University of Washington
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. 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. All of which has allowed the UW to be nationally recognized as a "Great College to Work For" for four consecutive years.
The Department of Genome Sciences (GS) is part of the University of Washington School of Medicine and is comprised of 26 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 $67M in FY17. The department has 47 training, teaching, and research faculty.
The Department of Genome Sciences currently has an outstanding opportunity for a RESEARCH SCIENTIST/ENGINEER 1.
This researcher will execute computational analyses and develop research code in the Beliveau lab. In addition to dry lab work, this person will also help interface with the experimental wet lab portion of the group.
Must be proficient coding in Python and/or a similar language such as R. Must be able to access and process genomics data from a variety of sources (eg UCSC, NCBI) and construct and deploy analysis pipelines with minimal oversight.
90%: Development and deployment of analysis code to further research projects in the lab and collaborative work.
10%: Assisting other members in the lab with basic computational tasks.
B.S. in Biology, Computer Science, or related area and 3+ months experience working in a laboratory/research setting.
Must be proficient coding in Python and/or a similar language such as R.
Experience with cluster computing
Experience with machine learning
Dry lab position, 70% FTE.
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 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 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.
Committed to attracting and retaining a diverse staff, your experiences, perspectives and unique identities will be honored at the University of Washington. Together, our community strives to create and maintain working and learning environments that are inclusive, equitable, and welcoming.
About University of Washington
University of Washington is an educational institution that provides undergraduate, graduate, and research programs.