PhD Student in Protein Engineering

Kongens Lyngby, Capital Region
Posted 1 month ago
Research and Development

About the role

Job summary

A PhD position is available for a 3-year term focused on engineering proteins that respond to environmental conditions, starting September 2026. The role involves developing antibodies and nanobodies with condition-dependent activity, integrating experimental and computational methods in a project funded by the Villum Foundation.

Qualifications

  • A 2-year M.Sc. degree in biotechnology, biochemistry, molecular biology, or protein science.
  • Strong experimental skills in molecular biology and/or protein science.
  • Excellent communication skills in English.
  • Ability to thrive in a collaborative research environment.
  • Project management and efficient work skills.
  • Strong record-keeping abilities for lab experiments.
  • Motivated, curious, and capable of independent scientific thinking.

Responsibilities

  • Conduct in vitro discovery and characterization of environment-sensing binding proteins targeting natural toxins.
  • Develop and optimize phage and yeast display workflows for antibody/nanobody discovery.
  • Analyze data using next-generation sequencing (NGS) and bioinformatics tools.
  • Perform biophysical characterization of binding interactions using techniques such as SPR, BLI, and FIDA.
  • Evaluate functional toxin binding under varying environmental conditions.
  • Integrate experimental data with computational modeling techniques.
  • Contribute to scientific publications and identify potential industrial applications.

Skills

  • Experience with phage or yeast display technologies, antibody or nanobody engineering, and protein expression/purification is beneficial.
  • Familiarity with biophysical characterization techniques, immunoassays, flow cytometry, and NGS data analysis.
  • Knowledge of molecular modeling, computational biology, and scripting (e.g., Python) is a plus.

Education

  • Applicants must hold a relevant 2-year M.Sc. degree (120 ECTS).

Tools

  • Techniques include SPR, BLI, ITC, ELISA/DELFIA, flow cytometry, NGS, and computational modeling tools.
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