STATISTICAL GENETICIST, RESEARCH SCIENTIST 4
|Req #: ||143633 |
|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 Statistical Geneticist.
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 variants contribute to human well-being and disease. The genetic data include variations assayed by whole-genome sequencing or micro-arrays, and the health data cover a broad range of traits, particularly 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, experimental design, interpretation and reporting of results for statistical genetics/genomics projects, both independently and in collaboration with other staff of the Genetics Coordinating Center (GAC). Current activities include participation in the Trans-Omics for Precision Medicine (TOPMed) project (www.nhlbiwgs.org), which is a cutting-edge initiative to identify genetic risk factors for heart, lung and blood diseases using whole-genome sequencing and other genomics assays, such as metabolomics and transcriptomics. The GAC is the TOPMed Data Coordinating Center, which provides TOPMed with quality control of genomic data, harmonization of clinical phenotypes and genotype-phenotype association testing. We also develop new statistical methodology for integrating genomic and clinical data, to understand the genetic basis of variation in health and disease.
The responsibilities of this position involve the following activities:
Work with GAC faculty and staff to develop goals and strategies for data analysis and experimental design.
Create, manipulate, and merge large and complex data sets.
Stay informed about new methods in statistical genetics and understand how to apply them appropriately.
Program statistical data analysis of large data sets efficiently using parallel computing locally and in a cloud environment.
Develop, package and document software for use by GAC staff and others.
Summarize and communicate results of analyses to GAC staff and clinical collaborators.
Interpret results; identify potential problems and their solutions.
Perform simulations to support statistical methods development.
Prepare results for publications, work with collaborators in writing publications and, in some cases, take the lead in writing publications. Participate in writing grant applications
As a UW employee, you will enjoy generous benefits and work/life programs. For detailed information on Benefits for this position, click here.
| MS and 4 years of experience or (preferably) PhD and 2 years of experience in a quantitative field of science where management and interpretation of large and complex data sets was undertaken. This training should have made extensive use of advanced computational and statistical techniques. |
Knowledge of or ability to quickly learn both the biology and statistics required for analysis of projects relating to translational, genetic, or genomic research.
Experience in management, analysis and interpretation of large and complex scientific data sets.
Ability to detect problems in data or analytic results and find appropriate remedies.
Experience in statistical software packages (e.g. R, SAS, STATA, S-Plus, SPSS).
Excellent communication skills and ability to translate complex genetic or medical research questions into statistical questions.
Ability to write clearly and prepare results for publication.
Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.
| Ph.D. in statistics with specific experience in statistical genetics |
Publications in statistical genetics
Advanced skills with R and Linux/Unix systems
Experience with cloud computing
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.