analysis Center seeks a Scientific Programmer (Software Engineer) to provide expertise for its several large, sponsored projects in statistical genetics. Because of increasing complexity of the analyses performed by the Center, this new position is sought to provide expertise and leadership in specialized scientific computer programming critical to data analysis by analysts at the Center.
This position requires advanced technical expertise in a specialized area of computational programming. In addition, the position must work extensively with statistical geneticist and the scientific investigators whose studies provide the data for analysis. An understanding of the statistical and scientific process, as well as excellent communication skills in that area, are crucial to the success of the position and the Center.
The Genetic Analysis Center (GAC) and, more generally, the statistical genetics program within the Biostatistics Department, has international prominence. The person filling this position will play a significant role in the Center's ability to meet the obligations of its federal grants and contracts. The Center contributes to the scientific stature of the Department and the University through many publications and brings financial support through grants and contracts. The position will impact several large programs with funding in many millions of dollars, work with local staff of 10-20 (depending on project), and work with tens of external investigators.
The Genetic Analysis Center (GAC) in the University of Washington's Department of Biostatistics works with a variety of genetic and genomic data from human population samples.
The Center is seeking to understand the basis of genetic variation affecting human health, typically involving disease-specific analyses. The datasets involved in these studies typically have over 10,000 samples and tens of millions of genomic variants. The results of these studies will have applications in Precision Medicine.
The GAC staff collaborate with many investigators in medical epidemiology and genomics on study
design, quality control of data, statistical analysis and interpretation of results. A key contribution of the GAC is development and implementation of analysis methods. Due to the scale of the datasets, efficient, optimized code is required and may include applications focused on data analysis pipelines, database development and management, or development of web tools.
Partner with researchers to write optimized code related to analysis of large-scale genomic and epidemiological health data
Work with biostatisticians to translate statistical methods to code
Develop, package, and document software for use by internal GAC analysts and for placing in the public domain as required by federal grants and contracts.
As a UW employee, you will enjoy generous benefits and work/life programs. For detailed information on Benefits for this position, click here.
| Bachelor's Degree in a computational field, including Computer Science, Statistics, or a similar field and at least 4-5 years of relevant experience to include two years programming experience, preferably in a scientific context. |
fluency in Linux/unix command line interface
experience working with large, complex datasets
strong knowledge of either object-oriented Python or R
ability to independently find innovative solutions to existing problems
familiarity with standard software practices: e.g., version control, unit and integration testing, and documentation
strong attention to detail
experience developing reusable, robust software
Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.
| Experience with cloud computing such as AWS |
Basic understanding of genotyping and next-gen sequencing data
Familiarity with MySQL databases: design, implementation, and use
Experience working with scientific researchers
Experience with compute clusters
Familiarity with reproducible research concepts
|CONDITION OF EMPLOYMENT:|
| Appointment to this position is contingent upon obtaining satisfactory results from a criminal background check. |
Dynamic environment involving establishment of good working relationships with external collaborators
and internal staff/faculty
Deadlines and specific work product requirements imposed by contracts
Deadlines established in consultation with external collaborators
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