Research Consultant, University of Washington

Location: Seattle, Washington

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Summary:

The University of Washington International Clinical Research Center (ICRC) specializes 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

4) Mentor graduate students and international collaborators in clinical research.

The ICRC is seeking 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. This position works directly with the research team of ICRC investigators and international collaborators and reports to the head of the ICRC biostatistical team.

Roles and 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.

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.

Basic Qualifications:

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.

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