LS
PythonSQLAWSKubernetes
LS
Active2mo ago
Research Engineer, Scientific Data & Workflow Infrastructure
Role overview
Job description
Your Impact at LILA Lila is building an operating system for science, powered by scientific superintelligence — generating hypotheses, designing and running experiments, and learning from new data in real time to speed up discovery in fields like therapeutics and advanced materials. 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. This role sits embedded with scientists, working closely with Lila’s platform teams on the storage, compute, and orchestration layers beneath it. 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 month
…About this listing
- Source: Lila Sciences's official careers site (via Greenhouse) · last confirmed on the source 27 Oct 2026
- Posted 3 Aug 2026
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What they are looking for
Skills & requirements
Qualification
Experience building tools for LLM agents or automated research workflows; If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply
Department · Physical Sciences AI
Hiring company
Lila Sciences
LILA has created the world's first Operating System for Science powered by Scientific Superintelligence™
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