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PAR-26-040: Advancing Bioinformatics, Translational Bioinformatics and Computational Biology Research (R01 Clinical Trial Optional)
Deadline: June 5th, 2026
Funding Award Size: $250k
Description: NIH PAR-26-040 (R01 Clinical Trial Optional) provides up to $250,000 per year for innovative bioinformatics, translational bioinformatics, and computational biology research. First due date: June 5, 2026.
Below is a brief summary. Please check the full solicitation before applying (link in resources section).
Executive Summary:
PAR-26-040 invites research teams to lead transformational advances in bioinformatics, translational bioinformatics, and computational biology. This opportunity from the National Library of Medicine (NLM) supports projects that create cutting-edge methods, tools, and computational approaches for extracting actionable knowledge from complex biological and biomedical data. Applications open April 6, 2026 and follow NIH standard due dates (first due June 5, 2026). This initiative supports scalable, generalizable innovations that accelerate biomedical discovery and improve health outcomes.
How much funding would I receive?
Direct cost limit: Up to $250,000 per year (applicants must justify budget based on project needs).
Anticipated total program funding: Approximately $2,500,000.
Estimated number of awards: 10.
What could I use the funding for?
Fund research projects that:
Develop new computational methods and tools for bioinformatics and biomedical data science.
Leverage AI, machine learning, and large-scale computation to interpret diverse biological datasets.
Produce durable, generalizable artifacts (software, workflows, resources) that benefit the wider research community.
Enable translational insights with potential impact on health outcomes.
Excluded: incremental tweaks to existing tools, projects outside core bioinformatics/computational biology focus, social/ethical studies unrelated to computational method advancement.
Are there any additional benefits I would receive?
Projects are expected to produce open science outputs (e.g., FAIR tools, publicly available code, datasets).
Participation in NIH peer review and community of biomedical informatics researchers.
What is the timeline to apply and when would I receive funding?
Standard NIH due dates: June 5, October 5, February 5 recurring through 2029 (all due by 5:00 PM local time of the applicant).
NOFO expiration date: March 6, 2029.
Earliest possible project start: July 2026.
Where does this funding come from?
This opportunity is funded by the U.S. Department of Health and Human Services (HHS) through the National Institutes of Health (NIH), specifically the National Library of Medicine (NLM).
Who is eligible to apply?
Eligible applicants include:
Higher education institutions (public and private).
Nonprofits (with or without 501(c)(3) status).
For-profit organizations, including small businesses.
Local and state governments.
Tribal governments and organizations.
Foreign organizations (subject to NIH policies).
Important NIH policy: NIH will not issue awards for applications that include foreign subawards or subcontracts unless submitted to a NOFO specifically for international collaborations.
What companies and projects are likely to win?
Competitive applications will:
Demonstrate high innovation and impact in computational biology/bioinformatics.
Deliver tools and methods that are publicly accessible and broadly usable.
Show rigorous validation and clear plans for dissemination.
Integrate interdisciplinary approaches and emphasize scalability.
Are there any restrictions I should know about?
Foreign subawards/subcontracts are not allowed (projects with those elements will be noncompliant).
Cost sharing/matching is not required.
The project must align with NLM’s focus areas; non-responsive or tangential projects will not be reviewed.
How long will it take me to prepare an application?
Preparation time varies by complexity, but obtaining organizational registrations (SAM, eRA Commons) alone can take several weeks. Technical application drafting with rigorous computational research plans, data management strategy, and dissemination plans typically requires multiple months of coordinated effort.
How can BW&CO help?
BW&CO can:
Translate scientific aims into NIH-aligned application narratives.
Help articulate innovation, significance, and approach clearly.
Build budget justification and milestone plans that meet NIH expectations.
Develop data management, dissemination, and impact strategies that strengthen score.
How much would BW&CO Charge?
We have both fractional engagements ($250 an hour) and full engagements for submitting application ($13,000) available.
Additional Resources
PAR-26-042: Research Grants in Clinical Informatics (R01 Clinical Trial Optional)
Deadline: June 5th, 2026
Funding Award Size: $250k
Description: NIH NLM PAR-26-042 R01 funds clinical informatics research up to $250,000 in direct costs per year. Next deadline is June 5th, 2026
Below is a brief summary. Please check the full solicitation before applying (link in resources section).
