Postdoctoral Research Fellowship in Multi-Omics at Centre for Precision Psychiatry
Deadline: 01.06.2026
Publisert
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 Clinical Medicine (Klinmed) is one of three institutes under the Faculty. Klinmed is responsible for the Faculty's educational and research activities at Oslo University Hospital and Akershus University Hospital. With about 900 employees spread over approximately 425 man-labour years, Klinmed is the university's largest institute. Our activities follow the clinical activity at the hospitals and are spread across a number of geographical areas.
About the position
At the Centre for Precision Psychiatry, Institute of Clinical Medicine, University of Oslo, a full-time 3-year Postdoctoral Research Fellowship is available within the Novo Nordisk funded project “MetaBrain: Metabolic Dysfunction Underlying Abnormal Brain Ageing - A Nordic Health Data AI Collaboration”.
The position offers an exciting opportunity for a highly motivated researcher to work at the interface of multi-omics, brain imaging, genetics, and artificial intelligence, contributing to a large-scale Nordic collaboration aimed at understanding how midlife metabolic dysfunction drives accelerated brain ageing and cognitive decline.
The MetaBrain project aims to uncover the molecular mechanisms linking midlife metabolic health to later-life brain and cognitive ageing, and to translate these insights into a novel explainable AI-driven predictive framework — the “Lifespan Avatar” — for personalized brain health trajectories. The project integrates multi-omics data (proteomics and metabolomics), longitudinal brain MRI, cognitive assessments, and health registry data from individuals across Norway, Sweden, Denmark, and Iceland.
The Centre for Precision Psychiatry has access to a rich and unique data infrastructure, including large databases of biomarkers, clinical and cognitive variables, genotyping and sequencing data, and MRI brain imaging data from patients with neuropsychiatric and severe mental disorders. In addition, the Centre actively collaborates with major international consortia, including the Psychiatric Genomics Consortium (PGC), the ENIGMA consortium, and the European Alzheimer’s Disease DNA BioBank (EADB). The research environment further benefits from access to data from a broad range of national and international studies, including Norwegian population cohorts (e.g., DemGene, HUSK, HUNT, Tromsø study, and MoBa), the UK Biobank, and the ABCD and ADNI studies.
The position is primarily focused on the development and application of statistical and machine learning methods for integrating large-scale multi-omics (metabolomics and proteomics), brain MRI, and genetic data from Nordic biobanks. The postdoctoral fellow will contribute to one of four integrated work packages: (1) charting longitudinal trajectories of metabolic dysfunction and brain ageing; (2) identifying causal genetic and environmental pathways using Mendelian randomization; (3) developing the AI-driven “Lifespan Avatar” predictive framework; or (4) validating models across Nordic and international cohorts.
The successful candidate will work closely with an interdisciplinary research environment including statisticians, geneticists, clinicians, and data scientists, and will conduct research using state-of-the-art secure infrastructure, including the TSD platform at the University of Oslo. This postdoctoral fellowship is intended to strengthen the candidate’s scientific independence and publication record, and to provide strong qualifications for future academic or research leadership positions within precision medicine, population health, and data-driven neuroscience. For more information please look here
Main responsibilities
Main responsibilities
Analyze and integrate large-scale multi-omics data (NMR-based metabolomics and affinity-based proteomics) from Nordic biobank cohorts, applying advanced statistical and machine learning methods
Develop and validate longitudinal models of metabolic and brain ageing trajectories using in-house tools such as FEMA-LONG, and contribute to open-source analytical pipelines
Apply Mendelian randomization and genetic correlation analyses (e.g., MiXeR, conjFDR) to investigate causal links between metabolic dysfunction and brain and cognitive ageing outcomes
Contribute to the development of the explainable AI “Lifespan Avatar” predictive framework, including federated learning across Nordic data infrastructures (TSD, Tryggve)
Collaborate with an interdisciplinary team across Norway, Sweden, Denmark, and Iceland
Prepare and publish high-quality scientific manuscripts and present findings at national and international conferences
Qualifications
Required
A PhD in statistics, mathematics, informatics, genetics, medicine, psychology, or an equivalent field
Strong programming skills in Python, R, or MATLAB, with emphasis on data analysis and method development
Solid experience in statistical analysis and data processing using relevant statistical software
Experience with large-scale human datasets, including genomics, omics, and/or brain imaging data
Experience with tools and pipelines for genetic data analysis (e.g., PLINK, Regenie)
Excellent proficiency in written and spoken English Side 1 / 3 Side 2 / 3
Preferred
Experience with molecular quantitative trait loci studies, integrating NMR-based metabolomics or mass spectrometry, and/or affinity based proteomics data with genetic data
Experience with machine learning for large multimodal datasets and brain image analysis (e.g., FreeSurfer, FSL)
Experience with computational methods and workflows for handling large-scale multimodal data
Personal skills
Highly organized, self-driven, and goal-oriented, with strong productivity and attention to detail.
