DATA ANALYST - RESEARCH SCIENTIST 3
|Req #: ||143640 |
|Department: ||BIOSTATISTICS |
|Appointing Department Web Address: ||http://www.biostat.washington.edu |
|Job Location: || University District |
|Job Location Detail: ||UW Tower |
|Posting Date: ||03/29/2017 |
|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 University of Washington's Department of Biostatistics has an outstanding opportunity for a full time Research Scientist.
The Genetic Analysis Center (GAC, www.biostat.washington.edu/research/centers/gac) in the Department of Biostatistics develops and applies statistical methods to genetic and health-related data, to discover how genetic variation contributes to human well-being and disease. The genetic data include variations assayed by whole-genome sequencing and micro-arrays, and the health data cover a broad range of traits, including complex diseases such as diabetes, asthma, atherosclerosis, and cancer; as well as responses to drug treatments. The projects are funded by various parts of NIH, but also non-profits and industry. Current major projects are the Trans-Omics for Precision Medicine (TOPMed) Data Coordinating and Analysis Centers (www.nhlbiwgs.org) and statistical/analytic support for the National Institutes of Health Center for Inherited Disease Research (NIH-CIDR) program (http://www.cidr.jhmi.edu/services/Services.html).
Provide data analysis, programming, and reporting of results for statistical genetics/genomics projects, both independently and in collaboration with other staff of the GAC. Two current project examples: (1) In the NIH-CIDR program, we collaborate with investigators at CIDR and with clinical study investigators to perform quality control and analysis of genotype data obtained from next generation sequencing and/or micro-array assays performed at CIDR. This involves data management, quality control procedures, estimating genotyping error rates, imputing genotypes for unmeasured variants, and performing genotype-phenotype association analyses. Presentations are given regularly to our collaborators, documenting progress, interpreting results, and discussing issues that arise. A written report is provided at the end of the project. (2) In the TOPMed program, we perform quality control of genotype data, estimate relatedness and population structure in genotypes from whole-genome sequencing, harmonize phenotypes across multiple studies and perform pooled genotype-phenotype analyses. We also use genome annotations to select rare variants for aggregate testing. Results of these analyses are QC'ed and presented to TOPMed investigators, with interpretation of results and discussion of relevant issues. In both projects, we participate in preparing manuscripts for publication, writing and editing methods descriptions, designing and creating figures and tables, and undertaking revision after peer review.
These responsibilities involve the following activities:
Work with clinical collaborators and GAC staff to develop goals for data analysis.
Create, manipulate, and merge large and complex data sets.
Program statistical data analysis of large data sets efficiently using R and parallel computing.
Write reusable functions in R, document and package code and follow standards for reproducible research.
Summarize and communicate results of analyses to GAC staff and clinical collaborators.
Assist in preparation of manuscripts for publication.
Training for these activities will be provided through working closely with experienced team members. The GAC provides a highly collaborative and collegial environment in which team members across the group share expertise and mentor each other. Continuing education opportunities include attending workshops, short courses and conferences.
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 in a scientific field (such as mathematics, statistics, computer science or quantitative genetics) and at least 3 years of relevant experience; OR a Master's in a scientific field and at least 1 year of relevant experience. |
Experience managing, analyzing and interpreting scientific data sets, and analysis of these data
Knowledge of or willingness to learn specialized statistical skills for projects relating to translational, genetic, or genomic research.
Experience in statistical software packages (e.g. R, STATA, S-Plus, SPSS)
Excellent communication skills
Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.
| B.S. and/or M.S. degree in biostatistics |
Background in genetics, genomics and statistics
Experience with R and Linux/Unix systems
Familiarity with reproducible research principles and tools (e.g. git, R Markdown/Sweave)
|CONDITION OF EMPLOYMENT:|
| Appointment to this position is contingent upon obtaining satisfactory results from a criminal background check. |
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, 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.