Executive Summary:
This funding opportunity from the National Library of Medicine (NLM) at NIH supports investigator-initiated research grants in clinical informatics that develop innovative, generalizable methods and tools to transform complex health data into actionable knowledge and improve decision-making and health outcomes. Applications must be submitted by 5:00 PM local time on one of the standard NIH due dates (next dates include June 5, 2026; October 5, 2026; February 5, 2027, etc.) and the NOFO remains active until its expiration on March 6, 2029.
How much funding would I receive?
Direct cost limit: Up to $250,000 per year (applicants must justify budget based on project needs).
Anticipated total program funding: Approximately $2,500,000.
Estimated number of awards: 10.
What could I use the funding for?
Fund research focused on the design, implementation, and evaluation of clinical informatics tools and methods that:
Enable data-driven discovery and evidence-based decision-making.
Transform raw, heterogeneous health data (e.g., EHRs, clinical notes, imaging, patient-generated data) into usable knowledge.
Produce scalable, reproducible, domain-independent approaches broadly applicable across clinical settings.
Improve clinical workflows, predictive analytics, decision support, interoperability, and precision health.
Are there any additional benefits I would receive?
Potential to accelerate scientific insights and inform future research beyond the project period.
Alignment with NLM’s mission to advance data-driven biomedical research and healthcare.
Software, datasets, methods, and resources are expected to be disseminated widely to maximize impact.
What is the timeline to apply and when would I receive funding?
Standard NIH due dates: June 5, October 5, February 5 recurring through 2029 (all due by 5:00 PM local time of the applicant).
NOFO expiration date: March 6, 2029.
Earliest possible project start: July 2026.
Where does this funding come from?
This opportunity is funded by the U.S. Department of Health and Human Services (HHS) through the National Institutes of Health (NIH), specifically the National Library of Medicine (NLM).
Who is eligible to apply?
Eligible applicants include:
Higher education institutions (public and private).
Nonprofits (with or without 501(c)(3) status).
For-profit organizations, including small businesses.
Local and state governments.
Tribal governments and organizations.
Foreign organizations (subject to NIH policies).
Important NIH policy: NIH will not issue awards for applications that include foreign subawards or subcontracts unless submitted to a NOFO specifically for international collaborations.
What companies and projects are likely to win?
Competitive applications will:
Address transformative clinical informatics challenges and align tightly with NLM goals.
Demonstrate innovation, scalability, and generalizability beyond narrow disease-specific problems.
Provide clear plans for evaluation, dissemination, and sustainability of tools and methods.
Present metrics for impact and comparison to existing approaches.
Are there any restrictions I should know about?
Projects must be clearly focused on clinical informatics and not be incremental improvements of existing tools.
Projects primarily focused on social determinants of health or ethical/legal/social issues are considered non-responsive.
Applications with foreign subawards/subcontracts are noncompliant and will not be reviewed.
How long will it take me to prepare an application?
Preparation time depends on your readiness, but NIH typically recommends starting months before the nearest due date to:
Complete registrations (Grants.gov, eRA Commons, SAM/NCAGE, UEI).
Develop a rigorous research plan with evaluation and dissemination strategies.
Coordinate any institutional approvals.
Begin ASAP to ensure you meet the due date’s 5:00 PM local time deadline.
How can BW&CO help?
BW&CO can:
Translate scientific aims into NIH-aligned application narratives.
Help articulate innovation, significance, and approach clearly.
Build budget justification and milestone plans that meet NIH expectations.
Develop data management, dissemination, and impact strategies that strengthen score.
How much would BW&CO Charge?
We have both fractional engagements ($250 an hour) and full engagements for submitting application ($13,000) available.
Additional Resources
BRAIN Initiative: Theories, Models and Methods for Analysis of Complex Data from the Brain
Deadline: October 6, 2026
Funding Award Size: $500k - $2m
Description: Apply for NIH BRAIN Initiative R01 funding under RFA-DA-27-004 to develop innovative theories, computational models, and analytical methods for complex brain data. Applications due October 28, 2025; October 6, 2026; and October 6, 2027 (5:00 PM local time).
