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SOFTWARE ENGINEER / BIOINFORMATICS SPECIALIST, CENTER for ACTIONABLE VARIANT ANALYSIS

Employer
University of Washington, Genome Sciences
Location
Seattle, Washington State
Salary
$82,116 to $133,440 per year
Closing date
Feb 27, 2022

Job Details

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 Center for Actionable Variant Analysis (CAVA) currently has an outstanding opportunity for a Software Engineer / Bioinformatics Specialist. CAVA is funded by the National Institutes of Health to use cutting-edge genomic technologies to quantify the effects of genetic variation on a massive scale and is co-directed by Drs. Doug Fowler and Lea Starita.  Data generated by CAVA will be used to guide the interpretation of patient genomes, enabling precision medicine. The successful candidate will become an integral part of our diverse, driven team. Working with Dr. Fowler and other members of the Center, they will develop and maintain computational infrastructure including data analysis pipelines and databases used both within and outside the Center. The successful candidate will be comfortable working independently and also as part of a team. CAVA is strongly committed to equity and diversity. We strive to empower all members to realize their potential by learning, acquiring skills and taking on new challenges.

CAVA is located in the Department of Genome Sciences at the University of Washington. The University of Washington is proud to be one of the nation’s premier educational and research institutions. Our people are our most important asset in our pursuit of excellence in education, research, and community service.  Thus, our staff enjoy outstanding benefits and professional growth opportunities as well as an environment noted for diversity, community involvement, intellectual excitement, artistic pursuits and natural beauty.

The Department of Genome Sciences, part of the University of Washington School of Medicine, focuses on answering critical scientific questions by developing and applying genetic, genomic and computational approaches. In particular, we are making major contributions in the application of genomics to understand the fundamentals of biology and to improve human health and wellbeing. Genome Sciences boasts a collaborative, integrated environment supported by a diversity of academic disciplines. We also work with a multitude of others both on the UW campus as well as worldwide. The department has been highly successful, expanding since its beginning in 2001 to 62 training, teaching, and research faculty with annual grant awards of $68.5M in FY21.

RESPONSIBILITIES:

Summary - Develop and maintain data analysis pipelines and laboratory information management systems enabling production-scale functional genomics. Develop and maintain databases, associated APIs, and web applications for sharing data. Collaborate with other developers and a diverse interdisciplinary team including faculty, staff, and outside project collaborators based in different home institutions to define informatics needs for the Center and the external community.

Software maintenance and development - Responsible for contributing to new and existing software tools based on the requirements of users in the Center and the broader scientific community (60%)

Troubleshooting and analysis - Responsible for general troubleshooting alongside other Center researchers to keep analysis processes moving (20%)

Requirements gathering - Support management and technical staff in gathering requirements for software improvements in terms of overall function, fit with laboratory processes, and data reporting and analysis needs (20%)

MINIMUM REQUIREMENTS:
• Bachelor’s degree in computer science, biology, related field, or equivalent experience
• Three years software development experience
• Demonstrated ability to learn new programming languages and frameworks
• Excellent written and oral communication skills
• Ability to interact with staff, faculty, and students at all levels
• Demonstrated ability to work in a dynamic software development environment with minimal supervision

DESIRED EXPERIENCE
• Proficiency in Python, Java, or Node.js
• Experience working in diverse computing environments (Linux, MacOS, Windows)
• Experience applying software engineering best practices including unit testing, continuous integration testing, use of project management software and source code management tools
• Basic knowledge of biology, genetics, genomics, or DNA sequencing
• Familiarity with databases or data management

Application Process:
The application process for UW positions 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 Workforce 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 access your “My Jobs” page. If you select to take it later, it will appear on your "My Jobs" page to take when you are 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.
Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law.
 

Committed to attracting and retaining a diverse staff, the University of Washington will honor your experiences, perspectives and unique identity. Together, our community strives to create and maintain working and learning environments that are inclusive, equitable and welcoming.

The University of Washington is a leader in environmental stewardship & sustainability, and committed to becoming climate neutral. The University of Washington is a leader in environmental stewardship & sustainability, and committed to becoming climate neutral.

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

To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or dso@uw.edu.

COVID-19 VACCINATION REQUIREMENT

Governor Inslee's Proclamation 21-14.2 requires employees of higher education and healthcare institutions to be fully vaccinated against COVID-19 unless a medical or religious exemption is approved. Being fully vaccinated means that an individual is at least two weeks past their final dose of an authorized COVID-19 vaccine regimen. As a condition of employment, newly hired employees will be required to provide proof of their COVID-19 vaccination. View the Final candidate guide to COVID-19 vaccination requirement webpage for information about the medical or religious exemption process for final candidates.

Company

Our goal is to address leading edge questions in biology and medicine by developing and applying genetic, genomic and computational approaches that take advantage of genomic information now available for humans, model organisms and a host of other species. Our faculty study a broad range of topics, including the genetics of E. coli, yeast, C. elegans, Drosophila, and mouse; human and medical genetics; mathematical, statistical and computer methods for analyzing genomes, and theoretical and evolutionary genetics; and genome-wide studies by such approaches as sequencing, transcriptional and translational analysis, polymorphism detection and identification of protein interactions.

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