Opportunity Information: Apply for PAR 07 160
Apply for PAR 07 160
- The National Institutes of Health in the education environment health sector is offering a public funding opportunity titled "Innovations in Biomedical Computational Science and Technology Initiative (SBIR R43/R44)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.172 Human Genome Research 93.173 Research Related to Deafness and Communication Disorders 93.273 Alcohol Research Programs 93.279 Drug Abuse and Addiction Research Programs 93.286 Discovery and Applied Research for Technological Innovations to Improve Human Health 93.389 National Center for Research Resources 93.396 Cancer Biology Research 93.839 Blood Diseases and Resources Research 93.853 Extramural Research Programs in the Neurosciences and Neurological Disorders 93.855 Allergy, Immunology and Transplantation Research 93.859 Biomedical Research and Research Training 93.866 Aging Research 93.867 Vision Research 93.879 Medical Library Assistance.
- This funding opportunity was created on May 27, 2009 and posted on Dec 12, 2006.
- Applicants must submit their applications by Sep 7, 2009 Multiple Receipt Dates See Link to Full Announcement for details.. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Eligible applicants include: Others (see text field entitled Additional Information on Eligibility for clarification) Small businesses.
- Foreign institutions are not eligible to apply. Only United States small business concerns (SBCs) are eligible to submit SBIR applications. A small business concern is one that, at the time of award for both Phase I and Phase II awards, meets all of the following criteria 1. Is independently owned and operated, is not dominant in the field of operation in which it is proposing, has a place of business in the United States and operates primarily within the United States or makes a significant contribution to the US economy, and is organized for profit. 2. Is (a) at least 51 owned and controlled by one or more individuals who are citizens of, or permanent resident aliens in, the United States, or (b) for SBIR only, it must be a for profit business concern that is at least 51 owned and controlled by another for profit business concern that is at least 51 owned and controlled by one or more individuals who are citizens of, or permanent resident aliens in, the United States. 3. Has, including its affiliates, an average number of employees for the preceding 12 months not exceeding 500, and meets the other regulatory requirements found in Title 13 Code of Federal Regulations (CFR) Part 121. Business concerns are generally considered to be affiliates of one another when either directly or indirectly, (a) one concern controls or has the power to control the other or (b) a third party/parties controls or has the power to control both.
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Opportunity Summary:
The Innovations in Biomedical Computational Science and Technology Initiative (SBIR R43/R44) is an NIH funding opportunity (PAR-07-160) that supports small businesses developing new computational approaches that can accelerate biomedical research. The core idea is that modern biomedical science increasingly depends on computing power to handle large, complex datasets and to build models that help explain and predict biological behavior. Through this FOA, NIH is looking for genuinely innovative tools, platforms, and computational methods that make it easier for researchers to manage data, analyze it at scale, integrate it across sources, and use it to model biological systems in ways that meaningfully speed up discovery.
The scientific scope is intentionally broad within biomedical computing and biomedical information science and technology. Projects can focus on things like database design and architecture, user-friendly graphical interfaces, improved ways to query and retrieve biomedical data, and better techniques for visualization, manipulation, and integration of diverse datasets. The FOA also welcomes integrated analytical tools that combine multiple capabilities into cohesive workflows, as well as technologies that support electronic collaboration among scientists (for example, shared environments for distributed teams). In addition to informatics and data-centric tools, the opportunity explicitly includes computational research aimed at modeling and simulation, including structural, functional, integrative, and analytical models of biological processes. In practical terms, this could cover everything from new algorithms and software systems for multi-omics integration to simulation frameworks that help researchers test hypotheses about pathways, networks, or disease mechanisms.