Below is a brief summary. Please check the full solicitation before applying (link in resources section).
Executive Summary:
The NIH BRAIN Initiative: Theories, Models and Methods for Analysis of Complex Data from the Brain (RFA-DA-27-004) is a competitive R01 research grant supporting the development of innovative theories, computational models, and analytical tools to advance understanding of brain function from complex neuroscience data. This funding is part of the NIH BRAIN Initiative, aiming to transform neuroscience through quantitative, predictive frameworks. Applications are due as soon as October 6th, 2026.
How much funding would I receive?
Application budgets are not limited, but NIH expects direct costs of approximately $150,000 – $350,000 per year.
Awards are for up to 3 years of support.
NIH anticipates funding multiple awards each cycle, depending on score and available appropriations.
What could I use the funding for?
Theories of brain function
Development of predictive, mathematically-grounded theories explaining how behavior arises from neural structure, circuit dynamics, computation, cognition, and environmental variables. Examples include:
Theories of embodied computation that anchor the neural representation of sensory, cognitive, and motor variables to an individual/animal’s ongoing interactions with the environment through dynamic, moment-to-moment, circular, and iterative processes.
Theories that bridge multiple scales of spatial organization (e.g., molecular, synaptic, cellular, circuit, systems) and/or temporal dynamics (e.g., milliseconds to lifetimes) to generate testable predictions of brain-behavior links or cognitive function.
Theories linking circuit dynamics and function to specific properties of cell types or anatomical connections, identifying general rules, scaling principles, and contributions of specific circuit motifs to computation.
Theories elucidating fundamental computational principles employed by biological neural networks, potentially drawing inspiration from or contrasting with artificial networks, but firmly grounded in biological constraints (e.g., neuronal/synaptic dynamics, connectivity patterns, metabolic limits, specific cell-type properties, learning rules).
Computational models of neural and behavioral dynamics
Development and validation of quantitative models that are mechanistically grounded, interpretable, predictive, and rigorously tested against neural and behavioral data. Examples include:
Mechanistic, interpretable, and/or predictive models of neural dynamics, circuit function, or brain-behavior links that integrate biological details with computational principles.
Models that integrate knowledge across multiple levels (e.g., linking behavior to neural population activity and cellular/circuit properties).
Models of cognitive processing (e.g., sensory coding, decision-making, motor control, learning, memory) that are mechanistically grounded in identified circuit elements and dynamics, make quantitative predictions, and are rigorously tested against neural and behavioral data, potentially under ecologically relevant or challenging conditions (e.g., limited information, dynamic environments).
Development and analysis of neural-inspired computational architectures or artificial intelligence/machine learning systems explicitly designed to gain novel insights into brain function.
Methods for complex data analysis
Development of novel computational, statistical, and analytical techniques designed to extract key insights from complex, large-scale neuroscience datasets. Examples include:
Development of innovative and scalable computational/statistical methods for dimensionality reduction, identifying latent structure, disentangling contributing factors (e.g., sensory, motor, cognitive, state variables), extracting key dynamical features, or characterizing information flow within large, complex neural and behavioral datasets.
Novel approaches for principled data fusion and assimilation to quantitatively integrate heterogeneous datasets (e.g., linking behavior with multi-regional activity, anatomical connectivity, and cell-type information) to infer new theories of brain function, or to constrain and validate multi-scale computational models.
Novel statistical/signal processing methods (e.g., component analysis, graphical models, compressed sensing) to track structure in neural data and link to biophysical signals for mechanistic insights across scales.
Are there any additional benefits I would receive?
Collaboration with NIH program staff and participation in the broader BRAIN Initiative network.
Tools developed are expected to be shared with the neuroscience community, enhancing visibility and impact.
What is the timeline to apply and when would I receive funding?
Application Due Dates (all by 5:00 PM local time):
Cycle 2: October 6, 2026
Cycle 3: October 6, 2027
Expiration of this NOFO: November 9, 2027
Following review, awards generally begin in March–July of the year after submission.
Where does this funding come from?
This funding is provided by the National Institutes of Health (NIH) through multiple participating Institutes and Centers under the NIH BRAIN Initiative, including NIDA, NEI, NIA, NIAAA, NIBIB, NICHD, NIDCD, NIMH, NINDS, and NCCIH.
