Advancing Genomic Data Science Innovation Through Strategic Coordination
Past New Requirement Updated
- Agency
-
National Institutes of Health
Department of Health and Human Services
- Solicitation expected
- Estimated value
- $3,000,000 to $7,000,000
- Set-aside
- No set-aside
Forecast facts
- Anticipated award
- NAICS code
- 541690 Other Scientific and Technical Consulting Services
- Points of contact
-
- Christopher Wellington wellingtonc@mail.nih.gov
- Roxane S Burkett roxane.burkett@nih.gov
Forecast details come from HHS's procurement forecast. Agencies' dates and values are estimates.
About this forecast
The National Institutes of Health plans to procure strategic coordination, collaboration, and outreach services supporting the National Human Genome Research Institute's (NHGRI) Computational Genomics and Data Science (CGDS) Program, with an estimated solicitation release of July 1, 2026 and an estimated award of August 1, 2026. The scope covers four areas: project management, including project management plans, annual work plans, and routine status reporting; strategic coordination of grantee engagement through webinars, newsletters, and working groups, plus scientific horizon scanning and STRIDES cloud computing tracking; planning and execution of an annual CGDS workshop; and outreach that includes maintaining the program website, managing social media, coordinating a webinar series, and disseminating reports and publications through open-access channels.
The estimated award value range is $3.0 million to $7.0 million, with no set-aside used and NAICS code 541690, Other Scientific and Technical Consulting Services. Points of contact are Christopher Wellington (wellingtonc@mail.nih.gov) and Roxane Burkett, Contracting Officer (roxane.burkett@nih.gov, 301-496-4000).
Forecast text
This contract supports NHGRI's Computational Genomics and Data Science (CGDS) Program by advancing innovation through strategic coordination, collaboration, and outreach. Building on NHGRI's long-standing leadership in computational genomics since the Human Genome Project, the effort addresses the rapid growth of genomic data and the increasing need for advanced computational, statistical, and AI-driven approaches to manage, analyze, and extract value from these data. The contract aligns with the NHGRI Strategic Vision and NIH Strategic Plan for Data Science, and supports a broad portfolio of extramural research, including data resources, analytical methods, clinical genomics, and workforce development.
The primary goal is to maximize the impact of CGDS-funded investigators by fostering collaboration, accelerating technology development and dissemination, and strengthening communication within the research community and with the public.
The scope of work includes four key areas.
First, project management ensures effective execution of all activities through structured planning, regular reporting, and ongoing coordination with NHGRI staff. This includes development of project management plans, annual work plans, and routine status updates to track progress and address risks.
Second, strategic coordination and collaboration activities strengthen engagement across the CGDS community and NIH. The contractor facilitates communication with grantees through webinars, newsletters, and working groups, while providing scientific expertise and horizon scanning to inform program strategy. Support also includes coordination with NIH-wide initiatives and management of administrative activities such as cloud computing tracking through STRIDES.
Third, innovation gatherings and knowledge exchange are supported through planning and execution of an annual CGDS workshop. This includes logistics, agenda development, speaker coordination, and dissemination of workshop materials, as well as collection of participant feedback to inform future events.
Fourth, outreach, dissemination, and public engagement activities ensure broad visibility of CGDS program efforts. The contractor maintains the program website, manages social media communications, coordinates webinar series, and disseminates reports and publications through open-access channels, ensuring accessibility and alignment with federal transparency requirements.
Collectively, these activities enhance coordination, promote knowledge sharing, and accelerate scientific progress in computational genomics and data science.
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