Vacancy

Helse Sør-øst RHF

Researcher/Researcher without a doctorate in Breast Cancer Risk and Genetic Interactions

Offentlig forvaltning

We are seeking an ambitious researcher to join the Cancer Genome Variation group at the Oslo University Hospital. The position will be associated with the research group ''Cancer Genome Variation'', and will be working on the pink ribbon funded research project “Towards Precision Approaches in Breast Cancer: Decoding Germline and Somatic Interactions “. The position is for 3 years, from 1st of August 2026. Start date is negotiable. 

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:

Required qualifications: 

  • A PhD in medical genetics, cancer biology, bioinformatics, or a related field is preferred. Highly motivated and skilled candidates without a PhD will also be considered.
  • Documented experience in quantitative research and the analysis of large-scale, complex datasets.
  • Strong statistical proficiency and hands-on experience with statistical programming languages, preferably R or Python.
  • Excellent oral and written English communication skills.

Experience in the following topics will be considered an advantage:

  • Familiarity with, or interest in, machine learning or deep-learning frameworks applied to biological sequence data and/or regulatory genomics.
  • Previous experience with, or a solid theoretical understanding of, the construction and validation of Polygenic Risk Scores and risk stratification models.
  • Experience with transcriptomics, proteomics (Olink/mass spectrometry), copy number variation and epigenomics will be considered an advantage.

Personlige egenskaper:

The right candidate :

  • Is a highly motivated and dynamic person.
  • Is well organized with creative thinking.
  • Has high intrinsic motivation and scientific curiosity.
  • Has the ability to present and execute novel ideas.
  • Is a team player who can work independently in a multidisciplinary and international team.

Vi tilbyr:

  • A full-time contract. A 6-month trial period will be applied.
  • Salary in agreement with the current collective agreement, and qualifications/experience.
  • Favourable pension arrangements.
  • Possibility for extending the contract if funds are available.
  • A stimulating (international, multidisciplinary) research environment where quality, professionalism and team spirit are encouraged.
  • The possibility of working on scientifically exceptional and high impact, state-of-the-art projects.
  • A productive and motivating research environment.
  • Attractive welfare arrangements.

How to apply

  • Applications only through "Webcruiter" are accepted.
  • In the application letter, please include a summary of scientific work and interest.
  • CV and 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. 

Links

Cancer genome variation: https://ous-research.no/kristensen/

Life Science building: https://www.uio.no/english/research/strategic-research-areas/life-science/about/building/