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.

The University of Washington International Clinical Research Center (ICRC) was established within the Department of Global Health in 2007. The Center currently has seventeen productive faculty members, approximately 35 highly competent staff who specialize in study operations, regulatory affairs, data management and analysis, and specimen repository operations. The overarching goals of the ICRC are to: 1) Conduct clinical research on HIV and other infectious diseases of public health significance, 2) Evaluate interventions to reduce the burden of disease, 3) Conduct observational analyses and translational research on pathogenesis and new intervention targets, and 4) Mentor graduate students and international collaborators in clinical research.

The ICRC has an outstanding opportunity for a Data Manager/Analyst to perform data management and statistical support for research studies as part of a statistical team.

This position performs data management and provides statistical support to research study operations and reporting as part of a statistical team. This position involves data management of clinical trials and observational research studies for pressing global health concerns such as the prevention of HIV, improving health of HIV-positive people, immunologic, genetic, and virologic cofactors in HIV acquisition, and/or prevention of parasitic infections. This position will include data management, programming and production of study reports, as well statistical summaries and analyses. The position demands understanding of clinical trial design, data management and statistical analysis, and research milestones in a rapidly changing environment. As a member of the statistical team, it requires good interpersonal skills and the ability to work within a team context, as well as the ability to exercise independent judgment and manage competing priorities in a fast-paced environment. This position works directly with the research team of ICRC investigators and international collaborators and reports to the head of the ICRC biostatistical team.

SCOPE OF RESPONSIBILITIES

The position will coordinate and provide data management programming and reports, statistical summaries and analyses for research studies, to support study operations, scientific grants and publications. It may include providing technical and organizational leadership to project staff.

DUTIES AND RESPONSIBILITIES

Data Management (80%)

Develop and maintain study databases. May include laboratory and/or clinical datasets.

Design and implement data quality control measures.

Coordinate with ICRC staff and/or research study site on design of data collection, quality control, data transfer, data management, and report generation, as needed.

Advise on appropriate data collection tools; design and program data collection databases as needed.

Provide timely and accurate responses to data queries.

Generate periodic study and/or external Board reports in a timely and accurate manner.

Provide documented datasets for analysis.

Maintain a proactive and forward-thinking approach to data management and report generation.

Work closely with investigators and operations team to understand project goals and execute reporting and queries to meet project timelines.

Data Analysis (20%)

Prepare tabular, graphical and statistical summary reports in support of investigator research and publication.

Assist in writing papers and review them for correctness and completeness.

Partner with research investigators, faculty, and staff to refine and execute plans to analyze study data that combines multiple laboratory and clinical datasets in support of investigator research and publication.

Work closely with investigators to understand project goals and execute reporting and analysis to meet project timelines.

MINIMUM REQUIREMENTS

Master’s degree (MS or MPH) in Epidemiology, Biostatistics, or relevant field with at least two years of experience in data management or analysis, or equivalent combination of education and experience.

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

ADDITIONAL REQUIREMENTS

Two or more years’ experience in data management or analysis, or equivalent combination of education and experience

Proficient SAS or R programmer with excellent analytical thinking skills

Excellent written and verbal communication skills with culturally diversified partners, technical and non-technical personnel

Experience handling high volume of diverse tasks, under deadlines, with consistent accuracy and attention to detail

DESIRED QUALIFICATIONS

One or more years of experience with clinical trials and/or longitudinal biomedical data

One or more years of experience with laboratory biomedical data

Database management experience involving automated report generation

Programing experience in R and SAS

Computing experience on Windows operating systems

CONDITIONS OF EMPLOYMENT

Must be able to participate in meetings outside usual work hours to accommodate schedules of partners primarily located in Eastern United States, Europe, and in Africa. Some travel to partner sites may be requested.

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.