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BACKGROUND

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 27 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 well-being.

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 $44.5M in FY14. The department has 47 training, teaching, and research faculty.

The Department of GENOME Sciences (GS) currently has an outstanding opportunity for a BIOINFORMATICS ANALYST.

The University of Washington Center for Mendelian Genomics (UW-CMG) is one of several centers supported by the National Human GENOME Research Institute and the National Heart, Lung, and Blood Institute of the National Institutes of Health with an overall goal of identifying the genetic basis of Mendelian conditions for which the underlying cause is unknown. The UW-CMG performs exome sequencing (ES), whole GENOME sequencing (WGS), and /or analysis of ES/WGS data for investigators around the world who are studying Mendelian conditions. The UW-CMG also analyzes ES/WGS data and clinical information from families with Mendelian conditions who have undergone clinical testing but no responsible gene has been identified. The Analyst will be responsible for managing, analyzing, and reporting their findings for Mendelian phenotypes studied at scale while working closely with clinicians and other UW-CMG team members. This individual will take a principal role in solving rare Mendelian diseases that are submitted to the UW-CMG as well as participating in developing and/or implementing new software tools to facilitate this goal.

In general, the UW-CMG releases multiple projects each month.The Bioinformatics Analyst is expected to respond immediately to questions from investigators, provide support for investigators and conduct their own analysis of the data. The analyst is expected to release a detailed report on their analysis to the investigator within one month of data release. The UW-CMG is a highly collaborative environment and there is a significant amount of interaction with internal and external groups.

Position Complexities:
The Bioinformatics Analyst will play an important role in finding causal mutations and genes for rare diseases/Mendelian conditions through the UW-CMG. The position requires the ability to dissect and tackle challenging research questions using a multitude of software tools used to analyze next-generation sequencing data. The position demands organization, attention to detail, and tenacity in determining the genetic underpinning of rare, unsolved Mendelian conditions.

RESPONSIBILITIES

Bioinformatics (100%):

Thrive in a fast paced work environment that requires independent self-direction with an aptitude for team collaboration and open communication.
Work closely with investigators and team members to solve Mendelian projects.
Participate in designing, developing and implementing new tools for solving Mendelian diseases.
Develop detailed reports on Mendelian analysis, highlighting best gene candidates for explaining phenotype.
Provide support in writing manuscripts, abstracts and presentations.
Present analysis findings at group meetings and national conferences.
Other duties may be assigned.

REQUIREMENTS

MS in human genetics, bioinformatics, computer sciences or related field
A minimum 2 years of experience working with next-generation sequencing data and relevant tools for bioinformatics analysis
Strong understanding of human genetics and specifically, Mendelian genetics (e.g. pedigree analysis, inheritance models)
Strong knowledge of exploratory data analyses
Ability to utilize computational tools in common scripting languages (e.g. UNIX, Perl, Python, and R)
Ability to manage projects and solve problems independently
Excellent collaborator with interdisciplinary teams
Strong written and oral communication skills

PREFERENCES

Desired:

PhD or MD/PhD in human genetics, bioinformatics, computer sciences or related field
Experience with conducting genetic linkage analysis
Experience with GENOME-wide and/or gene-based association studies
Experience working with command line-based software for genetic analysis (e.g. PLINK, GEMINI, BCFtools, IGV, and scripting)
Experience working with high performance computing

HOW TO APPLY

Please visit https://uwhires.admin.washington.edu/eng/candidates/default.cfm?szCategory=jobprofile&szOrderID=146667&szCandidateID=0&szSearchWords=Genome%20OR%20Sciencs&szReturnToSearch=1

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 Work Authorization, Criminal Conviction History, 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.

POLICY

Conditions of Employment:
Appointment of the successful candidate to this position may be made contingent upon a satisfactory outcome of a criminal conviction history check.

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