Novo Nordisk Foundation Data Science Investigator Programme is a grant from the Novo Nordisk Foundation supporting independent research leaders in data science and computational science. Awards reach up to DKK 14. 7 million per grant and are available to junior, mid-career, and established research leaders.

The 2026 programme features a single combined application track, with a deadline of July 15, 2026. Research must address challenges in health, life sciences, or sustainability through data-driven and computational approaches managed by the Foundation's Data Science committee.

Data Science Investigator Programme 2026 - Novo Nordisk Fonden Data Science Investigator Programme 2026 15 July 2026 2:00pm (Copenhagen time) Rules, grant administration and FAQ Up to DKK 14.

7 million per grant Research Leaders (junior/non-tenured), Research Leaders (Mid-career/Associate Prof.), Research Leaders (Established/Prof.) Committee for Data Science Grant Manager, Grant Management Scientific Manager, Technical Sciences The Data Science Investigator Programme now features a single, combined set of guidelines for all three career levels: ‘Emerging’, ‘Ascending’, and ‘Distinguished’.

Each call targets principal investigators at a specific career stage. Applicants must carefully review the combined Application Guidelines (dark blue box above) before initiating the application process. The guidelines provide essential information on the call, eligibility, and application content, and include an FAQ section to address common questions.

It is the applicant’s responsibility to ensure they apply under the correct career level in the NORMA application system. Within the application system, the call will be separated into the Emerging, Ascending, and Distinguished Investigator categories . Applicants must select and submit their application to the correct call in NORMA .

Applications will not be transferred between categories. The Data Science Investigator Programme supports excellent research leaders based in Denmark at different career stages within data science and computational science. The programme aims to strengthen the quality and size of the Danish academic environment for data science research and education, in line with the Foundation’s strategy .

The intended impact is to increase the output of highly skilled candidates to meet the strong demand for data science and computational science expertise across all sectors of society. The programme consists of three career-level specific grants.

Applicants must ensure they meet the eligibility criteria for the level they apply to (see the guidelines for more detailed information about each level as applications submitted under the wrong category will not be transferred): For talented starting group leaders (typically senior postdocs, senior researchers, or assistant professors) establishing their independence.

Ideal applicants should have 4-8 years of research experience after having received their PhD degree (leave of absence not included). For excellent and independent Associate Professors or experienced Assistant Professors (or equivalent) with the ambition and potential to rise to the highest international level.

Ideal applicants should have 7–15 years of research experience after having received their PhD degree (excluding any leave of absence). Distinguished Investigator For outstanding Professors with novel research ideas and a track record of international leadership. Ideal applicants will have 15+ years of research experience after obtaining their PhD degree (leave of absence not included).

Research proposals eligible for funding should address: Development of new algorithms, methods, and technologies within data science or computational science, artificial intelligence (including machine learning and deep learning), statistics, bioinformatics, and other computational sciences (including mathematical modelling, simulations, cybersecurity, etc.) and/or Applications of data science and computational sciences to areas of relevance to the Foundation’s strategy and grant awarding activities, including life science, biomedical and health science, public and global health, infectious disease, sustainability, green transition, agriculture, as well as natural and technical sciences.

For projects mainly concerned with methods development, it is important that the applicants argue convincingly for potential application and impact within NNF’s scientific focus areas (Health, Sustainability, Life Science Ecosystem).

Conversely, projects that have their primary focus on the application side must describe and explain the novelty and impact of their data- and computational science approach, be it development of novel methods or novel applications of existing methods.

In general, projects without potential applications within NNF’s scientific focus areas and/or projects with no novelty in terms of development or application of computational methods will not be funded in this programme.

Projects where the primary focus is on financial or insurance, fraud detection, advertisement, commercial analysis, telecommunication, mass surveillance, defense, cyber security, gaming, etc., are considered outside of scope and will generally not be considered for funding. Eligibility – Please refer to the combined guidelines for detailed eligibility criteria for each career level.

All three career levels are open to research leaders employed and based in Denmark . The project must be anchored at a university or other non-profit research institution in Denmark, which will be the administrating institution of the grant. The applicant must be the principal investigator, and more junior applicants must act independently from more senior researchers at the host institution.

Applicants must contribute to educational or training activities within data science or computational science at their host institution and/or at other institutions in Denmark. Grant size: Up to DKK 14. 7 million per grant over a period of up to five years.

Total annual budget: Up to DKK 99 million across all three career levels. The application must be completed and submitted using the foundation’s application system NORMA that can be accessed via the link “ Apply now ”. Applicants must select and submit their application to the correct call in NORMA.

Applications submitted under the wrong category will not be transferred. Click here to see a list of former grant recipients. For further details, please refer to the full combined guidelines.

NNF Kenya A/S Branch Office Studio 608 and 609, 6th floor NNF India A/S Branch Office Data Ethics and AI Policy Ethics in major construction Yes, I would like to receive relevant news from the Novo Nordisk Foundation. Please enter a valid e-mail address