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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.
Department of Emergency Medicine has an outstanding opportunity for Research Consultant.
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 enjoy outstanding benefits and professional growth opportunities, but also an environment noted for diversity, community involvement, intellectual excitement, artistic pursuits, and natural beauty. At the University of Washington, diversity is integral to excellence. We value and honor diverse experiences and perspectives, strive to create welcoming and respectful learning environments, and promote access, opportunity and justice for all.
The University of Washington Department of Emergency Medicine established the Section of Population Health in 2018. Population health is broadly defined as both the elimination of diseases and injuries, as well as the intersecting and overlapping factors that influence health. Our Section consists of more than ten faculty, many with extramural research funding, and a robust educational program. Although individual faculty interests vary, we have largely concentrated our research, education, advocacy and service activities on developing and evaluating systems of care serving communities local and globally, often focusing on underserved and vulnerable populations and the associated social, economic and environmental determinants of health. Current and past funding includes the National Institute on Drug Abuse (NIDA), National Institute on Mental Health (NIMH), National Institute on Aging (NIA), NASA, and University of Washington internal grants through the Population Health Pilot Grant, Institute of Translational Health Sciences (ITHS) and Global Innovation Fund. Similarly, broad, our research portfolio includes a blend of domestic and international health services, impact evaluations, informatics and clinical trials. Examples of current research include improving care of patients with opioid use disorder, increasing linkage to care for refugees with HIV in Uganda, examining ED-based screening for social determinants of health, and evaluating the impact of the Medicaid Transformation Project on ED utilization in King County.
This position will be a multifaceted role entailing data management, complex statistical analysis, and reporting of data related to projects within the Section of Population Health. The Section’s projects bring together multiple clinical and academic disciplines, academic collaborations within and outside the University of Washington, and a variety of community and governmental partners to investigate healthcare utilization, clinical outcomes, costs, and patient reported outcomes especially as it relates to the provision of emergency care and interventions for vulnerable populations.
This position requires a flexible candidate willing to build a program with faculty guidance. The candidate will be expected to apply scientific knowledge gained through formal education and experience to maintain sophisticated database structures that support data collection and analysis for the Section’s research projects. The role requires an understanding of and experience in advanced statistical analyses and database management. The individual will work with a variety of healthcare data sources including data collected from hospital electronic records, administrative claims data, vital statistic records, and patient-reported survey data, among others. Additionally, a research background and understanding of research principals and methodology are required. The candidate is expected to be able to work closely with a diversity of investigators/partners in order to operationalize data analyses to achieve research aims.
RESPONSIBILITIES:
Development of Data Collection for Study Design and Data Analysis (70%)
In partnership with Principal Investigators and research faculty, develop and operationalize detailed statistical analysis plans that match with desired research outcomes
Comprehend and interpret complex data files using data field codes and data dictionaries
Support the design of, use, and successfully manipulate large clinical and administrative databases for analysis of data (i.e. hospital data, administrative claims data, vital status records, healthcare payer claims data-sets, and patient reported survey data)
Complete complex statistical analysis of data using R, SAS, or STATA
Assess and analyze research project aims and milestone goals and provide input in the development of appropriate work timelines based on available data and research databases
Data Management (30%)
Generate database queries/reports using Microsoft SQL and Access
Proactively manage databases and acquired data, ensure accuracy of data and participate in quality control activities
Develop and validate complex outcome measures and other derived variables based on large-scale healthcare data
As needed, serve as a liaison between the project team and data vendor/sources to communicate data needs and facilitate data delivery
Complete and maintain appropriate regulatory approvals such as data use agreements, human subjects review, as necessary for the project
Design, test, and implement methods and formats for data reporting
Other duties as assigned
MINIMUM REQUIREMENTS:
Master's degree in Biostatistics, Health Services, Epidemiology, or related area and two to four years’ experience in a related area or equivalent with at least one year of experience with secondary analysis from existing large data-sets
Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.
DESIRED:
Ph.D. in Biostatistics, Health Services, Epidemiology, or comparable field
Experience in statistical analysis
Experience with R, SAS, STATA, or other coding language
At least one year of experience with secondary analysis from existing large data-sets, particularly claims data such as Medicare claims, Medicaid claims, Truven Marketscan, Optum, etc.
Experience with database management
Experience with Microsoft SQL & Access
Demonstrated ability to participate productively in interdisciplinary research teams
Strong quantitative aptitude, desire to learn new skills and information, and ability to interpret complex analytic quantitative information
Strong sense of focus and attention to detail
Demonstrated organizational skills, self-motivation, flexibility, strong communication skills
Experience with Epic, Cerner, or other electronic medical record system. Familiarity with Amalga
Experience with scientific writing and interest in making significant content contributions to manuscripts and presentations as well as technical reports for sponsors or partners, especially with presentation and visualization of data
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, 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.
University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, religion, color, national origin, sexual orientation, gender identity, sex, age, protected veteran or disabled status, or genetic information.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Research, Analyst, and Information Technology
Industries
Higher Education
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