Opportunity Information: Apply for RFA ES 16 003
Apply for RFA ES 16 003
- The HHS-NIH11 in the education, environment, food and nutrition, health, income security and social services sector is offering a public funding opportunity titled "BD2K Mentored Career Development Award in Biomedical Big Data Science for Intramural Investigators (K22)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.113, 93.121, 93.172, 93.173, 93.213, 93.242, 93.273, 93.279, 93.313, 93.350, 93.351, 93.398, 93.846, 93.847, 93.855, 93.856, 93.865, 93.866, 93.867, 93.879,.
- This funding opportunity was created on May 04, 2016 and posted on May 04, 2016.
- Applicants must submit their applications by Aug 01, 2016. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Eligible applicants include: State governments, County governments, City or township governments, Special district governments, Independent school districts, Public and State controlled institutions of higher education, Native American tribal governments (Federally recognized), Public housing authorities/Indian housing authorities, Native American tribal organizations (other than Federally recognized tribal governments), Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education, Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education, Private institutions of higher education, For profit organizations other than small businesses, Small businesses, Others (see text field entitled Additional Information on Eligibility for clarification).
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Opportunity Summary:
The BD2K Mentored Career Development Award in Biomedical Big Data Science for Intramural Investigators (K22) is a National Institutes of Health (NIH) career transition grant opportunity designed to help scientists currently working in the NIH Intramural Research Program move into independent, faculty-level positions in academia. It sits within NIH's broader Big Data to Knowledge (BD2K) effort, which was created to strengthen the nation’s ability to generate, manage, analyze, and share large-scale biomedical data. In practical terms, this opportunity is aimed at researchers whose work is centered on "big data science" as it applies to basic biomedical research and clinical research, including the development of computational approaches, analytic methods, and data-driven tools that can be used by the wider research community.
A defining feature of this K22 is its two-phase structure, built specifically around the transition from intramural NIH research to an extramural academic appointment. The first phase lasts one year and is completed while the awardee remains in an intramural position at NIH under mentorship. This mentored year is meant to be a focused period of additional preparation: sharpening big data skills, strengthening an emerging independent research direction, building a track record that supports faculty recruitment, and positioning the investigator to compete successfully as an independent scientist. The second phase provides up to three additional years of support after the investigator secures an eligible position at an extramural institution, such as a university or academic medical center. That extramural phase is intended to function as a bridge into full independence, giving the investigator time and resources to establish their research program, publish, develop collaborations, and compete for subsequent independent funding.
The program’s goals emphasize both independence and team-based science. On one hand, the award is meant to support intramural scientists at any career stage in making the leap to running their own research program, which generally implies leading a coherent research agenda, supervising trainees, and building a recognizable niche. On the other hand, the FOA explicitly highlights the importance of working in team environments, reflecting how modern biomedical data science often requires close collaboration among domain scientists, clinicians, statisticians, computer scientists, and informaticians. The scientific emphasis is on creating or advancing big data technologies, methods, and tools that can be broadly applied across basic and clinical research settings. That can include innovations in data integration, machine learning and statistical inference, scalable computing workflows, data standards and harmonization, reproducibility tools, and other approaches that increase the value of complex biomedical datasets.
Administratively, this opportunity is listed as a discretionary grant under the U.S. Department of Health and Human Services, with NIH as the issuing agency (AgencyName: HHS-NIH11). The Funding Opportunity Number is RFA ES 16 003, and it was originally posted on May 4, 2016, with a closing date of August 1, 2016 (the current closing date matches the original closing date). The funding activity category is broad and cross-cutting, spanning areas that include education and health, reflecting the career development nature of the award as well as its relevance to biomedical research infrastructure and training.