Who is eligible to apply?
Eligible applicant organizations include:
Higher Education Institutions
Nonprofit organizations
For-profit organizations (including small businesses)
Local/state governments and tribal governments
Foreign organizations (with restrictions on foreign subawards)
Other research or non-profit entities
Eligible individuals are those qualified to lead the proposed research.
What companies and projects are likely to win?
Strong applicants typically:
Propose novel and rigorous theoretical or computational frameworks.
Demonstrate deep expertise in neuroscience, modeling, or computational analysis.
Have clear plans to validate and share tools with the research community.
Show relevance to BRAIN Initiative goals and the integration of complex datasets.
Are there any restrictions I should know about?
Clinical trials are not allowed—only research on theory/model/method development.
Proposed work must go beyond simple data collection and focus on quantitative theories or analytical tools.
Foreign subawards are not permitted; collaborations must be unfunded or through other compliant mechanisms.
How long will it take me to prepare an application?
Plan 4-5 months minimum for:
Concept development
Budget preparation
Letters of support and team coordination
Registering with Grants.gov and eRA Commons (if not already completed)
NIH registration processes can take 6+ weeks, so start early.
How can BW&CO help?
BW&CO can assist with:
Translating your science aims into NIH-ready specific aims.
Coordinating NIH format and submission requirements.
Aligning proposal with BRAIN Initiative priorities.
How much would BW&CO Charge?
We have both fractional engagements ($250 an hour) and full engagements ($13,000 + 5%) available.
Additional Resources
Review the solicitation here.
NIDDK: Advancing Research on the Application of Digital Health Technology to the Management of Type 2 Diabetes
Deadline: October 6, 2026
Funding Award Size: $500k - $2m
Description: Apply for NIH NIDDK RFA-DK-26-315 funding to conduct clinical trials testing digital health technologies for Type 2 Diabetes management. Applications due October 6, 2026 by 5:00 PM local time
Below is a brief summary. Please check the full solicitation before applying (link in resources section).
Executive Summary:
NIH/NIDDK is seeking investigator teams to lead clinical trials testing digital health technologies in Type 2 Diabetes management. This R01 requires a clinical trial and aims to build evidence on how digital tools (e.g., continuous glucose monitors, mobile apps, telehealth, wearables) can improve glycemic and related outcomes in people with Type 2 Diabetes. Applications are due October 6, 2026 by 5:00 PM local time — plan ahead to prepare a full clinical trial proposal that adheres to NIH requirements.
How much funding would I receive?
Funds anticipated: Direct costs ~
$1.5M in FY2026,
$3.0M in FY2027-2030,
$1.5M in FY2031.
Award budget: Not capped — must reflect actual needs of the proposed clinical trial project.
Project period: Up to 5 years.
What could I use the funding for?
General principles:
Multimodality DHT interventions that for example, combine CGM concurrently with other digital interventions in a virtual remote continuous care intervention, though not required, are of particular interest to this NOFO.
All investigators are expected to include meaningful engagement approaches with the relevant research population in designing and implementing the proposed trial. This may involve engagement with patients, family members or caregivers, community members, community-based organization, clinicians and other care providers, health care systems, or other relevant partners throughout the research process. Meaningful engagement must entail more than focus groups, surveys, or other activities where partners are only involved as participants or respondents. Engagement must be designed to ensure that the research is practical and aligns with partners' preferences and values. Meaningful collaboration will lead to optimal trial recruitment and conduct as well as potential for future dissemination and sustainability.
Multiple digital interventions have applicability to management of both T1 and T2 diabetes and these DHT interventions are of interest to this NOFO.
Partnering with industry providers of virtual diabetes clinic offerings is allowed but not required.
Clinical trials funded in response to this NOFO are expected to provide efficacy data that will enable future large multicenter clinical effectiveness studies on the application of DHT to PWD.
