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.
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The Department of Global Health was established in 2007, bridging the schools of Medicine and Public Health, with a mandate to harness the expertise and interdisciplinary power of all UW schools and colleges. Our mission is to improve health for all through research, education, training, and service; to understand and address the causes of disease and health inequities at multiple levels; and to collaborate with partners to develop and sustain locally-led, quality health systems, programs and policies. Driven by tremendous interest among both students and faculty, the Department has grown explosively to more than 400 graduate students and hundreds more undergraduates. We have more than 380 faculty and 1,000 staff working on projects across 130 countries with our deepest ties in United States, Kenya, Uganda, Peru, Mozambique, India, South Africa, Tanzania, Ethiopia, and Nicaragua. At the Department of Global Health at the University of Washington, diversity is integral to excellence. The Department recognizes that disparities in health around the globe stem from inequity. The Department encourages and supports the multiple identities of staff, faculty and students including, but not limited to, socioeconomic status, race, ethnicity, language, nationality, sex, sexual orientation, gender identity and expression, culture, spiritual practice, geography, mental and physical disability and age. The Department strives to become a local, national, and international leader in developing and maintaining increased representation and recognition of each of these dimensions of diversity among its faculty, staff, and students.
This position will sit in the Global Center for the Integrated Health of Women, Adolescents, and Children (Global WACh) that is based in the University of Washington Departments of Global Health, Obstetrics/Gynecology, and Pediatrics. The mission of Global WACh is to make scientific discoveries, cultivate leaders, and bridge disciplines to advance the tightly connected health and well-being of women, adolescents and children. Global WACh brings together expertise in maternal health from the Department of Obstetrics/Gynecology, neonatal and child health expertise from the Department of Pediatrics, and vast experience working in infectious disease, health metrics and evaluation, education, clinical research, and service delivery within the Department of Global Health. These disciplines combine under a methodology that views women, children, and adolescents as three populations interconnected along a shared life course.
We are seeking a forward-thinking and proactive Senior Data Manager/Analyst to provide data management and data analysis leadership across multiple studies within the Gut Health and Child Survival (GHCS) team within Global WACh. The GHCS team focuses on targeting interventions and approaches to improve survival, growth, and development among vulnerable children globally, with specific attention to children with enteric and neglected tropical diseases. This position will focus on the following primary activities: 1) Oversee the design and implementation of GHCS data management systems, with particular attention to improving system efficiency while also increasing equitable collaborations between UW and its global partners; 2) oversee and implement data cleaning, quality control, and assembly of datasets for implementation and analysis; 3) write data management code and resolve queries; and 4) design and expand report templates, formats and dashboards; 5) conduct high-quality data analysis; and 6) support junior data-managers at UW and abroad in developing skills relating to the primary activities listed here.
Data management, data quality monitoring and assurance (45%) •Lead the development, implementation and documentation of data quality assurance procedures, including drafting code for data queries. •Develop systems for data storage, version control, and archiving practices and serve as the central person responsible for providing analysis datasets to staff, students, PIs •Design and implement data quality control measures, including overseeing monthly reporting for site deliverables. •Work directly with study sites to implement data quality control measures, including frequent phone calls outside of normal work hours and travel to international sites (when permitted). •Advise PIs and study coordinators on case report form design, database choice and set up so as to ensure data collection tools are optimized for eventual analysis and storage •Monitor incoming study data; develop, run and maintain quality assurance code and generate queries in a timely and consistent manner to meet project timelines •Review query responses and error resolution forms submitted by site Data Managers; write and run cleaning code when queries are resolved; maintain audit trail for data cleaning •Work directly with data teams at each study site to improve data quality, including developing and implementing data quality trainings. •Maintain a proactive and forward-thinking approach to data management and data quality that includes a global and local equity-focused lens that will help the GHCS team fulfil its commitment to equitable access and use of the data generate form our research.
