Innovations in Biomedical Computational Science and Technology (R01) | Apply Online

Frequently Asked Questions (FAQs)

What is the Innovations in Biomedical Computational Science and Technology (R01) opportunity?

It is an NIH funding opportunity announcement (FOA) identified as PAR-09-218 that supports research and development in biomedical informatics, computational biology, and related computational science and technology. The emphasis is on computational advances that directly accelerate biomedical research by improving how complex biomedical data are managed, analyzed, integrated, and interpreted.

What is the central goal of PAR-09-218?

The central goal is to fund computational methods, software, and modeling approaches that help scientists work more effectively with complex biomedical information, enabling faster discovery and better understanding of health and disease.

What kinds of projects does this FOA encourage?

The FOA is broad in scope and welcomes projects that create or substantially improve foundational capabilities in biomedical computing. It highlights work across informatics (data systems and tools) and computational biology/quantitative modeling (models and simulations of biological systems).

What types of biomedical informatics work are specifically mentioned?

Examples explicitly highlighted include database design and architecture; user-facing graphical interfaces; improved querying strategies and information retrieval; data visualization, manipulation, and interactive exploration; and data integration through integrated analytical tools that can combine multiple sources or types of biomedical information.

Does the FOA support tools for collaboration between research teams?

Yes. The FOA explicitly supports tools that enable electronic collaboration, reflecting the need for shared platforms and workflows that help distributed research teams coordinate and work together efficiently.

What types of computational biology or quantitative research are included?

The FOA includes computational and mathematical research, particularly the development of structural, functional, integrative, and analytical computational models, along with simulations that represent biological systems and produce testable insights.

What funding mechanism does PAR-09-218 use?

Funding is offered through the NIH R01 mechanism, which typically supports substantial, multi-year research projects with clearly defined aims and a strong scientific premise.

Are there related NIH opportunities associated with this FOA?

Yes. The announcement is part of a coordinated set of related opportunities with a similar scientific theme, including an R21 option for high-risk/high-impact exploratory work (PAR-09-219) and small business-focused tracks via SBIR (PAR-09-220) and STTR (PAR-09-221).

How should applicants interpret the relationship among the R01, R21, SBIR, and STTR options?

The practical takeaway is that NIH is encouraging innovation at different stages of maturity and through different pathways (academic and commercial), while keeping the scientific focus on computational advances that materially improve biomedical research capabilities.

Is the number of awards under PAR-09-218 guaranteed?

No. Awards are contingent on the availability of NIH funds and on receiving enough high-quality, highly meritorious applications. The number of awards is not guaranteed or fixed.

What kind of grant is this categorized as?

It is categorized as a discretionary grant.

Does the FOA focus on a specific disease area?

The associated program areas span many domains (including environmental health, mental health, substance use, cancer research across multiple subdomains, cardiovascular and pulmonary research, neurological disorders, general biomedical research and training, and medical library assistance). This breadth signals that projects do not need to be tied to a single disease area, as long as they clearly advance biomedical research through improved computation, informatics, or modeling.

Who is eligible to apply?

Eligibility is expansive. Eligible applicants include public and private institutions of higher education; nonprofit organizations (including those with and without 501(c)(3) status, with distinctions noted); state, local, county, city, township, and special district governments; independent school districts; tribal governments and tribal organizations; public housing authorities/Indian housing authorities; small businesses and other for-profit organizations (with limits depending on category); and additional eligible groups such as HBCUs, Hispanic-serving institutions, TCCUs, Alaska Native and Native Hawaiian-serving institutions, faith-based and community-based organizations, regional organizations, U.S. territories or possessions, federal agencies, and non-U.S. (foreign) entities.

Are small businesses allowed to apply?

Yes. The eligibility list includes small businesses and other for-profit organizations (with limits depending on category). In addition, the coordinated set of related announcements includes SBIR (PAR-09-220) and STTR (PAR-09-221), which are specifically small business-focused tracks.

Are non-U.S. (foreign) entities eligible?

Yes. The eligibility description indicates that non-U.S. (foreign) entities are included among eligible applicants.

Is cost sharing or matching required?

No. The announcement indicates there is no cost sharing or matching requirement, meaning applicants generally are not required to provide non-federal matching funds as a condition of the award.

When was this opportunity posted, and is it still open?

The listing indicates it was posted on August 5, 2009, and it ultimately closed in 2013 with an archive date in October 2013. This specific announcement is no longer open.

Where can I find the archived FOA?

The full archived announcement is available through NIH at http://grants.nih.gov/grants/guide/pa-files/PAR-09-218.html.

Who should be contacted for technical access issues related to the announcement listing?

The listing routes technical access issues to the NIH Office of Extramural Research (OER) webmaster.

If the FOA is archived, why might it still be useful?

Even though it is no longer open, it remains a useful snapshot of NIH priorities in biomedical computing and a template for how NIH frames programs aimed at computational innovation that supports biomedical research progress.