Postdoc in Agentic AI for Scientific Discovery in Genomics Full-time

Postdoctoral Position in AI for Single-cell Omics

We are looking for a highly motivated and dynamic postdoc for a 3-year position, to commence 15th April 2026, or soon thereafter (flexible start date).

The PhD project is part of the NNF-funded research initiative “A-SOuRCCE: AI for Single-cell Omics and Reproducible Cardiometabolic and Cancer Exploration” awarded to Prof. Fran Supek. This ambitious project aims to build autonomous “AI co-pilots” that can navigate complex single-cell datasets to generate and prioritize novel mechanistic hypotheses for human disease.

Our group and research.

The Supek group is an interdisciplinary team at the Biotech Research & Innovation Centre (BRIC), working at the intersection of genomics, molecular biology, and artificial intelligence. The lab performs statistical analysis of large-scale datasets (cancer genomics, population genomics) using cutting-edge techniques including machine learning and genomic language models. We further generate our own genomics data and work with gene editing to generate models of cancer evolution.

We focus on frontier research projects, including the ERC Consolidator project “STRUCTOMATIC”, the Danish Cancer Society project “AI-DRIVERS”, EU Horizon consortia “DECIDER” and “LUCIA” and others. We are embedded in a broad network of international collaborators and offer a vibrant, international research environment.

The lab is at the Biotech Research & Innovation Centre (BRIC), a flagship Danish biomedical research institute, and a part of the University of Copenhagen, a highly-ranking European university.

The Project “A-SOuRCCE”.

Modern single-cell sequencing can map the activity of thousands of genes in individual cells, but interpreting this vast data remains a bottleneck. A-SOuRCCE aims to solve this by developing an Agentic AI framework — a system where Large Language Models (LLMs) act as reasoning engines. However, an AI agent is only as smart as the knowledge it can access.

Your role.

You will act as the “AI for Scientific Hypothesis Evaluation” architect. You will build the “mind” of the A-SOuRCCE agent—the reasoning core that plans analyses, formulates hypotheses, and rigorously critiques its own ideas.

You will lead the development of the hypothesis Synthesis Engine, moving beyond simple chatbots to create a true autonomous research agent. Your responsibilities are anticipated to include:

• You will design and implement the agent's core architecture (using frameworks like e.g. LangChain). This involves creating the “Planner” that breaks down high-level biological questions into executable steps and the “Tool User” that calls the analysis pipelines built by the PhD students.
• You will develop the algorithms that assess the scientific value of a generated hypothesis. This includes (i) Novelty: Using LLMs to scan literature and quantify how “surprising” a finding is compared to the state-of-the-art, and (ii) Plausibility: Implementing “chain-of-reasoning” checks against the Knowledge Graph to ensure hypotheses are biologically sound.
• You will implement “Critique Agents” that challenge the primary agent's findings, simulating the peer-review process to reduce hallucination and increase robustness.
• You will lead the fine-tuning and prompting strategies (e.g., prompt optimization via DSPy, Chain-of-Thought, Tree-of-Thoughts, RAG) to improve the reasoning capabilities of open-weights models (e.g., Nemotron, Mistral, Gemma, LFM2…) for scientific discovery.

Team collaboration.

You will work closely with the other postdoc/engineer to stress-test and improve the Federated Disease Knowledge Graph technology, ensuring it is a useful tool for assessing novelty and plausibility of generated hypotheses. You will further work closely with PhD students who will apply your KG system to assess and validated their single-cell data analysis, which they applied to cancer, and to cardiovascular/metabolic diseases.

Profile and qualifications.

We are looking for a highly motivated and enthusiastic scientist with the following competencies and experience:

• Essential: A PhD in Data Science, Statistics/Mathematics, Bioinformatics, Computer Science, Machine Learning, Computational Biology, or a related field.
• Essential: Strong proficiency in Python and familiarity with deep learning frameworks.
• Desirable: Experience with natural language processing, especially Large Language Models (LLMs), Prompt Engineering, RAG, or Agentic frameworks (e.g. LangChain, LlamaIndex, AutoGen).
• Desirable: Some familiarity with genomic data (particularly gene function or regulation) or biological/medical graphs — though deep biological knowledge is not required; you will learn this from the team.
• Desirable: A track record of innovative AI/ML research e.g., publications in top journals in bioinformatics/genomics/high-impact interdisciplinary, or highly-regarded conferences such as NeurIPS, ICLR, ICML, or top bioinformatics journals.

Place of employment

The place of employment is at the BRIC, Faculty of Health and Medical Sciences, University of Copenhagen.

We offer integration into a dynamic, interdisciplinary team of biologists and data scientists. BRIC is an elite scientific institution, providing creative and stimulating working conditions in dynamic and international research environment. Our research facilities include modern laboratories and high-performance computing facilities. In addition to a competitive salary and social benefits, you will have the opportunity to live in Copenhagen, consistently ranked as one of the world's most livable cities.

Terms of employment

The average weekly working hours are 37 hours per week. The position is a fixed-term position limited to a period of 3 years. The starting date is 15th April 2026, or as soon as possible thereafter.

Salary, pension and other conditions of employment are set in accordance with the Agreement between the Ministry of Finance and AC (Danish Confederation of Professional Associations) or other relevant organisation. Currently, the monthly salary starts at 39,237 DKK/approx. 5,252 EUR (November 2025 level). Depending on qualifications, a supplement may be negotiated. The employer will pay an additional 18.07 % to your pension fund.

Foreign and Danish applicants may be eligible for tax reductions, if they hold a PhD degree and have not lived in Denmark the last 10 years.

The position is covered by the Job Structure for Academic Staff at Universities 2025.

Questions

For informal inquiries about the project and the postdoc position, please contact Prof. Fran Supek.

Application procedure

Your online application must be submitted in English by clicking 'Apply now' below. Furthermore, your application must include the following documents/attachments – all in PDF format:

1. Motivated letter of application (max. one page).
2. CV incl. education, work/research experience, language skills and other skills relevant for the position.
3. A certified/signed copy of a) PhD certificate and b) Master of Science certificate. If the PhD is not completed, a written statement from the supervisor will do.
4. List of publications (including preprints, high-ranking conference proceedings, and code repository). Please include summaries for 1-3 selected publications, describing the significance and main results from the study, and specifying your contributions to each particular study.

Deadline for applications: 10 February 2026, 23.59pm CET

We reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the abovementioned requirements.

The further process

After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the hiring committee. All applicants are then immediately notified whether their application has been passed for assessment by an unbiased assessor. Once the assessment work has been completed each applicant has the opportunity to comment on the part of the assessment that relates to the applicant him/herself.

You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/

The applicant will be assessed according to the Ministerial Order no. 242 of 13 March 2012 on the Appointment of Academic Staff at Universities.

Interviews are expected to be held during February and/or March 2026.

The University of