Requirements

Experienced in Python software development with object-oriented design and basic deployment, ideally demonstrated by published software projects (e.g., GitHub).
Experienced in developing and implementing deep learning systems (e.g., in PyTorch or JAX) and agentic software design and testing.
Experienced in modeling or simulation of molecules, ideally biomolecules.
High-quality publications in leading disciplinary or interdisciplinary venues or demonstrated leadership in software development.

Nice to Haves

Experience with protein science, bioinformatics, biophysics, or computational chemistry.
Understanding of computational statistics and experience with generative model development (e.g., diffusion or flow-models).
Experience in method development for molecular dynamics and statistical mechanics.
Track record of developing and optimizing novel deep learning architectures.

Contribute to and drive a high-impact research agenda development on machine learning in the molecular sciences.
Develop strategies for integrating large-scale heterogeneous model data from molecular simulation and laboratory experiments and identifying untapped data sources.
Write research code to test new approaches or develop novel theoretical and practical insights.
Prepare technical papers and presentations.
Work daily with an international and interdisciplinary research team on one overarching research goal.
Be fully committed to one research project that may take several years to come to fruition, prioritizing team success over individual research interests.

Competitive base pay range depending on location: UK (£74,700 - £122,600), Germany (€90,100 - €152,500), Netherlands (€78,800 - €133,300).
Certain roles may be eligible for additional benefits and other compensation.
Equal opportunity employer supporting diverse backgrounds and providing reasonable accommodations during the application process.