Excellent collaboration and communication skills, with a demonstrated ability to work effectively in multidisciplinary research teams.
Employment in the position is based on a comprehensive assessment of all qualification requirements applicable to the position, including personal qualifications.
We offer
Exciting and meaningful tasks in an organization with an important societal mission, contributing to knowledge development, education, and enlightenment that promote sustainable, fair, and knowledge-based societal development.
Opportunity of up to 1.5 hours a week of exercise during working hours.
A workplace with good development and career opportunities.
Membership in the Statens Pensjonskasse, which is one of Norway's best pension schemes with beneficial mortgages and good insurance schemes.
Salary in position as Postdoctoral Research Fellow, position code 1352, in salary range NOK 600 000 - 680 000, depending on competence and experience.
From the salary, 2 percent is deducted in statutory contributions to the State Pension Fund.
Read more about the benefits of working in the public sector at Employer Portal.
We need different perspectives in our work
UiO is an open and internationally oriented comprehensive university that strives to be an inclusive and diverse workplace and academic environment. You can read more about UiO’s work on equality, inclusion, and diversity at uio.no.
We fulfill our mission most effectively when we draw upon our variety of experiences, backgrounds, and perspectives. We are looking for great colleagues—could you be the next one?
We will do our best to accommodate your needs. Relevant adjustments may include modifications to working hours, task adaptations, digital, technical, or physical adjustments, or other practical measures.
SLETT HVIS UAKTUELT: Ved stilling med 40% og lavere andel underrepresentert kjønn: We especially encourage women/men/underrepresented genders to apply.
If you have an immigrant background, a disability, or CV gaps, we encourage you to indicate this in the job application portal. We always invite at least one qualified candidate from each group for an interview. In this context, disability is defined as an applicant who identifies as having a disability that requires workplace or employment-related accommodations. For more details about the requirements, please refer to the Employer portal (Norwegian).
The selections made in the job application portal are used for anonymized statistics that all state employers include in their annual reports.More information about gender equality initiatives at UiO can be found here.
We hope you will apply for the position with us.
Application
Your application should include:
Application letter
CV
A complete list of publications.
Transcripts and certificates.
Contact information for 2-3 references.
Application with attachments must be submitted via our recruitment system Jobbnorge, click "Apply for the position".
When applying for the position, we ask you to retrieve your education results from Vitnemålsportalen.no. If your education results are not available through Vitnemålsportalen, we ask you to upload copies of your transcripts or grades. Please note that all documentation must be in English or a Scandinavian language.
Contact information
Professor Ole Andreassen, phone +47 99038893, o.a.andreassen@medisin.uio.no
The best qualified candidates will invited for interviews.
Applicant lists can be published in accordance with Norwegian Freedom of Information Act § 25. When you apply for a position with us, your name will appear on the public applicant list. It is possible to request to be excluded from this list. You must justify why you want an exemption from publication and we will then decide whether we can grant your request. If we cannot, you will hear from us.
