Protein Design and Biophysics Specialist - DTU Bioengineering
On-site · Kongens Lyngby, Capital Region, Denmark
Job Summary
Design and engineer AI-guided protein binders using computational and experimental workflows; develop Python pipelines for automated modeling, in silico screening, and data analysis; perform molecular biology procedures including cloning and mutagenesis; express protein binders using cell-free expression systems and purify proteins; carry out biophysical characterization of binding interactions using FIDA and related techniques including fluorescent labeling; contribute to semi-high-throughput experimental workflows integrated with an autonomous platform; collaborate closely with Novo Nordisk on the Closed-Loop initiative; role spans both computational design and wet-lab validation within a cutting-edge AI-driven protein science environment.
Required Qualifications
- PhD in biochemistry, biophysics, biotechnology, or a closely related field
- Strong background in protein biochemistry and biophysics with experience in protein expression, purification, and characterization
- Practical experience with protein AI models for structure prediction and/or binder design (e.g., AlphaFold, ProteinMPNN, RFdiffusion, or equivalent)
- Proficiency in Python scripting for automation of computational analyses and data pipelines
- Hands-on experience with molecular biology techniques, including cloning and mutagenesis
- Experience with biophysical methods for quantification of protein-protein binding interactions
- Familiarity with cell-free expression systems and/or affinity purification methods
- Desirable qualifications: Direct experience with FIDA or other solution-based binding assays, and with protein fluorescent labeling; experience with semi-high-throughput experimental setups and laboratory automation; MD simulations or other computational analyses of protein structure and dynamics; interdisciplinary collaboration with industry partners
- Capacity and interest for mechanistic, biophysics-driven interpretation of data
- Experience working in interdisciplinary and collaborative project settings, ideally with industrial partners
Apply with one swipe on Sorce. We auto-fill applications and apply on your behalf — no cover letters, no 40-minute forms.
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.