Academic Staff Member in Health Data Research
deltid
Academic Staff Member in Health Data Research
We offer a 15-hour fixed-term position (1 February to 30 June 2026) as an academic staff member (TAP-FU) who is bachelor at the Section for Health Data Science and AI at the Department of Public Health at the University of Copenhagen. https://ifsv.ku.dk/
The Section is spearheaded by Professor Søren Brunak and combines a wide range of expertise and resources in data science and artificial intelligence, including machine learning methods applied to electronic patient record data and omics data, bioinformatics, systems biology and epidemiology.
You will be part of a research group which focuses on establishing an early competitive advantage in disease-relevant computer analysis across molecular and clinical data levels.
You will be asked to dive into our EU projects, particularly UNCAN-Connect, by working on disease mechanisms in patient stratification and risk estimation. You will be invited into a diverse and highly interdisciplinary section that is dynamic and ambitious, with many scientific collaborations both nationally and internationally. We expect you to be an active participant in the work that we do.
We expect you to have documented experience in supporting researchers in their work, developing AI models and helping to clean data in international research projects. As the group is cross-disciplinary you may be asked to collaborate and contribute to other international tasks for which the group is responsible. We need the candidate to be able to hit the ground running.
Qualifications
We expect you to be studying bioinformatics or bioscience and have knowledge of coding. Our working languages are Danish and English, and we expect you to be fluent in at least one of them.
The section is interdisciplinary and collaborates with many other research groups nationally and internationally. Strong networking and teamwork skills are therefore preferred.
Place of work
The position is at the Section for Health Data Science and AI at the University of Copenhagen, located at Kommunehospitalet, Øster Farimagsgade 5, 1353 Copenhagen K.
The research environment is ambitious, diverse and international, and the department has access to supercomputer resources and state-of-the-art facilities within data science.
Salary and rights
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.
The Ministry of Finance and the Central Organisation of Academic Professionals (AC) have agreed on a protocol that allows all international researchers employed at the university to obtain a pension exemption, whereby the pension is paid as salary. For more information about the various pension schemes: http://ism.ku.dk/onarrival/pension/
Application procedure
Your application must include the following documents:
1. Cover letter explaining your motivation for applying
2. Curriculum vitae, including education and experience
3. Copy of diploma(s)
After the application deadline, the authorised recruitment manager will select applicants for assessment based on the advice of the recruitment committee. All applicants will then be notified immediately as to whether their application has been forwarded for assessment by an expert assessment committee. Selected applicants will be informed of the composition of the committee, and each applicant will have the opportunity to comment on the part of the assessment that concerns him/her. You can read more about the recruitment process at http://employment.ku.dk
Deadline for applications: 22 December 2025.
For further information about the position or the process, please contact hr-ifsv@adm.ku.dk
The University of Copenhagen wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background.
The Section is spearheaded by Professor Søren Brunak and combines a wide range of expertise and resources in data science and artificial intelligence, including machine learning methods applied to electronic patient record data and omics data, bioinformatics, systems biology and epidemiology.
You will be part of a research group which focuses on establishing an early competitive advantage in disease-relevant computer analysis across molecular and clinical data levels.
You will be asked to dive into our EU projects, particularly UNCAN-Connect, by working on disease mechanisms in patient stratification and risk estimation. You will be invited into a diverse and highly interdisciplinary section that is dynamic and ambitious, with many scientific collaborations both nationally and internationally. We expect you to be an active participant in the work that we do.
We expect you to have documented experience in supporting researchers in their work, developing AI models and helping to clean data in international research projects. As the group is cross-disciplinary you may be asked to collaborate and contribute to other international tasks for which the group is responsible. We need the candidate to be able to hit the ground running.
Qualifications
We expect you to be studying bioinformatics or bioscience and have knowledge of coding. Our working languages are Danish and English, and we expect you to be fluent in at least one of them.
The section is interdisciplinary and collaborates with many other research groups nationally and internationally. Strong networking and teamwork skills are therefore preferred.
Place of work
The position is at the Section for Health Data Science and AI at the University of Copenhagen, located at Kommunehospitalet, Øster Farimagsgade 5, 1353 Copenhagen K.
The research environment is ambitious, diverse and international, and the department has access to supercomputer resources and state-of-the-art facilities within data science.
Salary and rights
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.
The Ministry of Finance and the Central Organisation of Academic Professionals (AC) have agreed on a protocol that allows all international researchers employed at the university to obtain a pension exemption, whereby the pension is paid as salary. For more information about the various pension schemes: http://ism.ku.dk/onarrival/pension/
Application procedure
Your application must include the following documents:
1. Cover letter explaining your motivation for applying
2. Curriculum vitae, including education and experience
3. Copy of diploma(s)
After the application deadline, the authorised recruitment manager will select applicants for assessment based on the advice of the recruitment committee. All applicants will then be notified immediately as to whether their application has been forwarded for assessment by an expert assessment committee. Selected applicants will be informed of the composition of the committee, and each applicant will have the opportunity to comment on the part of the assessment that concerns him/her. You can read more about the recruitment process at http://employment.ku.dk
Deadline for applications: 22 December 2025.
For further information about the position or the process, please contact hr-ifsv@adm.ku.dk
The University of Copenhagen wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background.