Computational Researcher position in functional genomics and single-cell biology
Deadline: 31.07.2026
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.
Centre for Molecular Medicine Norway (NCMM) was established in 2008 and is the Norwegian node in the Nordic EMBL Partnership for Molecular Medicine. NCMM is a joint venture between the University of Oslo, Health Region South-East and the Research Council of Norway. From 2017 NCMM is merged with the Biotechnology Centre of Oslo and now has altogether 11 research groups. The overall objective of NCMM is to conduct cutting edge research in molecular medicine and biotechnology as well as facilitate translation of discoveries in basic medical research into clinical practice.
Job description
A one-year extendable computational researcher position (SKO 1109 or SKO 1108) is available in the group of Dr. Biswajyoti Sahu at the Norwegian Centre for Molecular Biosciences and Medicine (NCMBM, formerly NCMM). We are seeking a highly motivated and experienced individual in bioinformatics and computational biology. We offer a position in an ambitious, multi-disciplinary and well-resourced group that is comprised of both wet-lab and computational scientists. Our group investigates the interplay between transcription factors and oncogenic drivers using large scale single-cell omics including single-cell RNA-seq, multiOme-seq (RNA+ATAC) and spatial transcriptomics (Visium HD, Xenium) and spatial epigenomics. We utilize a wide range of cell-based models, organoid systems and patient material together with cutting-edge functional genomics approaches from ChIP-seq, CUT&RUN, massively parallel reporter assays and Hi-C to advanced CRISPR-based approaches for genome editing, single-cell perturbation for understanding the phenotypic plasticity in different cancer cell states. The main job description will be to perform advanced computational analysis of the single-cell omics data with emphasis on identification of transcription factors and their downstream signaling pathways to define gene regulatory networks, co-expression hotspots and enhancer states in identifying the cellular ecotypes and niches during cancer progression and chemoresistance.
Work tasks
The work tasks will generally include one or more of the following:
Main work task will be single cell-analysis of gene expression (scRNA-seq) together with chromatin accessibility analysis (scATAC-seq) using 10x Genomics and BD Rhapsody platforms
Spatial transcriptomics and spatial epigenomics analysis (e.g. Visium HD and Xenium platforms)
Computational analysis and integration of functional genomics datasets from other next-generation sequencing methods.
Supervision and teaching of students and other researchers in designing and conducting the computational analysis
Qualification requirements
A PhD degree for position code SKO 1109 and MSc degree for position code SKO 1108 in bioinformatics, computational biology or other relevant field of life sciences with experience in data sciences
For position code SKO 1109 (Researcher with PhD), successfully completed post-doctoral period with a strong publication record in peer-reviewed journals. Also, candidates with a fresh PhD with relevant experience can be considered.
Documented research experience in the following fields: single-cell analysis in genomics and/or cancer biology, functional genomics and/or epigenomics
Knowledge about relevant programming languages (Python, Perl, R) and biostatistics
Ability to work in high-performance computing environment with workflow systems (Nextflow, Snakemake), Docker etc.
Excellent written and oral communication skills in English
Ability and willingness to supervise and collaborate with students and researchers
Ability to work independently as well as operating as a team player in multi-disciplinary projects is a must. Prior experience in the following is considered a plus: analysis of high-throughput functional genomics datasets such as single-cell data and spatial transcriptomics data. Understanding of NGS library preps, single cell experiments and their limitations will be beneficial besides the knowledge of machine learning methods. A good understanding of biochemistry, genomics experiments and bioinformatics is expected. Candidates with proven track record in terms of publications and relevant work experience will be given preference.
We offer
Salary 595 000 - 650 000 NOK per annum for SKO (position code 1109) or 520 300 – 570 000 NOK per annum for SKO (position code 1108) depending on qualification and experience
An exciting project utilizing cutting-edge functional single-cell genomics methods to understand molecular basis of human cancer
A position in an ambitious, multi-disciplinary and well-resourced group that is comprised of both wet-lab and computational scientists
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.
For more information about our current research operations, see https://www.sahulab.org. The position is available immediately to start.
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.
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.
How to apply
The application must include:
Cover Letter stating motivation and research interests
A recent CV with a complete list of scientific publications
Copies of certificates and grades with explanation of the grading system
Two–three reference letters with contact details of the referees (name, relation to candidate, e-mail and telephone number
The application with attachments must be delivered in our electronic recruiting system. Foreign applicants are advised to attach an explanation of their University's grading system. Please note that all documents should be in English. It is important to check the eligibility and clearly specify the position you are applying for i.e SKO 1109 (with PhD degree) or SKO 1108 (with MSc degree) as per the qualification requirements. Incorrect or wrong applications will not be considered.
Interviews with the best qualified candidates will be arranged. Applications will be considered on a rolling basis till a suitable candidate is found.
General information
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.