Examples of DHT interventions to be tested include, but are not limited to:
Continuous glucose monitoring:
Studies on the efficacy of CGM in T2D, including in PWD not taking insulin
Studies on the utility of CGM in persons with prediabetes, for example, interventions that prevent the progression of prediabetes to diabetes
Studies examining the role of CGM in monitoring and adapting dietary interventions
Studies on the dose and duration of CGM usage necessary to effect change in health activation and healthy behaviors
Studies to assess and promote the accessibility, adoption and sustainability of CGM interventions
Studies assessing and improving the integration of CGM into clinic workflow, particularly in primary care settings
Activity monitoring:
Studies examining the role of digital monitoring of activity on improvement of glycemia and other metabolic parameters in PWD
Digital nutritional monitoring
The use of mobile applications to facilitate measures of macronutrient content of meals in PWD, and the impact of these interventions on diabetes-specific outcomes.
Telemedicine, directed text messaging, patient portals, and peer-support
Studies assessing the incorporation of virtual communication into a multimodality virtual diabetes clinic model
Studies examining the influence of digital methods of multi-touchpoint peer support on glycemic and non-glycemic diabetes-specific outcomes
Gaming and gamification
Studies examining the effect of digital gamification on the uptake and sustained adoption of diabetes education to improve knowledge and promote self-care behaviors (dietary, activity, and medication adherence) in a manner that improves diabetes-specific outcomes
DHT adoption and sustainment
Studies examining factors predicting and improving patient engagement, adoption, and sustained use and utility of DHT interventions in PWD, and phenotyping according to acceptance of different modalities of DHT (CGM, wearables, telehealth, etc.)
Studies examining the role of interventions to improve access of DHT for all PWD; to evaluate, measure, and improve digital literacy; and examine the influence of health beliefs and trust in the HCS on the successful utilization of all forms of DHT, including telemedicine
Studies examining the influence of DHT interventions on patient engagement, self-empowerment, diabetes distress, and quality of life using validated measures.
Studies including a specific aim to determine the cost-effectiveness of specific DHT interventions in PWD
Studies examining the effect of incentivizing PWD, providers and the health care system to incorporate DHT into diabetes management
Studies examining the role of digital health navigators, including AI-based systems, in improving the acceptability and sustainability digital health interventions in PWD
Are there any additional benefits I would receive?
Potential to position your digital health intervention for future large multicenter effectiveness studies if early clinical evidence is strong.
Grant support includes access to NIH peer review and scientific oversight.
Note: There’s no letter of intent required.
What is the timeline to apply and when would I receive funding?
Posted Date: September 17, 2025
Application Due: October 6, 2026 by 5:00 PM local time
Where does this funding come from?
NIH — National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), part of the U.S. Department of Health and Human Services.
CFDA: 93.847 — Diabetes, Digestive, and Kidney Diseases Extramural Research.
Who is eligible to apply?
Eligible domestic applicants include:
Higher education institutions (public/private)
Nonprofits (with or without 501(c)(3) status)
For-profit organizations (including small businesses)
Local and state governments
Tribal governments/organizations
Public housing authorities
Independent school districts
U.S. Federal agencies are eligible
Foreign organizations are NOT eligible.
What companies and projects are likely to win?
Strong proposals will have:
A clearly defined clinical trial plan with measurable outcomes.
Meaningful patient, provider, and community engagement integrated into design and implementation.
Digital interventions that are ready for testing, not just conceptual.
Evidence of feasibility and mechanism for adoption in real-world settings.
Are there any restrictions I should know about?
Not responsive:
Projects developing new digital devices or algorithms.
Studies focused on automated insulin delivery, artificial pancreas, or hybrid closed-loop tech.
Research using DHT data only for subtyping/classification.
Mechanistic trials that are not testing an intervention’s effectiveness.
How long will it take me to prepare an application?
Typical NIH R01 applications take several months to:
Develop a rigorous clinical trial design,
Form research team + collaborations,
Draft research strategy + human subjects sections,
Complete registrations (SAM, eRA Commons).
Most institutions begin 6-12 months before due date.
How can BW&CO help?
BW&CO can assist with:
Translating this technical RFA into a clinical trial proposal roadmap.
Crafting aims, hypotheses, and outcomes tables tailored to NIH review criteria.
Aligning digital intervention strengths with NIH priorities.
Supporting human subjects/clinical trial documentation and compliance.
How much would BW&CO Charge?
We have both fractional engagements ($250 an hour) and full engagements ($13,000 + 5%) available.
Additional Resources
Review the solicitation here.