Protein Design Data Scientist — Computation & ML

KU - SCIENCE BIO - BRIC; København; On-site; DKK 750,000 - 1,100,000; Full time

Job summary

Novo Nordisk Foundation Center for Protein Design at the University of Copenhagen seeks an experienced computational and data scientist to support research infrastructure and data-driven protein design projects. You will join a growing, multidisciplinary team and help integrate computational pipelines with experimental studies, enabling scalable data-driven protein design across CPD projects.

The role emphasises collaboration with CPD researchers, development of predictive models, and training

Qualifications

• PhD in bioinformatics, data science or a related domain
• Excellent knowledge of scientific computing and coding, e.g., Python
• Experience with ML/AI methods and data analysis in biomolecular contexts
• Ability to establish computational infrastructure for large-scale data

Responsibilities

• Help develop research infrastructure and computational tools for CPD
• Build automated pipelines converting instrument outputs into analysable data
• Create databases of designed proteins and associated data (sequences, models, biophysical data)
• Develop predictive models using gathered data and ML methods
• Manage data governance plans in coordination with host departments
• Serve as technical liaison between CPD and KU IT for computing environments
• Contribute to grant applications and publications generated by CPD
• Teach CPD Master’s and PhD courses on data and computational topics
• Collaborate across CPD and external partners to advance protein design research

Skills

Python coding

Machine learning

Data management

Protein design knowledge

Collaborative teamwork

Education

PhD in bioinformatics or computational biology

Job description

Novo Nordisk Foundation Center for Protein Design at the University of Copenhagen seeks an experienced computational and data scientist to support research infrastructure and data-driven protein design projects. You will join a growing, multidisciplinary team and help integrate computational pipelines with experimental studies, enabling scalable data-driven protein design across CPD projects.

The role emphasises collaboration with CPD researchers, development of predictive models, and training