University of Washington Department of Global Health

Senior Data Manager/Analyst

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.

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 Data Analyst/Research Scientist to provide data management and data analysis leadership across multiple studies within the HIV and Co-infections Through the Lifecycle within Global WACh.  This position will focus on the following primary activities: 1) oversee and implement data cleaning, quality control, and assembly of datasets for implementation and analysis; 2) write data management code and resolve queries; and 3) conduct high-quality data analysis.


Epidemiological Research and Data Analysis (75%)
• 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.
• Develop manuscripts
• 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.

Data management, data quality monitoring and assurance (10%)
• 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

Supervision and Mentorship (10%)
• Support the data management and data analysis work of investigators, Master’s and PhD students

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.

Position Requirements:
• PhD in Epidemiology, Biostatistics, Computer Science, Public Health or other field plus two years of relevant work experience; or Master’s Degree in Epidemiology, Biostatistics, Computer Science, Public Health or other field plus 6 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)
• 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.

Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.

Desired Qualifications:
• 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 infectious diseases epidemiology

This full-time 100% position is based at the Hans Rosling Center at the UW in Seattle.

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.

Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law.

Committed to attracting and retaining a diverse staff, the University of Washington will honor your experiences, perspectives and unique identity. Together, our community strives to create and maintain working and learning environments that are inclusive, equitable and welcoming.

The University of Washington is a leader in environmental stewardship & sustainability, and committed to becoming climate neutral.

The University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information.

To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or


Governor Inslee’s Proclamation 21-14.2 requires employees of higher education and healthcare institutions to be fully vaccinated against COVID-19 unless a medical or religious exemption is approved. Being fully vaccinated means that an individual is at least two weeks past their final dose of an authorized COVID-19 vaccine regimen. As a condition of employment, newly hired employees will be required to provide proof of their COVID-19 vaccination. View the Final candidate guide to COVID-19 vaccination requirement webpage for information about the medical or religious exemption process for final candidates.