Jordi Merino
11 months ago
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Postdoctoral Fellowships in Bioinformatics, Single-Cell Omics, AI, and Systems Biology University of Copenhagen in Denmark
Degree Level
Postdoc
Field of study
Computer Science
Funding
Available
Deadline
Expired
Country
Denmark
University
University of Copenhagen
Suggested positions
Keywords
About this position
The University of Copenhagen's Novo Nordisk Foundation Center for Basic Metabolic Research (CBMR) invites applications for postdoctoral fellowships in bioinformatics, single-cell omics, artificial intelligence, and systems biology. The Merino Group at CBMR is seeking a highly motivated postdoctoral researcher to join their interdisciplinary team, focusing on computational and integrative biology projects that aim to unravel the early molecular and regulatory changes preceding cardiometabolic disease onset.
CBMR is a leading research center dedicated to advancing the understanding of cardiometabolic health through collaborative, interdisciplinary research spanning single-cell genomics to whole-body systems. The Merino Group integrates wearable data, digital health tools, molecular profiling, and AI within a precision health framework to better classify, prevent, and treat type 2 diabetes and related metabolic disorders.
The successful candidate will lead and support projects centered on molecular profile characterization, with a strong emphasis on gene regulatory programs and omics readouts at cellular resolution. The role involves developing computational approaches to model dynamic regulatory programs of cells and tissues, combining single-cell multi-omics, wearable-derived measures, machine learning, and network biology. The goal is to map how genes, proteins, and other molecular readouts interact to shape cellular states, signaling pathways, and disease trajectories, ultimately contributing to precision prevention and treatment strategies for cardiometabolic diseases.
Applicants must hold a PhD in bioinformatics, machine learning, computational biology, statistical genetics, genomics, or a related discipline. Essential qualifications include expertise in analyzing large-scale datasets (e.g., single-cell RNA-seq, genomic, or multi-omics data), proficiency in Python or R, and experience with machine learning, systems biology, or network modeling. Prior experience in human cardiometabolic or complex diseases and familiarity with omics-to-phenotype analyses are advantageous. Strong communication skills, scientific productivity, and the ability to work in a multidisciplinary, international team are required.
The position is full-time, fixed-term for three years, starting 1 March 2026 or as agreed. Salary, pension, and terms of employment follow the agreement between the Ministry of Finance and AC, with possible supplements based on qualifications. Eligible non-Danish and Danish applicants may benefit from tax reductions. The workplace is located at the Maersk Tower, Panum Institute, University of Copenhagen, offering a creative and stimulating international research environment.
To apply, submit your application online in English, including a motivated letter, CV, certified copies of PhD and MSc certificates (or supervisor statement if PhD not completed), and a list of publications. The application deadline is 7 December 2025, 23:59 CET. For further information, contact Associate Professor Jordi Merino at [email protected]. For recruitment procedure questions, contact SUND HR CBMR at [email protected]. Additional resources for international applicants are available at www.ism.ku.dk and https://www.workindenmark.dk/.
Funding details
Available
What's required
Applicants must hold a PhD degree in bioinformatics, machine learning, computational biology, statistical genetics, genomics, or a related discipline. A strong computational background with expertise in analyzing large-scale datasets (such as single-cell RNA-seq, genomic, or multi-omics data) is required. Proficiency in programming languages such as Python or R is essential. Experience with machine learning, systems biology, or network modeling approaches is expected. Previous expertise in human cardiometabolic or complex diseases, with domain expertise in glycoproteins, is desirable. Familiarity with variant-to-function approaches or other omics-to-phenotype analyses is an asset. Applicants should demonstrate scientific productivity through publications in peer-reviewed journals, possess strong communication skills, and be able to work effectively in a multidisciplinary and international team. Excellent English communication skills, both written and oral, are required. Experience in mentoring or supervising junior researchers is desirable.
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Professors
Associate Professor at University of Copenhagen
Denmark
Research Interests
Statistics
Artificial Intelligence
Medical Science
Computer Science
Omics
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