Statistical Center for HIV/AIDS Research and Prevention (SCHARP)

Research / Collaborations

SCHARP is involved in network studies worldwide.

Graphic by Jim Woolace / Fred Hutch

SCHARP provides statistical expertise and data management services to clinical researchers around the world and conducts a complementary program of statistical methodology, and mathematical modeling research.  For many projects and networks, SCHARP is the Statistical and Data Management Center enabling the successful management, design and analysis for these projects.

Brent Douglas (left) and Jon Ringuette review map for new data storage system to support the mountain of data that SCHARP collects.

Photo by Bo Jungmayer / Fred Hutch News Service

Our research partners consists of faculty and scientific staff from Fred Hutch's Vaccine and Infectious Disease Division and Biostatistics, Bioinformatics and Epidemiology Program and the HIV Prevention Network (HPTN), Microbicides Trial Network (MTN), the HIV Vaccine Trials Network (HVTN), the Collaboration for AIDS Vaccine Discovery (CAVD) and Vaccine Immunology Statistical Center (VISC). 

SCHARP and our research partners are skilled in clinical and lab data management, programming, statistics, IT data systems and project management. Having all these this capabilities in-house is an attractive component for research funders and gives us broader flexibility and control over the data.

Key SCHARP Projects

The Microbicide Trial Network (MTN) is an HIV/AIDS clinical trials network established in 2006 whose work is focused on the development and rigorous evaluation of promising microbicides to prevent the sexual transmission of HIV.  The MTN's Statistical and Data Management Center (MTN SDMC) is based at the SCHARP at Fred Hutch and is led by Elizabeth Brown, ScD. The MTN SDMC is responsible for providing statistical leadership and facilitating all aspects of the collection, management, and analysis of data for MTN studies. The MTN SDMC manages the MTN study databases and guides protocol teams on the statistical components of study design, operational aspects of study data collection, and analysis of study data. In addition, MTN SDMC faculty lead and contribute to analyses related to the development and implementation of innovative statistical and epidemiological approaches to improve the scientific understanding of HIV risk, how microbicides reduce this risk, and how this reduction may be modified or influenced by biological and behavioral factors.

Elizabeth Brown, ScD

Member, Vaccine and Infectious Disease Division
Member, Public Health Sciences Division
Research Professor, Biostatistics, University of Washington
Graduate Faculty, Biostatistics, University of Washington
PI, Statistical and Data Management Center, Microbicide Trials Network


The HIV Vaccine Trials Network (HVTN) is an HIV/AIDS clinical trials network established in 2000 to fully characterize the safety, immunogenicity, and efficacy of HIV vaccine candidates with the goal of developing a safe, effective vaccine as rapidly as possible for prevention of HIV infections globally.  The HVTN Statistical and Data Management Center (HVTN SDMC) is based at SCHARP at Fred Hutch and is led by Peter Gilbert, PhD. The HVTN SDMC provides statistical and bioinformatics leadership in protocol design and data analysis, supported by the provision of operations and implementation expertise, data collection, and data management for HVTN trials. In addition, SDMC faculty and staff lead and contribute to analyses related to the development and implementation of innovative statistical and bioinformatics approaches to improve the scientific understanding of immunology, vaccinology, HIV biology, and how the these components influence HIV vaccine candidates.

Peter Gilbert, PhD

Member, Vaccine and Infectious Disease Division
Member, Public Health Sciences Division
Principal Investigator, Statistical Data Management Center, HVTN
Research Professor, Biostatistics, University of Washington
Graduate Faculty, Biostatistics, University of Washington


The HIV Prevention Trials Network (HPTN) is a worldwide collaborative clinical trials network that brings together investigators, ethicists, community and other partners to develop and test the safety and efficacy of interventions designed to prevent the acquisition and transmission of HIV. HPTN studies evaluate new HIV prevention interventions and strategies in populations and geographical regions that bear a disproportionate burden of infection. The HPTN Statistical and Data Management Center (HPTN SDMC) is based at the SCHARP at Fred Hutch and is led by Deborah Donnell, PhD. The HPTN SDMC is responsible for providing statistical leadership and facilitating all aspects of the collection, management, and analysis of data for HPTN studies. In addition, HPTN SDMC faculty lead and contribute to analyses related to the development and implementation of innovative statistical and epidemiological approaches to improve the scientific understanding of population HIV risk and how strategies and implementation to modify HIV risk could affect the HIV epidemic. The HPTN SDMC includes a math modeling center involving researchers at Imperial College in London, England. A goal of the math modelling center is to use HPTN trial results to model how interventions could affect the HIV epidemic in specific settings.


Vaccine Immunology Statistical Center (VISC) provides statistical support for pre-clinical and clinical trials. The VISC grant is comprised of five objectives : 1) provide biostatistical support for the Collaboration for AIDS Vaccine Discovery (CAVD) community for the design of studies and analysis of resulting data; 2) development and implementation of data pipelines and analytic methods for new assay technologies; 3) provide operations support for data management, project management support, study management, and maintenance and support of the Atlas Science Portal; 4) provide biostatistical support to include other infectious diseases such as polio and tuberculosis; and 5) to facilitate sharing and use of CAVD data.  The VISC is based at SCHARP at Fred Hutch and is led by Raphael Gottardo, PhD. The VISC is responsible for providing statistical leadership and guidance on data collection, management, and analysis of data for requested studies. In addition, VISC faculty and staff lead and contribute to analyses related to the development and implementation of innovative statistical and bioinformatics approaches to improve the scientific understanding of immunology, vaccinology, disease-specific biology, and how these components influence vaccine candidates.