Senior Researcher/Engineer: AI for Biomolecular Modelling and Simulation
Core
Develop machine learning strategies for molecular sciences by integrating large-scale heterogeneous data from simulations and experiments to drive a multi-year research agenda.
Role type
Senior Researcher/Engineer (AI for Biomolecular Modelling)
Builds
Novel theoretical and practical insights, technical papers, and research code for molecular simulation.
Domain
Molecular sciences, computational chemistry, bioinformatics, biophysics
Deliverable
research
Required skills
Python software development (object-oriented design), deep learning systems (PyTorch, JAX), molecular modelling and simulation, generative model development (diffusion, flow-models), method development for molecular dynamics and statistical mechanics, agentic software design and testing
Preferred skills
Published software projects, high-quality publications in leading venues, leadership in software development, experience in protein science, bioinformatics, biophysics, or computational chemistry, track-record of developing and optimizing novel deep learning architectures
Technologies
PyTorch, JAX
Responsibilities
Contribute to and drive an ambitious research agenda on machine learning in molecular sciences; Develop strategies for integrating large-scale heterogeneous model data from molecular simulation and laboratory experiments; Write research code to test new approaches or develop novel theoretical and practical insights; Prepare technical papers and presentations; Work on a day-to-day basis with an international and interdisciplinary research team on one overarching research goal.
Seniority
Senior, hands-on IC