Funding is provided through the SBIR grant mechanisms R43/R44, meaning applicants may propose Phase I, Phase II, or Fast Track applications. Phase I typically emphasizes early feasibility and proof-of-concept, while Phase II supports further development, validation, and steps toward a deployable product or service. The Fast Track option is designed to streamline the path from Phase I to Phase II for projects that can justify a continuous development plan. This FOA runs in parallel with an STTR version (PAR-07-161) with the same scientific scope, and NIH also noted parallel opportunities using the more traditional academic-style mechanisms (R01 under PAR-06-410 and R21 under PAR-06-411). Awards are not guaranteed; they depend on available funds and on receiving enough high-quality, meritorious applications.
Eligibility is limited to US small business concerns (SBCs) applying as SBIR applicants; foreign institutions are not eligible. To qualify as an SBC, the organization must be for-profit, independently owned and operated, not dominant in its field, and have a place of business in the United States while operating primarily in the US or making a significant contribution to the US economy. Ownership requirements generally include being at least 51% owned and controlled by US citizens or permanent resident aliens, with an SBIR-allowed alternative where the company can be majority-owned by another qualifying for-profit business that is itself majority-owned and controlled by US citizens or permanent residents. The company must also meet SBA size standards, including having no more than an average of 500 employees over the preceding 12 months when affiliates are included, consistent with 13 CFR Part 121 and rules governing affiliation and control.
The FOA is also specific about who can serve as Project Director/Principal Investigator (PD/PI) on an SBIR application. The PD/PI must have primary employment with the small business, defined as more than 50% of their time, at the time of award and for the duration of the project. NIH encourages applications from individuals from underrepresented racial and ethnic groups and from individuals with disabilities. A single small business may submit multiple applications as long as each submission is scientifically distinct.
Administratively, this is a discretionary grant opportunity offered by NIH and spans a wide range of NIH program areas, reflected in the many CFDA numbers listed (covering topics from genomics and cancer biology to neuroscience, aging, and vision research). There is no cost-sharing or matching requirement. The announcement was originally posted December 12, 2006, and uses multiple receipt dates (rather than a single deadline), with the archived period shown as closing in 2009. The full announcement and detailed instructions were provided through the NIH Grants Guide link associated with PAR-07-160.
Frequently Asked Questions (FAQs)
What is the Innovations in Biomedical Computational Science and Technology Initiative (SBIR R43/R44)?
It is an NIH SBIR funding opportunity announcement (FOA) identified as PAR-07-160. It supports US small businesses developing new computational approaches that can accelerate biomedical research, especially tools and methods that help researchers work with large, complex biomedical datasets and build models that explain or predict biological behavior.
What is the main goal of this FOA?
The goal is to support genuinely innovative computational tools, platforms, and methods that make it easier to manage biomedical data, analyze it at scale, integrate it across sources, and model biological systems in ways that meaningfully speed up biomedical discovery.
What types of projects does NIH want to fund under PAR-07-160?
The FOA is broad within biomedical computing and biomedical information science and technology. Example areas mentioned include database design and architecture, user-friendly graphical interfaces, improved querying and retrieval of biomedical data, visualization and manipulation of data, and integration of diverse datasets. It also includes integrated analytical tools and workflow-style platforms, as well as technologies that support electronic collaboration among scientists.
Does the scope include modeling and simulation work?
Yes. The FOA explicitly includes computational research aimed at modeling and simulation, including structural, functional, integrative, and analytical models of biological processes. This can include simulation frameworks or computational systems that help test hypotheses about pathways, networks, or disease mechanisms.
Is the scientific scope limited to a specific disease area or NIH institute?
No. The opportunity is described as intentionally broad and spans many NIH program areas. This is reflected in the many CFDA numbers listed in the announcement, covering a wide range of biomedical topics.
What funding mechanisms are used for this opportunity?
Funding is provided through NIH SBIR grant mechanisms R43/R44. Applicants may propose Phase I, Phase II, or a Fast Track application.
What is the difference between Phase I and Phase II in this FOA?
Based on the FOA description, Phase I typically emphasizes early feasibility and proof-of-concept. Phase II supports further development, validation, and steps toward a deployable product or service.
