Academic Staff Member in Health Data Research
Role highlights
Full Time
Permanent
Entry
On-site
This academic staff position in Health Data Research at the University of Copenhagen requires a candidate currently studying bioinformatics or bioscience with documented experience in supporting researchers, developing AI models, and data cleaning. The role involves working within an interdisciplinary and international research group focused on disease-relevant computational analyses integrating molecular and clinical data. Key technical skills include coding proficiency and the ability to develop artificial intelligence models for applications such as patient stratification, disease mechanism exploration, and risk estimation, particularly in the context of EU research projects like UNCAN-Connect. Candidates must demonstrate strong teamwork and networking skills to effectively collaborate across disciplines and international teams. Fluency in Danish or English is required to communicate within the dynamic academic environment. The position offers access to advanced computational resources, including supercomputers and state-of-the-art data science facilities, supporting high-level research activities. Responsibilities also include active participation in group activities and assisting researchers with data-related tasks. The role is a fixed-term, part-time academic appointment at the bachelor level, emphasizing practical research support and AI model development within health data science. Overall, the candidate should combine foundational bioinformatics knowledge, programming capabilities, and experience in data preprocessing and AI application in biomedical research settings, complemented by strong interpersonal and collaborative skills in a multicultural academic environment.
About the role
- 15-hour fixed-term position (1 February to 30 June 2026) as academic staff member (TAP-FU, bachelor level)
- Section for Health Data Science and AI, Department of Public Health, University of Copenhagen
- Work with research group focused on disease-relevant computer analysis across molecular and clinical data
- Involvement in EU projects, especially UNCAN-Connect, on disease mechanisms, patient stratification, and risk estimation
- Dynamic, interdisciplinary, and international environment
Responsibilities
- Support researchers in their work
- Develop AI models
- Clean data in international research projects
- Collaborate on cross-disciplinary and international tasks
- Actively participate in group activities
Requirements
- Studying bioinformatics or bioscience
- Knowledge of coding
- Fluency in Danish or English
- Documented experience supporting researchers, developing AI models, and data cleaning
- Strong networking and teamwork skills preferred
Place of Work
- Section for Health Data Science and AI, University of Copenhagen
- Kommunehospitalet, Øster Farimagsgade 5, 1353 Copenhagen K
- Access to supercomputer resources and state-of-the-art data science facilities
Salary and Benefits
- Employment per collective agreement between Danish Ministry of Taxation and AC
- Monthly salary based on seniority, with possibility to negotiate supplement
- Employer pays additional 18.07% to pension fund
- International researchers may obtain pension exemption (pension paid as salary)
- More information: Pension Schemes
How to Apply
- Submit the following documents:
- Cover letter explaining motivation
- Curriculum vitae (education and experience)
- Copy of diploma(s)
- Application deadline: 22 December 2025
- Recruitment process details: employment.ku.dk
- For questions, contact: [email protected]
- Please mention in your application that you found the job at Jobindex
Additional Information
- The University of Copenhagen welcomes applications from all qualified candidates regardless of personal background
- Section led by Professor Søren Brunak
- More about the section: ifsv.ku.dk
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