The eligibility information shown in the source listing includes a wide array of applicant organization types (state and local governments, institutions of higher education, nonprofits, for-profits, small businesses, tribal entities, and others). However, the core purpose statement makes clear that this specific K22 is tailored to investigators in the NIH Intramural Program who are seeking to transition to extramural, faculty-level academic roles. In that sense, the "who it is for" is defined more by the individual’s intramural NIH status and their planned career transition than by the broad organizational categories that appear in the general eligibility list. The second phase, by design, occurs at an extramural institution where the awardee holds an appropriate academic appointment that supports an independent research trajectory.
The opportunity is associated with a large set of CFDA numbers (now commonly referred to under broader assistance listing systems), indicating that multiple NIH Institutes and Centers may be connected to or able to support aspects of the award’s scientific scope. The listing does not provide an award ceiling amount or an expected number of awards in the fields shown, which means those details would typically be found in the full FOA text or NIH guide notice rather than in the summary metadata provided here.
Overall, the BD2K K22 described in this announcement is essentially a structured launchpad for intramural NIH researchers who want to become independent faculty in biomedical big data science. It combines a short, mentored intramural period with a longer, externally hosted transition period, and it is explicitly geared toward developing people who can both lead independent programs and contribute effectively to collaborative, data-intensive biomedical research through new computational methods and tools.
FAQs: BD2K Mentored Career Development Award in Biomedical Big Data Science for Intramural Investigators (K22)
What is the BD2K K22 Mentored Career Development Award?
The BD2K Mentored Career Development Award in Biomedical Big Data Science for Intramural Investigators (K22) is an NIH career transition grant opportunity designed to help scientists in the NIH Intramural Research Program move into independent, faculty-level positions in academia. It is part of NIH's broader Big Data to Knowledge (BD2K) effort, which focuses on strengthening the ability to generate, manage, analyze, and share large-scale biomedical data.
What is the main purpose of this K22 opportunity?
The main purpose is to provide a structured pathway for NIH intramural investigators to transition to independence as extramural faculty by supporting an initial mentored period at NIH followed by additional support after the investigator secures an eligible academic appointment at an extramural institution.
Who is this funding opportunity intended for?
Based on the opportunity description, it is tailored to investigators currently working in the NIH Intramural Research Program who are seeking to transition into independent, faculty-level academic roles at extramural institutions such as universities or academic medical centers.
Is this opportunity for organizations or for individual investigators?
The listing shows broad applicant organization types in the eligibility section, but the core purpose statement indicates the opportunity is specifically built around the career transition of individual NIH intramural investigators into extramural academic positions.
What research area does the award focus on?
The award focuses on "big data science" in biomedical contexts, spanning both basic biomedical research and clinical research. It emphasizes developing computational approaches, analytic methods, and data-driven tools that can be used by the wider research community.
What kinds of projects or activities are emphasized under this K22?
The scientific emphasis is on creating or advancing big data technologies, methods, and tools that are broadly applicable across basic and clinical research. Examples mentioned include innovations in data integration, machine learning and statistical inference, scalable computing workflows, data standards and harmonization, and reproducibility tools.
How is the K22 structured?
This K22 has a two-phase structure designed around the transition from intramural NIH research to an extramural academic appointment: a one-year mentored intramural phase followed by up to three additional years of support in an extramural position.
How long is the intramural (mentored) phase?
The first phase lasts one year and is completed while the awardee remains in an intramural position at NIH under mentorship.
What is the purpose of the one-year mentored intramural phase?
The mentored year is described as a focused period of preparation for independence, including sharpening big data skills, strengthening an emerging independent research direction, building a track record that supports faculty recruitment, and positioning the investigator to compete successfully as an independent scientist.
How long is the extramural (independent) phase?
The second phase provides up to three additional years of support after the investigator secures an eligible position at an extramural institution.
What needs to happen for the extramural phase to begin?
The extramural phase is designed to start after the investigator secures an eligible position at an extramural institution, such as a university or academic medical center, where they hold an appropriate academic appointment that supports an independent research trajectory.
What is the purpose of the extramural phase?
