Work in Washington Veterans Jobs

Req #: 232114

Department: DEPARTMENT OF GENOME SCIENCES

Posting Date: 03/19/2024

Closing Info: Open Until Filled

Salary: $7,302 - $11,866 per month

Shift: First Shift

Notes: As a UW employee, you will enjoy generous benefits and work/life programs. For a complete description of our benefits for this position, please visit our website, click here. (https://hr.uw.edu/benefits/wp-content/uploads/sites/3/2018/02/benefits-professional-staff-librarians-academic-staff-20230701_a11y.pdf )

As a UW employee, you have a unique opportunity to change lives on our campuses, in our state and around the world. UW employees offer their boundless energy, creative problem-solving skills and dedication to build stronger minds and a healthier world.

UW faculty and staff also enjoy outstanding benefits, professional growth opportunities and unique resources in an environment noted for diversity, intellectual excitement, artistic pursuits and natural beauty.

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 Department of Genome Sciences (GS) is part of the University of Washington School of Medicine (UW SoM) and is comprised of 31 labs addressing leading edge questions in biology and medicine by developing and applying genetic, genomic and computational approaches taking advantage of genomic information now available for a host of species. GS is making major contributions in the application of genome science to understand the fundamentals of biology and to improve human health and wellbeing. Genome Sciences is a collaborative department supported by very different academic disciplines. We work with a multitude of Program Investigators (PIs) in departments both on the UW campus as well as worldwide. The department has gone through significant expansion since its beginning in 2001 with annual grant awards of $63M in FY23.

The Department of Genome Sciences is committed to creating an environment that is welcoming and inclusive. Our goal is to foster a place of learning and working where all members can thrive and where diversity is recognized and celebrated. At Genome Sciences, we aim to create supportive spaces for those who are marginalized in higher education or society. To achieve this, we recognize that it is our ongoing responsibility to understand, acknowledge, and challenge systems of privilege and disadvantage in higher education such as those based on race, color, creed, caste, religion, national origin, citizenship, sex, age, marital status, sexual orientation, gender identity or expression, disability, veteran status, or socioeconomic status.

POSITION PURPOSE The Department of Genome Sciences has an outstanding opportunity for a Software Engineer (E S 9). The MacCoss Lab is focused on the development and application of novel proteomics technology. A major effort in this area is the development of Skyline software ecosystem to support the analysis and interpretation of mass spectrometry data. The Software Engineer will join the Skyline Team supporting the software efforts of the MacCoss Lab and will research, develop, and extend and support proteomics software tools.

DIMENSIONS AND IMPACT TO THE UNIVERSITY This position will work in a prominent laboratory whose work impacts other researchers worldwide. High functionality will be reflected in even greater funding opportunities and enhancement of the reputation of the University as a biomedical research powerhouse.

DUTIES AND RESPONSIBILITIES Software Development (50%)

• Develop proteomics software research tools and place them into production. This includes the development of both client and server-side software. This position will require the development of novel computational methods for the analysis of complex mass spectrometry data.Algorithms Research (25%)

• Research, test, and implement novel algorithms, especially applying machine learning with neural networks to recognize signal in noisy data.Data Analysis (10%)

• Analyze complex time course data using novel in-house developed software tools.Train new users on the use of these tools (10%)Mentor junior software developers in the creation of professional quality software tools (5%)

• Other duties as assigned. MINIMUM REQUIREMENTS

• BA or BS in Computer Science, Engineering or related field.

• 4+ years of experience developing C/C++, C#, and Java applications as well as experience in SQL.

• Equivalent education/experience will substitute for all minimum qualifications except where there are legal requirements such as a license/certification/registration. ADDITIONAL REQUIREMENTS

• Experience developing GUI software and the development of web based relational database repositories in a Windows environment.

• Experience with XM.

• Experience handling large software projects and working with and supporting a group of researchers.

• This position requires a strong scientific background and experience in both Windows client and server-side software development. DESIRED QUALIFICATIONS

• MS or PhD in Computer Science, Engineering or related field.

• Experience working in a life science research environment developing GUI applications, XML, signaling processing and statistical analysis.

• Experience applying machine learning neural networks to complex data formats.

• Experience with cloud computing, virtual machines and automated processing pipelines.

• Experience with Apache, Tomcat, and proteomics also helpful but not required.

• Demonstrated commitment to valuing diversity and contributing to an inclusive working and learning environment. CONDITIONS OF EMPLOYMENT

• Standard Lab Environment.

• Hybrid - remote work M&F with in-office core hours TWTh 10:00-4:00. Application Process: The application process may include completion of a variety of online assessments to obtain additional information that will be used in the evaluation process. These assessments may include Work Authorization, Cover Letter and/or others. Any assessments that you need to complete will appear on your screen as soon as you select “Apply to this position”. Once you begin an assessment, it must be completed at that time; if you do not complete the assessment, you will be prompted to do so the next time you your “My Jobs” page. If you select to take it later, it will appear on your "My Jobs" page to take when you are access ready. Please note that your application will not be reviewed, and you will not be considered for this position until all required assessments have been completed.

University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, religion, color, national origin, sexual orientation, gender identity, sex, age, protected veteran or disabled status, or genetic information.