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The Sister Study for Breast Cancer
Contact and place of performance
Jennifer Smith
Not specified
This ID/IQ contract provides support services through Task Orders to continue an epidemiological study of environmental and genetic risk factors for breast cancer through management and maintenance of a cohort of more than 50,000 women. The Contractor will provide support to NIEHS by administering, managing, and providing operational support in the conduct of the epidemiological research, and shall carry out directed...
View moreThe National Institutes of Health (NIH) has issued an award notice for solicitation NIHES201800001, titled The Sister Study for Breast Cancer. This Indefinite Delivery/Indefinite Quantity (ID/IQ) contract supports the National Institute of Environmental Health Sciences (NIEHS) by providing operational and administrative services for an ongoing epidemiological study involving more than 50,000 women. The contractor is responsible for managing and maintaining this cohort to investigate environmental and genetic risk factors associated with breast cancer.
The scope of work includes maintaining high participant retention and response rates, conducting annual updates on health and vital status, and performing triennial collections of detailed follow-up data. Key technical activities involve the collection, handling, and analysis of environmental and human biological samples, as well as the acquisition and verification of medical records. The contractor will also manage data integrity and security, link geographic data systems to environmental hypotheses, and provide statistical analysis support for collaborative studies.
This requirement is classified under NAICS 541715 for Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology) and PSC code A. Jennifer Smith is the designated point of contact for this award, which was published on August 22, 2018. The contract framework facilitates the execution of specific task orders to carry out directed analyses of biological and environmental data over the performance period.
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