What is the Fast Track option?
Fast Track is an option intended to streamline the path from Phase I to Phase II for projects that can justify a continuous development plan from early feasibility through later-stage development.
Is there a related STTR opportunity for the same topic?
Yes. NIH noted an STTR version running in parallel with the same scientific scope, identified as PAR-07-161.
Are there parallel NIH opportunities using non-SBIR mechanisms?
Yes. NIH also noted parallel opportunities using more traditional academic-style mechanisms: an R01 under PAR-06-410 and an R21 under PAR-06-411.
Who is eligible to apply?
Eligibility is limited to US small business concerns (SBCs) applying as SBIR applicants. Foreign institutions are not eligible.
What does a company need to qualify as a US small business concern (SBC) for this FOA?
To qualify as an SBC, the organization must be for-profit, independently owned and operated, not dominant in its field, and have a place of business in the United States while operating primarily in the US or making a significant contribution to the US economy.
What are the ownership requirements for an SBC under this FOA?
Ownership requirements generally include being at least 51% owned and controlled by US citizens or permanent resident aliens. The FOA also describes an SBIR-allowed alternative where the company can be majority-owned by another qualifying for-profit business that is itself majority-owned and controlled by US citizens or permanent residents.
What are the size standards for eligibility?
The company must meet SBA size standards, including having no more than an average of 500 employees over the preceding 12 months when affiliates are included. The FOA references 13 CFR Part 121 and rules governing affiliation and control.
Can a foreign institution participate in any way?
The FOA states that foreign institutions are not eligible. No additional participation details are provided in the information given.
Who can serve as the Project Director/Principal Investigator (PD/PI) on an SBIR application?
The PD/PI must have primary employment with the small business. Primary employment is defined as more than 50% of their time with the small business at the time of award and for the duration of the project.
Does NIH encourage applications from underrepresented groups?
Yes. NIH encourages applications from individuals from underrepresented racial and ethnic groups and from individuals with disabilities.
Can one small business submit more than one application?
Yes. A single small business may submit multiple applications as long as each submission is scientifically distinct.
Are awards guaranteed if a proposal is submitted?
No. The FOA notes that awards are not guaranteed and depend on available funds and on receiving enough high-quality, meritorious applications.
Is cost sharing or matching required?
No. The FOA states there is no cost-sharing or matching requirement.
Is this a discretionary grant opportunity?
Yes. The FOA is described as a discretionary grant opportunity offered by NIH.
When was this FOA posted and what is known about deadlines?
The announcement was originally posted on December 12, 2006. It uses multiple receipt dates rather than a single deadline, and the archived period is shown as closing in 2009.
Where are the official instructions and full announcement located?
The full announcement and detailed instructions were provided through the NIH Grants Guide link associated with PAR-07-160.
What kinds of capabilities might a proposed tool or platform include?
Examples mentioned in the FOA include tools for managing data, querying and retrieving biomedical information, visualization and manipulation of data, integrating diverse datasets, building integrated analytical workflows, supporting electronic collaboration for distributed research teams, and enabling modeling and simulation of biological processes.
Does this FOA focus only on informatics and data management?
No. In addition to informatics and data-centric tools, the FOA explicitly includes computational research for modeling and simulation, including multiple model types (structural, functional, integrative, analytical).
What is PAR-07-160?
PAR-07-160 is the NIH FOA number for the Innovations in Biomedical Computational Science and Technology Initiative using SBIR mechanisms R43/R44.
What other FOA numbers are referenced as related announcements?
The information provided references PAR-07-161 (STTR counterpart with the same scope), PAR-06-410 (R01), and PAR-06-411 (R21) as parallel opportunities.
