Group Leader in Computational Biology for Translational Omics

Universitetet I Oslo

Oslo

On-site

NOK 755,962 - 822,090

Full time

14 days+
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Benefits offered by this job

Competitive start-up funding
Adjunct (20%) affiliation
EMBL-style nine-year appointment

Job summary

The University of Oslo's NCMBM invites applications for an early-career Group Leader to lead independent, cutting-edge research at the interface of molecular medicine and biosciences. The role emphasizes computational methods to uncover molecular mechanisms of health and disease, with strong translational potential.

We welcome candidates applying integrative analyses of single-cell or spatial omics data, AI/ML, or novel computational methods, embedded in a vibrant academic‑clinical environment

Qualifications

  • Demonstrated record in developing and applying cutting-edge computational approaches to health and disease.
  • Experience leading independent research programmes at the interface of molecular medicine and biosciences.
  • Strong publication and translational potential with interdisciplinary collaborations.

Responsibilities

  • Lead and develop an independent, translational research programme.
  • Apply integrative analysis of single-cell/spatial omics, imaging, and AI-driven approaches to biological questions.
  • Foster collaborations within UiO, hospital partners, and Nordic EMBL members.
  • Mentor junior researchers and secure start-up funding and resources.

Skills

Computational biology
Single‑cell analysis
Spatial omics
AI/ML methods
Mathematical modelling

Education

PhD in bioinformatics or related field

Job description

The University of Oslo's NCMBM invites applications for an early-career Group Leader to lead independent, cutting-edge research at the interface of molecular medicine and biosciences. The role emphasizes computational methods to uncover molecular mechanisms of health and disease, with strong translational potential.

We welcome candidates applying integrative analyses of single-cell or spatial omics data, AI/ML, or novel computational methods, embedded in a vibrant academic‑clinical environment

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