The University of Oslo is Norway’s oldest and highest ranked educational and research institution, with 26 500 students and 7 200 employees. With its broad range of academic disciplines and internationally recognised research communities, UiO is an important contributor to society.
The Institute of Basic Medical Sciences overall objective is to promote basic medical knowledge in order to understand normal processes, provide insight into mechanisms that cause illness, and promote good health. The Institute is responsible for teaching in basic medical sciences for the programmes of professional study in medicine and the Master's programme in clinical nutrition. The Institute has more than 300 employees and is located in Domus Medica.
Job description
Applications are invited for a 3-year Researcher in Biostatistics to work on an ERC-funded project at the Oslo Centre for Biostatistics and Epidemiology (OCBE), Department of Biostatistics, University of Oslo (UiO).
We are seeking a highly motivated Research Fellow to conduct research in the field of evidence synthesis. The project will focus on the development of statistical methods for the synthesis of complex and heterogeneous data.
About the research group
The new research group “Knowledge and Data Synthesis” is part of the Oslo Centre for Biostatistics and Epidemiology (OCBE). OCBE is one of Europe's most active biostatistics groups with currently ca 75 researchers. OCBE is internationally recognized, with interests spanning a broad range of areas - including statistical machine learning, high-dimensional data and big data, computationally intensive inference for complex models, causal inference and survival models, measurement uncertainty, and research for clinical trials and observational studies - and numerous collaborations with leading bio-medical research groups internationally and in Norway. OCBE is also a key partner of the Norwegian Centre for Knowledge-driven Machine Learning “Integreat”.
More about the position
The position is for 3 years and is part of the ERC-funded project “KaLeIDO-CARE” that focuses on the development of a novel knowledge synthesis framework.
The successful candidate is expected to start on 1st September 2026.
Qualification requirements and personal skills
Applicants must hold a PhD or equivalent in a quantitative discipline such as statistics/biostatistics, data science, mathematics, physics or similar (with strong experience in statistical methods)
Fluent oral and written communication skills in English
Good programming skills in R, Python, or similar are essential.
Experience with machine learning methods would be an advantage
Previous experience with meta-analysis is desirable but not essential.
Previous experience with analysis of medical data is desirable but not essential
Some supervision experience would be an advantage
We offer
salary NOK 620 000 – 685 000 NOK per annum depending on qualifications in a position as Researcher, (position code 1109). For exceptionally well-qualified applicants, a higher salary may be considered
opportunities for national and international collaborations
a friendly, ambitious and international working environment
attractive welfare benefits and a generous pension agreement, in addition to Oslo’s family-friendly environment with its rich opportunities for culture and outdoor activities
How to apply
The application must include
cover letter with statement of motivation and research interests
CV
Complete list of publications
copy of PhD degree
List of 2-3 references (name, relation to candidate, e-mail and phone number)
The application with attachments must be delivered in our electronic recruiting system, please follow the link: “Apply for this job”. Please note that all documents should be in English. Applications through email cannot be accepted.
When evaluating the applications, emphasis will be given to the applicants’ academic, professional, and personal prerequisites to carry out the project.
Deadline for applications: 30 April 2026
Formal regulations
According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.
The appointment may be shortened/given a more limited scope within the framework of the applicable guidelines on account of any previous employment in academic positions.
The University of Oslo has an agreement for all employees, aiming to secure rights to research results etc.