Browse more opportunities from the same agency: National Institutes of Health
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Previous opportunity: Collaborative R01s for Clinical and Services Studies of Mental Disorders, AIDS and Alcohol Use Disorders (R01)
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Applicants also applied for:
Applicants who have applied for this opportunity (PAR 07 160) also looked into and applied for these:
| Funding Opportunity |
|---|
| Innovations in Biomedical Computational Science and Technology Initiative (STTR R41/R42) Apply for PAR 07 161 Funding Number: PAR 07 161 Agency: National Institutes of Health Category: Education Environment Health Funding Amount: Case Dependent |
| Global Research Initiative Program, Basic/Biomedical Sciences (R01) Apply for PAR 07 239 Funding Number: PAR 07 239 Agency: National Institutes of Health Category: Education Environment Health Funding Amount: Case Dependent |
| Innovations in Biomedical Computational Science and Technology (R01) Apply for PAR 09 218 Funding Number: PAR 09 218 Agency: National Institutes of Health Category: Education Environment Health Funding Amount: Case Dependent |
| Exploratory Innovations in Biomedical Computational Science and Technology (R21) Apply for PAR 09 219 Funding Number: PAR 09 219 Agency: National Institutes of Health Category: Education Environment Health Funding Amount: $200,000 |
| Superfund Hazardous Substance Research and Training Program (P42) Apply for RFA ES 09 012 Funding Number: RFA ES 09 012 Agency: National Institutes of Health Category: Education Environment Health Funding Amount: Case Dependent |
| Environmental Influences during Windows of Susceptibility in Breast Cancer Risk (U01) Apply for RFA ES 09 009 Funding Number: RFA ES 09 009 Agency: National Institutes of Health Category: Education Environment Health Funding Amount: $300,000 |
| Coordinating Center for the Breast Cancer and the Environment Research Program (U01) Apply for RFA ES 09 010 Funding Number: RFA ES 09 010 Agency: National Institutes of Health Category: Education Environment Health Funding Amount: $600,000 |
| Limited Competition Continuation of Studies on Early Environmental Exposures and Human Puberty (U01) Apply for RFA ES 09 008 Funding Number: RFA ES 09 008 Agency: National Institutes of Health Category: Education Environment Health Funding Amount: $650,000 |
| Enabling Technologies in DNA Repair Research (R21) Apply for PAR 10 016 Funding Number: PAR 10 016 Agency: National Institutes of Health Category: Education Environment Health Funding Amount: $200,000 |
| Limited Competition for the Global Research Initiative Program, Basic/Biomedical Sciences (R01) Apply for PAR 10 278 Funding Number: PAR 10 278 Agency: National Institutes of Health Category: Education Environment Health Funding Amount: Case Dependent |
| Deepwater Horizon Disaster Research Consortia Health Impacts and Community Resiliency (U19) Apply for RFA ES 11 006 Funding Number: RFA ES 11 006 Agency: National Institutes of Health Category: Education Environment Health Funding Amount: $1,200,000 |
| Superfund Hazardous Substance Research and Training Program (P42) Apply for RFA ES 10 010 Funding Number: RFA ES 10 010 Agency: National Institutes of Health Category: Education Environment Health Funding Amount: Case Dependent |
| Innovative Bioavailability Assays to Assess the Effectiveness of Contaminated Sediment Remediation (R01) Apply for RFA ES 11 005 Funding Number: RFA ES 11 005 Agency: National Institutes of Health Category: Education Environment Health Funding Amount: $200,000 |
| Limited Competition Fogarty International Research Collaboration Basic Biomedical (FIRCA BB) Research Award (R03) Apply for PAR 11 037 Funding Number: PAR 11 037 Agency: National Institutes of Health Category: Education Environment Health Funding Amount: Case Dependent |
| Ruth L. Kirschstein National Research Service Awards (NRSA) for Individual Senior Fellows (Parent F33) Apply for PA 11 114 Funding Number: PA 11 114 Agency: National Institutes of Health Category: Education Environment Health Funding Amount: Case Dependent |
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