Supervision and Mentorship (25%) •Support the data management and data analysis work of junior data managers and graduate students at UW and abroad. •Supervise 1-4 data staff. •Serve as a resource to GHCS projects, staff, and students on data quality and analysis. •Develop data management training materials and lead trainings on data management topics in Seattle and internationally. •Participate in weekly staff and monthly data team meetings.
Epidemiological Research and Data Analysis (25%) •Independently selects and applies standard epidemiological tools for analyses based on available data. •Improve processes and design of research and data analysis. •Analyze complex datasets in R, leveraging familiarity with a variety of methodological approaches and the support of PIs and statisticians, including: - Regression techniques (linear, logistic, Cox proportional hazards, generalized linear) - Survival analysis - Correlated data techniques (GEE, linear mixed effects) •Contribute data analysis and figures to manuscripts, reports, presentations and grant proposals. •Serve as an author on student/trainee led manuscripts and conference abstracts by reviewing and advising on methods and results sections, and where helpful verifying code/results.
Other Duties as Assigned (5%) As a UW employee, you will enjoy generous benefits and work/life programs. For detailed information on Benefits for this position, click here.
REQUIREMENTS: •Master’s Degree in Epidemiology, Biostatistics, Computer Science, Public Health or other field plus four years of relevant (data-specific) work experience. •Extensive experience in the management and manipulation of complex datasets and experience in planning and conducting statistical analyses •Strong statistical skills in STATA or R (R preferred) •Experience building, implementing and managing electronic data collection tools and databases including but not limited to REDCap and ODK-based applications. •Ability to plan and execute applied research and evaluation •Ability to work in a diverse team environment with international collaborators •Excellent writing, communication and interpersonal skills •Strong organizational skills •Experience handling high volume of diverse tasks in a timely manner with consistent accuracy and attention to detail •Demonstrated commitment to valuing diversity and contributing to an inclusive working and learning environment. •Ability and desire to manage data team members •Demonstrated ability to facilitate communication between professionals in a manner that respects cultural differences and contributes to effective partnerships
Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.
DESIRED EXPERIENCE •PhD in Epidemiology, Biostatistics, Computer Science, Public Health or other field plus two years of relevant work experience; •Fluency in R, including familiarity with R Markdown, tidyverse (including ggplot & dyplr packages) applying user-defined functions to object lists, pushing/pulling to Github from R, design of Shiny apps. •Familiarity with STATA. •Strong quantitative skills in traditional analysis approaches (descriptive analysis, linear modelling regression, survival analysis) •Familiarity with less common analytic techniques (causal modeling, correlated data, machine learning techniques) •Experience with clinical trials and/or longitudinal biomedical data •Excellent writing and communication skills •Excellent judgment and interpersonal skills with proven ability in effective cross-cultural communication •Experience or interest in global health, nutrition, enteric diseases and/or child survival •Ability to travel internationally up to 25% of the time (when COVID restrictions are lifted)
CONDITION OF EMPLOYMENT: This full-time 100% position is based at the Hans Rosling Center at the UW in Seattle. This position requires up to 25% international travel (travel is currently on hold due to COVID restrictions). Travelers must be prepared to follow the UW and US government recommended precautions and prophylaxis for travel safety and disease prevention. This position requires frequent participation in early morning and late evening telephone conference calls in order to accommodate time zone differences between Seattle and its country project sites.
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 Workforce 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.
Founded in 1861, the University of Washington is one of the oldest public institutions in the west coast and one of the preeminent research universities in the world. The University of Washington is a multi-campus university comprised of three different campuses: Seattle, Tacoma, and Bothell. The Seattle campus is made up of sixteen schools and colleges that serve students ranging from an undergraduate level to a doctoral level. The university is home to world-class libraries, arts, music, drama, and sports, as well as the highest quality medical care in Washington State and a world-class academic medical center. The teaching and research of the University’s many professional schools provide undergraduate and graduate students the education necessary toward achieving an excellence that will serve the state, the region, and the nation. As part of a large and diverse community, the University of Washington serves more students than any other institution in the Northwest.