Senior Researcher/Engineer: AI for biomolecular modelling and simulation

Research Sciences IC4 - The typical base pay range for this role across United Kingdom is £ 74,700.00 - £ 122,600.00 per year. Certain roles may be eligible for benefits and other compensation.

Research Sciences IC4 - The typical base pay range for this role across Germany is € 90,100.00 - € 152,500.00 per year. Certain roles may be eligible for benefits and other compensation.

Research Sciences IC4 - The typical base pay range for this role across Netherlands is € 78,800.00 - € 133,300.00 per year. Certain roles may be eligible for benefits and other compensation.

The Human Genome Project made human protein sequences accessible at scale; AlphaFold did the same for structure prediction. But our understanding biomolecular function is still in its infancy, limiting our ability to develop safe, effective medicines.

Our aim is to solve biomolecular function at scale. To do so, we develop AI emulators that model how biomolecules change structure and form complexes, how they interact with drug molecules and nucleic acids, how they change over time and catalyze reactions. Our vision is to simulate molecular processes from the ground up, with quantum chemical accuracy, and using AI to generate orders-of-magnitude higher throughputs than traditional simulation or experimentation. Some of our recent models include BioEmu1, BioEmu2, RetroChimera and Skala.

We invite you to join us on this mission. We are seeking candidates with backgrounds in Machine Learning, Computational Chemistry, Physics or Biology. You will be working in a highly dynamic and interdisciplinary team, developing models, algorithms and helping to orchestrate large-scale data generation campaigns and training runs. If you are passionate about this research area and believe you can make a lasting impact, we would love to receive your application.

This post will be open until the position is filled. When submitting your application, include your CV with a list of publications and other scientific or engineering contributions such as references to developed software.

• 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.
• Working on a day-to-day basis with an international and interdisciplinary research team on one overarching research goal.
• Being fully committed to one research project that may take several years to come to fruition and prioritizing team success over individual research interests.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.