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University of Oslo’s Department of Clinical Molecular Biology (EpiGen) invites applications for a Postdoctoral Research Fellow in Bioinformatics and Computational Biology at Campus Ahus, Lørenskog. The project develops a biophysically interpretable ML framework integrating TF–DNA interactions, epigenomic features, and 3D genome data to identify regulatory interactions in cancer.
The successful candidate will join an interdisciplinary team and contribute to high-impact publications and
We invite applications for a Postdoctoral Research Fellow position in Bioinformatics and Computational Biology at the Department of Clinical Molecular Biology (EpiGen), Campus Ahus, University of Oslo.
The preferred starting date is as soon as possible.
The appointment is for a period of three years. In accordance with University of Oslo regulations, no individual may be appointed to more than one Postdoctoral Research Fellowship period at the University.
The position is based at the Department of Clinical Molecular Biology (EpiGen) at the University of Oslo, Campus Ahus, Lørenskog. EpiGen is a joint research unit established by the University of Oslo (UiO) and Akershus University Hospital (Ahus). The department is actively involved in several major national research initiatives and offers an outstanding research environment with state-of-the-art laboratories, advanced computational infrastructure, and dedicated research facilities. The position is funded by the Research Council of Norway.
The successful candidate will join an interdisciplinary research team comprising molecular biologists, bioinformaticians, physicists, and pathologists. The project aims to develop a biophysically interpretable machine learning framework that integrates diverse biological data—including transcription factor (TF)–DNA interactions, epigenomic features, and three-dimensional (3D) genome organization—to identify functional long-range gene regulatory interactions in cancer. The postdoctoral researcher will collaborate closely with students, PhD candidates, researchers, and national and international partners. The work is expected to result in high-quality scientific publications as well as broadly applicable computational resources, such as open-source software and bioinformatics tools.
We seek a highly motivated and ambitious researcher with a strong background in molecular biology, human genetics/genomics, bioinformatics, machine learning, data mining, and computational programming, including software or package development. The ideal candidate will hold a PhD in bioinformatics or computational biology. Applicants with a PhD in related disciplines, such as computer science, physics, applied mathematics, statistics, or a closely related quantitative field, are also encouraged to apply, provided they demonstrate a strong interest in and commitment to applying computational methods to molecular biology and human genetics/genomics.
The project aims to develop novel computational methods and tools for predicting functional non-coding mutations in the cancer genome. These methods will integrate diverse sources of biological information, including the biophysical principles governing protein–DNA interactions, the genetic and epigenetic features of DNA sequences, and the three-dimensional (3D) organization of the genome and its regulatory landscape. A particular emphasis will be placed on integrating multi-omics data generated from single-cell experiments to enhance both predictive accuracy and biological interpretability.
The Postdoctoral Research Fellow will primarily focus on developing a biophysically interpretable machine learning framework that integrates multiple layers of biological information, including transcription factor (TF)–DNA interactions, epigenetic features, and 3D genome organization, to identify functional long-range gene regulatory interactions from in vivo data. The candidate will also be involved in the validation of predictions from cancer genomes.
Throughout the fellowship, the Postdoctoral Research Fellow will be supported by a structured career development plan. This may include opportunities to teach and supervise bioinformatics students, present research at international conferences, and undertake research visits to leading international laboratories. The fellowship is designed to equip the candidate with the scientific expertise, professional skills, and international research experience needed to pursue a competitive research career within or beyond academia. The University of Oslo (UiO) is committed to supporting the Fellow's career development by providing ongoing mentoring and access to career guidance throughout the postdoctoral appointment.
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You must have
To be appointed as a postdoctoral fellow, a doctoral degree is required.
Good communication skills and openness to new perspectives
Desired qualifications
Experience with ChIP-seq, ATAC-seq/scATAC-seq, RNA-seq/scRNA-seq, WGS, WGBS, or Hi-C data analysis
Experience in computational genome studies (e.g., TF-DNA interactions, gene networks, DNA mutations, and histone modifications).
Experience with integrated multi-omics data analysis and software/package tool development
Employment in the position is based on a comprehensive assessment of all qualification requirements applicable to the position, including personal qualifications.
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 provide appropriate accommodations should you need them. Relevant adjustments may include modifications to working hours, task adaptations, digital, technical, or physical adjustments, or other practical measures.
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).
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More information about gender equality initiatives at UiO can be found here.
Contact person:
For further information, please contact:
Junbai Wang
junbai.wang@medisin.uio.no
Place of service:
Department of Clinical Molecular Biology (EpiGen)
University of Oslo, Ahus campus
1748 Lørenskog
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The University of Oslo is Norway’s oldest and highest ranked educational and research institution, with 26 500students and 7 200employees. 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.