Are you a bioinformatician passionate about applying your skills to uncover the molecular underpinnings of human disease? We are seeking a highly motivated Postdoctoral Fellow to join the Cardiac Proteomics & Systems Biology Group at the University of Copenhagen. This position offers a unique opportunity to work at the intersection of proteomics, clinical data integration, and AI-based image analysis to explore molecular phenotypes of cardiac disease.
About the Project You will lead the analysis of a large-scale mass spectrometry-based proteomics dataset derived from archival FFPE-preserved cardiac tissue samples from a well-characterized patient cohort. Your work will focus on identifying molecular profiles associated with distinct cardiac disease presentations.
In addition to proteomics data, you will have access to clinical metadata for integrative analysis and histological images (HE-stained sections) from the same heart samples, enabling exploration of AI-driven image analysis approaches.
Your Key Responsibilities - Perform high-quality downstream analysis of DDA/DIA LC-MS/MS proteomics data
- Integrate clinical parameters with molecular data to identify disease-associated signatures
- Apply or develop AI-based methods for histological image analysis (optional but encouraged)
- Conduct multi-modal data integration to define molecular phenotypes of cardiac disease
- Contribute to manuscript writing and dissemination of findings
- Collaborate with team members and support junior researchers in data analysis
Your Profile We are looking for a creative and driven scientist with a strong background in bioinformatics and a keen interest in translational cardiovascular research.
Essential qualifications: - PhD in bioinformatics, computational biology, systems biology, or a related field
- Proven experience in analyzing mass spectrometry-based proteomics data (DDA/DIA)
- Familiarity with software frameworks such as DIA-NN, FragPipe, or comparable platforms
- Strong programming skills in Python and/or R, and solid understanding of statistical data analysis
- Experience integrating clinical or multi-omics datasets
- Excellent communication skills in English, both written and spoken
- At least one first-author publication in a relevant field
- Ability to work independently and collaboratively in a multidisciplinary team
Desirable qualifications: - Familiarity with AI-based image analysis (e.g., deep learning for histology)
- Background in cardiac biology or related biomedical fields
- Experience with FFPE sample data or histopathological datasets
The preferred applicant should have an excellent academic track record, solid research experience and be highly motivated to deploy diverse strategies to extract novel findings of importance to pathophysiology. Previous research experience in an ambitious research environment is required.
Our group and environment The candidate will be part of the Cardiac Proteomics and Systems Biology group led by Professor Lundby at the Department of Biomedical Sciences at the University of Copenhagen, Denmark. The successful candidate will be working in a team of scientists across multiple scientific fields focused on improving our molecular understanding of cardiac pathophysiology. Our facilities include state-of-the-art laboratories and core facilities as well as modern office spaces. The position provides a unique opportunity to develop expertise in cutting edge quantitative mass spectrometry-based proteomics, data analysis of large datasets and integration of multi-omics datasets. Striving for academic excellence, collegial respect and freedom tempered by responsibility, we offer creative, friendly and stimulating working conditions in a dynamic and strong scientific environment.
Salary and terms of employment Salary, pension and terms of employment will be in accordance with the agreement between the Danish Ministry of Taxation and AC (Danish Confederation of Professional Associations). Depending on qualifications, a supplement may be negotiated.
Non-Danish and Danish applicants may be eligible for tax reductions if they hold a PhD degree and have not lived in Denmark for the past 10 years.
The position is covered by the Job Structure for Academic Staff at Universities 2025.
Workplace and period of employment Workplace is located at Maersk Tower, The Panum Institute, University of Copenhagen, Denmark. The period of employment is 3 years. Suggested start date is March 1, 2026, or soon thereafter.
Further information Further information may be obtained from Professor Lundby:
alicia.lundby@sund.ku.dk.
You can read more about Cardiac Proteomics Group at
www.lundbylab.com You can read more about the Department of Biomedical Sciences at
www.bmi.ku.dk Application procedure Interested candidates are encouraged to submit an online application by clicking “
APPLY NOW” below no later than December 7, 23:59 pm CET.
The File Must Include Applications must be submitted as
PDF file containing all materials to be given consideration.
Attach all your materials in English in PDF file. The application should contain:
- Application (cover letter)
- CV
- Relevant diplomas (incl official translation into English, if in other languages than Danish or English).
- List of publications
- Contact details for two referees
Applications and enclosures received after the deadline will not be considered.
After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Appointments Committee. All applicants are then immediately notified whether their application has been passed for assessment by an expert assessment committee. Selected applicants are notified of the composition of the committee and 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 www.employment.ku.dk The University of Copenhagen wish to reflect the diversity of society and encourage all qualified candidates to apply regardless of personal background. The Faculty of Health and Medical Sciences comprises approximately 7500 students, 1500 PhD students and 3200 employees. The Faculty advances the field of health sciences through its core activities: research, teaching, knowledge sharing and communication. With basic research fields ranging from molecular studies to studies of society, the Faculty contributes to a healthy future through its graduates, research findings and inventions benefitting patients and the community.