The extramural phase is intended to function as a bridge into full independence by giving the investigator time and resources to establish their research program, publish, develop collaborations, and compete for subsequent independent funding.
Does the program emphasize independent research, team science, or both?
Both. The goals emphasize developing independence (leading a coherent research agenda, supervising trainees, and building a recognizable niche) while also highlighting the importance of working in team environments, reflecting the collaborative nature of modern biomedical data science.
What does "team-based science" mean in the context of this award?
In this context, team-based science refers to close collaboration among domain scientists, clinicians, statisticians, computer scientists, and informaticians, which is often necessary for data-intensive biomedical research.
What kinds of outputs are implied by the program description?
The description indicates outputs consistent with establishing independence, such as building broadly usable computational methods and tools, publishing, developing collaborations, and preparing to compete for later independent funding.
Which federal agency issues this funding opportunity?
The issuing agency is the National Institutes of Health (NIH) under the U.S. Department of Health and Human Services. The listing references AgencyName: HHS-NIH11.
What is the Funding Opportunity Number?
The Funding Opportunity Number is RFA ES 16 003.
When was this opportunity posted and when did it close?
It was originally posted on May 4, 2016. The closing date is August 1, 2016, and the information provided indicates the current closing date matches the original closing date.
What type of funding mechanism is this listed as?
It is listed as a discretionary grant under the U.S. Department of Health and Human Services.
What is the broader NIH initiative associated with this award?
This opportunity sits within NIH's Big Data to Knowledge (BD2K) effort, which was created to strengthen biomedical data capabilities, including generating, managing, analyzing, and sharing large-scale datasets.
Does the listing provide an award ceiling amount?
No. The information provided states that an award ceiling amount is not shown in the summary metadata and would typically be found in the full FOA text or NIH guide notice rather than in the listing summary.
Does the listing provide the expected number of awards?
No. The fields shown do not include the expected number of awards, and the description notes that such details are typically found in the full FOA text rather than the summary metadata.
What is the relevance of the many CFDA numbers mentioned?
The opportunity is associated with a large set of CFDA numbers (now commonly referenced through broader assistance listing systems), which suggests that multiple NIH Institutes and Centers may be connected to or able to support aspects of the award's scientific scope.
What funding activity category is associated with this opportunity?
The funding activity category is described as broad and cross-cutting, spanning areas that include education and health, reflecting both the career development nature of the award and its relevance to biomedical research infrastructure and training.
Where does the second phase take place?
The second phase takes place at an extramural institution where the awardee holds an appropriate academic appointment, such as at a university or academic medical center.
Does this program support researchers at a specific career stage?
The description states it is meant to support intramural scientists at any career stage in making the leap to running their own research program, with an emphasis on achieving independence.
What is the overall takeaway of this K22 announcement?
It is a structured launchpad for NIH intramural researchers in biomedical big data science who want to become independent faculty, combining a short mentored intramural period with a longer extramural transition period and emphasizing both independent leadership and collaborative, data-intensive research.
