Data Scientist for Cardiac Proteomics

Are you passionate about data science and eager to apply your skills to cutting-edge biomedical research? We are looking for a highly motivated and independent Data Scientist to join our dynamic research group and contribute to the analysis of proteomics datasets in the context of cardiac disease. Your roles will span across research projects within our team.

About Us

Our research group investigates the molecular mechanisms underlying cardiac pathology, with a particular focus on proteins and cells involved in disease progression. We work at the intersection of cardiac proteomics, systems biology and molecular cardiology, and our projects are deeply collaborative spanning national and international academic research groups and clinical collaborators.

We foster a diverse and international team culture, where curiosity, creativity, drive and scientific rigor are valued. Our group is embedded at the Department of Biomedical Sciences, University of Copenhagen with a fabulous location in the Mærsk Tower at the Panum Institute.

Your Role

As our new Data Scientist, you will play a central role in analyzing proteomics data generated across multiple projects. You will work closely with experimentalists in our team to extract meaningful biological insights from complex datasets.

Your key responsibilities will include:

• Performing quality control and in-depth analysis of mass spectrometry-based proteomics data
• Leading data analysis across diverse projects, including:
• Large-scale cardiac tissue proteomics from patient cohorts
• Phosphoproteomics and protein interaction studies
• Single-cell proteomics
• Developing and applying computational methods for functional interpretation of proteomics data
• Exploring and implementing novel analytical approaches to enhance data interpretation
• Translating data into biological insights relevant to heart disease
• Communicating scientific findings clearly in writing and contributing to publications
• Supporting lab members with data-related questions and contributing to lab management when needed

Your Profile

We are looking for a data scientist who is not only technically skilled but also scientifically curious and collaborative.

Essential qualifications:

• Hands-on experience with mass spectrometry-based proteomics
• Understanding of different data acquisition modes (particularly DIA), including associated search strategies and quality control procedures
• Familiarity with software frameworks such as DIA-NN, FragPipe, or comparable platforms
• Proficiency in at least one programming language, preferably R and/or Python
• Demonstrated experience with state-of-the-art tools for the analysis of complex MS datasets, such as those derived from enrichment workflows or multi-batch experimental designs
• Strong interest in understanding the structure and nuances of proteomics data
• Eagerness to explore and evaluate new analytical strategies
• Excellent communication skills in English, both written and spoken

Desirable qualifications:

• PhD in a quantitative discipline (e.g., bioinformatics, computational biology, data science, or related fields). Or M.Sc.
• Experience with functional annotation and biological interpretation of proteomics data
• Collegial, proactive, and supportive team player
• Previous involvement in ambitious research environment

You will be expected to contribute to the ongoing research projects in the group on an ad hoc basis when needed; disseminate your expertise to new lab members and support the lab management.

What We Offer

• A stimulating and collaborative research environment
• Access to state-of-the-art proteomics datasets and infrastructure
• Opportunities to work with leading scientists in molecular cardiology and cardiac proteomics
• A workplace that values diversity, creativity, and scientific excellence
• Outstanding facilities

Place of employment

The place of employment is at the Cardiac Proteomics & Systems Biology Group, Department of Biomedical Sciences, University of Copenhagen.

We offer creative and stimulating working conditions in dynamic and international research environment.

Terms of employment

Full-time position (37 hours/week). Fixed-term contract for 3 years.

Starting date: February 1, 2026 (or as agreed). Workplace: Cardiac Proteomics & Systems Biology Group, Department of Biomedical Sciences, University of Copenhagen. Employment will be in accordance with the provisions of the collective agreement between the Danish Ministry of Taxation and AC (the Danish Confederation of Professional Associations). The monthly salary will be based on the number of years of work experience (seniority) with the possibility to negotiate a salary supplement based on prior experiences and qualifications. The employer will pay an additional 18.07 % to your pension fund.

Questions

For further information regarding the position, please contact Professor Alicia Lundby,

Application

Your application should in (English/Danish) include:

• Letter of application addressing the requirements (max. one page).
• Curriculum Vitae
• A certified/signed copy of certificate(s) of education

Please submit your application Only online applications will be accepted.

Application deadline: 7 December 2025, 23.59 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.

Interviews are expected to be held in the weeks following the application deadline.

The University of Copenhagen wish to reflect the diversity of society and encourage all qualified candidates to apply regardless of personal background.

Københavns Universitet giver sine knap medarbejdere muligheder for at udnytte deres talent fuldt ud i et ambitiøst, uformelt miljø. Vi sikrer traditionsrige og moderne rammer om uddannelser og fri forskning på højt internationalt niveau. Vi søger svar og løsninger på fælles problemer og gør ny viden tilgængelig og nyttig for andre.

Alicia Lundby

E-mail:

Ansøgningsfrist:

Ansættelsesdato:

Arbejdstid: Fuldtid

Afdeling/Sted: Department of Biomedical Sciences