The Molecular Intelligence team builds ML and physics-based infrastructure for drug discovery: biophysics workflows, computational chemistry tools, cofolding models, low-data learning systems, simulation workflows, and agent-usable scientific pipelines. You'll build the provenance system that connects every scientific input, code version, model, run, and result produced across Lila's simulation, ML, and agent-driven workflows - so a scientist can find a result months later, trace exactly how it was produced, and reuse it without reconstructing it from logs.