Research Scientist

Job Summary

At the Ellison Institute of Technology (EIT), we’re on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, policy makers, and entrepreneurs to tackle humanity’s greatest challenges.

We are looking for visionary Research Scientists in the Molecular Simulations and Design team who balance machine learning innovation with a mission-driven bias toward execution.

Molecular Simulations and Design accelerates the design of biomolecules, with an initial focus on enzymes, by combining generative models, physical simulation, and learning from experimental data. You will push the frontier where these three meet. You will have the unique opportunity to translate your research innovations directly to experimental campaigns with a rapidly accelerating feedback cycle. We are particularly excited about physics-based methods working together with generative models to lead to generalizable and robust predictions of experimental outcomes and designs.

• Innovative research in new methodologies e.g.,: Boltzmann samplers, long-timestep molecular dynamics, machine learned interatomic potentials, generative models (including flow matching, diffusion). Full-stack research, from pre-training to fine-tuning to design-build-test loops.
• Key Challenge: Predictive simulation-based workflows, accelerated by machine learning. Merging physics and machine learning for robust generalization. Robust evaluations that translate to downstream impact on campaigns. Research innovations that go beyond performance on evals and have measurable acceleration of experimental campaigns.

• Ideal Background: PhD in a relevant field with a track record of excellence at the intersection of machine learning, biomolecules and simulations. Expertise building simulation-based pipelines to predict experimental outcomes and using machine learning to accelerate those pipelines. Experience with production grade pipelines for small molecules, biomolecules design and simulations. Agentic engineering skills and ability to build and validate end-to-end machine learning pipelines and in-silico design-build-test loops. Ability to ship at a high velocity.