A 2-year position as postdoctoral researcher is available at the Department of Medical Genetics, Oslo University Hospital with start date 1. August 2025 at the earliest. The position will be associated with the ''Cancer Genome Variation'' and ”Cancer Biology in Silico” groups.

The position is funded by the Norwegian Research Council, through the project “Decoding the Cancer Stem Cell Niche in Triple-Negative” (Project 334328) where Chloé B. Steen is project leader. A summary of the project can be found here: Decoding the Cancer Stem Cell Niche in Triple-Negative Breast Cancer. 

The candidate will be part of the project group ''Cancer Biology in Silico'' led by Chloé B. Steen, with strong collaborations with researchers at Oslo University Hospital, University of Oslo, and Stanford University in California, USA. If of interest, the position may include a research stay abroad. 

The Department of Medical Genetics at Oslo University Hospital is Norway’s largest medical genetics department with over 200 employees. The department is responsible for diagnostics of rare and inherited diseases, and runs a national research infrastructure for high-throughput DNA sequencing at the Norwegian Consortium for Sequencing and Personalized Medicine (www.norseq.org). The research section in the department has 7 research groups (www.ous-research.no/meg/) working in various fields of medical genetics, including breast cancer, the genetics of autoimmune, neurological, cardiovascular and psychiatric disorders, epigenetics causes of disease, as well as groups focusing on bioinformatics. 

Oslo University Hospital is a workplace with great diversity. We believe this is crucial for solving our tasks in the best possible way. We want this diversity to be reflected among the applicants for our positions, and we encourage all qualified candidates, regardless of background, to apply!

Kvalifikasjoner:

Completed PhD in computational biology, bioinformatics, computer science, statistics or similar field.

Experience in the following topics is required:

• Proficiency in scripting language (Python or R) and maintaining code repositories
• In-depth bioinformatics experience working with genomics/transcriptomics data
• Experience in large scale data analysis, data visualization and data integration

Experience in the following topics will be considered an advantage:

• Analysis of transcriptomics data, in particular single cell data and/or spatial data
• Experience in method development
• Experience working on servers and/or in a HPC environment

Personal qualities

• We are looking for a researcher who is highly motivated, well organized and dynamic with a high level of independence and creative thinking
• Ability to present and execute novel ideas in method development, data analysis and interpretation
• Team player who can work independently in a multidisciplinary and international team
• Excellent oral and written English communication skills
• Proactive, flexible, and problem-solving attitude
• Experience in working with deadlines and being involved in multiple projects

Personlige egenskaper:

• A full-time contract for two years with possibility for extension, depending on the availability of funding. A 6 months trial period will be applied.
• Salary in agreement with the current collective agreement, and qualifications/experience.
• Favorable pension arrangements.
• A stimulating (international, multidisciplinary) research environment where quality, professionalism and team spirit are encouraged.
• The possibility to work on scientifically exceptional and high impact, state-of-the-art projects. 
• A productive and motivating research environment.
• Attractive welfare arrangements.
  

Vi tilbyr:

• Applications only through "Webcruiter" are accepted.
• The application letter (including a summary of scientific work and interest, and describing how those fit the project group).
• CV (summarizing education, positions and other qualifying activity).
• Copies of educational certificates with grades.
• Names, email and telephone number of 3 referees (describe relation to applicant).
• A complete list of publications, highlighting the candidate’s role in main publications relevant to the position.