Senior Researcher/Engineer: AI for biomolecular modelling and simulation
Core
Drive a high-impact research agenda on machine learning in molecular sciences, integrating data from simulations and experiments to develop novel theoretical and practical insights.
Role type
Senior Researcher/Engineer (AI for biomolecular modelling)
Builds
Novel deep learning architectures and methods for molecular dynamics and statistical mechanics
Domain
Computational chemistry, bioinformatics, biophysics, molecular simulation
Deliverable
production ML models
Required skills
Python software development (object-oriented), deep learning systems (PyTorch/JAX), agentic software design, molecular modelling/simulation, generative model development (diffusion/flow-models), computational statistics, method development for molecular dynamics
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 optimizing novel deep learning architectures
Technologies
Python, PyTorch, JAX
Responsibilities
Develop strategies for integrating large-scale heterogeneous model data from molecular simulation and laboratory experiments, write research code to test new approaches, prepare technical papers and presentations, work with an international interdisciplinary research team on an overarching research goal
Seniority
Senior, hands-on IC