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| Funding Opportunity |
|---|
| BD2K Mentored Career Development Award in Biomedical Big Data Science for Clinicians and Doctorally Prepared Scientists (K01) Apply for RFA ES 16 002 Funding Number: RFA ES 16 002 Agency: HHS-NIH11 Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: Case Dependent |
| BD2K Predoctoral Training in Biomedical Big Data Science (T32) Apply for RFA LM 16 002 Funding Number: RFA LM 16 002 Agency: HHS-NIH11 Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: Case Dependent |
| BD2K Open Educational Resources for Skills Development in Biomedical Big Data Science (R25) Apply for RFA HG 16 016 Funding Number: RFA HG 16 016 Agency: HHS-NIH11 Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: $200,000 |
| Change of Grantee Organization (Type 7 Parent) Apply for PA 16 285 Funding Number: PA 16 285 Agency: HHS-NIH11 Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: Case Dependent |
| Successor-in-Interest (Type 6 Parent) Apply for PA 16 286 Funding Number: PA 16 286 Agency: HHS-NIH11 Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: Case Dependent |
| Research Supplements to Promote Diversity in Health-Related Research (Admin Supp) Apply for PA 16 288 Funding Number: PA 16 288 Agency: HHS-NIH11 Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: Case Dependent |
| Research Supplements to Promote Re-Entry into Biomedical and Behavioral Research Careers (Admin Supp) Apply for PA 16 289 Funding Number: PA 16 289 Agency: HHS-NIH11 Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: Case Dependent |
| NIH Support for Conferences and Scientific Meetings (Parent R13) Apply for PA 16 294 Funding Number: PA 16 294 Agency: HHS-NIH11 Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: Case Dependent |
| PHS 2016-02 Omnibus Solicitation of the NIH for Small Business Technology Transfer Grant Applications (Parent STTR [R41/R42]) Apply for PA 16 303 Funding Number: PA 16 303 Agency: HHS-NIH11 Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: Case Dependent |
| Ruth L. Kirschstein National Research Service Award (NRSA) Fellowship for Students at Institutions With NIH-Funded Institutional Predoctoral Dual-Degree Training Programs (Parent F30) Apply for PA 16 305 Funding Number: PA 16 305 Agency: HHS-NIH11 Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: Case Dependent |
| PHS 2016-02 Omnibus Solicitation of the NIH, CDC, FDA and ACF for Small Business Innovation Research Grant Applications (Parent SBIR [R43/R44]) Apply for PA 16 302 Funding Number: PA 16 302 Agency: HHS-NIH11 Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: Case Dependent |
| Ruth L. Kirschstein National Research Service Award (NRSA) Fellowship for Students at Institutions Without NIH-Funded Institutional Predoctoral Dual-Degree Training Programs (Parent F30) Apply for PA 16 306 Funding Number: PA 16 306 Agency: HHS-NIH11 Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: Case Dependent |
| Big Data to Knowledge (BD2K) Community-based Data and Metadata Standards Efforts (R24) Apply for RFA ES 16 010 Funding Number: RFA ES 16 010 Agency: Department of Health and Human Services, National Institutes of Health Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: $250,000 |
| NIH Research Evaluation and Commercialization Hubs (REACH) Awards (U01 Clinical Trial Not Allowed) Apply for RFA OD 19 014 Funding Number: RFA OD 19 014 Agency: Department of Health and Human Services, National Institutes of Health Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: $1,000,000 |
| Lasker Clinical Research Scholars Program (Si2/R00 Clinical Trial Optional) Apply for PAR 19 262 Funding Number: PAR 19 262 Agency: Department of Health and Human Services, National Institutes of Health Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: Case Dependent |
| Lasker Clinical Research Scholars Program (Si2/R00 Clinical Trial Optional) Apply for PAR 20 167 Funding Number: PAR 20 167 Agency: Department of Health and Human Services, National Institutes of Health Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: Case Dependent |
| Emergency Awards: RADx-rad Data Coordination Center (DCC) (U24 Clinical Trial Not Allowed) Apply for RFA OD 20 019 Funding Number: RFA OD 20 019 Agency: Department of Health and Human Services, National Institutes of Health Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: $4,000,000 |
| Administrative Supplements to Existing NIH Grants and Cooperative Agreements (Parent Admin Supp) Apply for PA 16 287 Funding Number: PA 16 287 Agency: National Institutes of Health Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: Case Dependent |
| BD2K Research Education Curriculum Development: Data Science Overview for Biomedical Scientists (R25) Apply for RFA ES 16 011 Funding Number: RFA ES 16 011 Agency: National Institutes of Health Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: $100,000 |
| Big Data to Knowledge (BD2K) Enhancing the Efficiency and Effectiveness of Digital Curation for Biomedical Big Data (U01) Apply for RFA LM 17 001 Funding Number: RFA LM 17 001 Agency: National Institutes of Health Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: $350,000 |
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