Postdoc: Computational Brain-Targeted Peptide Design

Københavns Universitet; København; On-site; DKK 406,000 - 487,000; Full time

Job summary

Københavns Universitet seeks a computational postdoctoral researcher to join an interdisciplinary project on brain‑targeted stroke therapeutics, developing de novo peptide design workflows, performing molecular modelling and integrating omics data to create brain‑penetrant shuttles.

The role sits in the Data Science for Drug Design group at the University of Copenhagen, collaborating with pharmacology and neuroscience teams. Start 1 January 2027 for 2 years, with a competitive Danish salary.

Qualifications

• A PhD in computational chemistry, computational biology, bioinformatics, biophysics, data science or a related field.

Responsibilities

• Develop and optimize workflows for peptide design, sequence generation and modelling.
• Collaborate with experimental teams to guide peptide synthesis and biological evaluation.
• Apply structure- and sequence-based methods to generate and prioritise novel peptides.
• Present research findings in internal meetings and international conferences.

Skills

Python programming

Git/GitHub

Machine learning

Deep learning

Education

PhD in computational chemistry / computational biology / bioinformatics / biophysics / data science

Tools

KLIFS

Job description

Københavns Universitet seeks a computational postdoctoral researcher to join an interdisciplinary project on brain‑targeted stroke therapeutics, developing de novo peptide design workflows, performing molecular modelling and integrating omics data to create brain‑penetrant shuttles.

The role sits in the Data Science for Drug Design group at the University of Copenhagen, collaborating with pharmacology and neuroscience teams. Start 1 January 2027 for 2 years, with a competitive Danish salary.