Postdoc in Computational Biology

The Department of Molecular Medicine at the University of Southern Denmark (SDU) invites applications for a position as postdoc in Computational Biology in the laboratory of Dr. Sanjeeb Kumar Sahu, D-IAS Assistant Professor and Novo Nordisk Foundation Group Leader. The position is available from February 1, 2026, (or as soon as possible thereafter) for 12 months initially, with the possibility of extension up to three years depending on performance. This position offers an exciting opportunity to join a multidisciplinary and collaborative research environment combining genomics, bioinformatics, aging biology, epidemiological data and AI‑driven systems modeling. The successful candidate will develop and apply computational and machine learning approaches to decode the molecular and epigenetic mechanisms of cellular aging, resilience, and fibrosis. Responsibilities Develop and implement analytical pipelines for large‑scale single‑cell, spatial, and multi‑omics data integration Build and apply machine learning and AI‑based models to uncover key regulatory networks underlying inflammation, aging, and regeneration Collaborate closely with experimental biologists, clinicians, and computational partners in Denmark and abroad Contribute to scientific publications, conference presentations, and student supervision Participate in collaborative grant proposals and interdisciplinary project development Required Qualifications Ph.D. in Bioinformatics, Computational Biology, Systems Biology, or a related field Proven experience in the analysis of single‑cell or spatial omics datasets Strong programming skills in Python and/or R Familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow, scikit‑learn) Excellent problem‑solving, organizational, and communication skills Demonstrated ability to work both independently and as part of a team Preferred Qualifications Experience in graph‑based AI models, multi‑omics data integration, or network inference Background in epigenomics, gene regulation, or aging biology Interest in applying AI to biological systems and contributing to data‑driven hypothesis generation Experience with Linux‑based computational environments or high‑performance computing clusters Sahu Lab Dr. Sanjeeb Kumar Sahu is a D-IAS Assistant Professor and Novo Nordisk Foundation Group Leader at the Genome Biology Research Unit, Institute for Molecular Medicine, University of Southern Denmark. The Sahu Lab integrates mouse genetics, single‑cell multi‑omics, and CRISPR Cas9‑based functional genomics with computational systems biology to uncover the molecular logic of cellular resilience and dysfunction during aging. By combining high‑resolution experimental and computational approaches, the lab seeks to define key gene regulatory mechanisms that govern aging, inflammation, and tissue regeneration, within a collaborative and innovation‑driven environment supported by strong national and international partnerships. Lab website: About the Department of Molecular Medicine (IMM) The Department of Molecular Medicine at SDU conducts pioneering research into human physiology and disease mechanisms, with a strong emphasis on translational and integrative biology. IMM hosts a diverse and vibrant community of experts in genomics, proteomics, neurobiology, cancer biology, and chromatin biology, fostering a collaborative and interdisciplinary research culture closely linked to clinical medicine. What We Offer Opportunity to conduct high‑impact, interdisciplinary research at the intersection of genomics, AI, and aging biology Access to state‑of‑the‑art computational and omics infrastructure at SDU and national supercomputing facilities A stimulating, inclusive, and international research environment with mentoring and career development opportunities Competitive salary and social benefits according to the agreement between the Danish Ministry of Finance and AC (Danish Confederation of Professional Associations) Comprehensive relocation support for housing, visa, and tax matters through SDU's International Staff Office Contact Information For further details about the position, please contact Dr. Sanjeeb Kumar Sahu at Application deadline November 30, 2025, at 23:59 hrs. CET Salary The successful applicant will be employed in accordance with the agreement between the Ministry of Finance and AC (the Danish Confederation of Professional Associations). Application Applications must be in English and submitted electronically using the link "Apply now". Attached files must be in Adobe PDF format. We strongly recommend that you read "How to apply for a position at SDU" before you apply. The application must include (as PDF files) (please note that the application (the motivation letter) and CV must not exceed 10 MB in total): A letter stating the interest, motivation and qualifications for the project (max. 2 pages) A detailed CV, including personal contact information and information on 3 referees A complete and numbered list of publications Degree certificates (including documentation of master's and PhD degree) Up to 3 scientific peer‑reviewed publications considered by the candidate as most important for this position If you experience technical problems, you must contact Please note that all the above‑mentioned information must be included in the application. Incomplete applications and applications received after the deadline will not be taken into consideration. Applications may be shortlisted. Shortlisted applications will be assessed by an expert committee. Living and working in Denmark Foreign applicants will be offered Danish language training as part of the employment. The International Staff Office (ISO) at SDU provides a variety of services for new employees, guests and people who consider applying for a job at the University of Southern Denmark. Read about working in Denmark (Danish rules and guidelines) here. The University wishes our staff to reflect on the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background. Join us in decoding the molecular and computational networks that drive aging and resilience and help shape the future of healthy longevity. #J-18808-Ljbffr