Research Scientist, Soft Matter Simulations
Lila Sciences · Cambridge, MA USA · San Francisco, CA USA · Alewife, Cambridge, MA
Bio & Science AIonsite$176k–$304k
At a glance
Highlights
- Guide formulation optimization and explain structure-property relationships.
- Build agentic AI systems for autonomous discovery and closed-loop experimentation.
- Investigate polymers, colloids, gels and formulated fluids for commercial impact.
What they offer
- Bonus potential
- Generous early-stage equity
- Comprehensive benefits program
Ideal candidate
PhD-level soft matter physicist who loves hands-on modeling and building robust software. You thrive at the physics-AI interface and want your insights to guide real experiments and products.
Requirements
- PhD in chemical engineering, physics, materials science, chemistry or related field
- Strong background in soft matter physics covering polymers, colloids, surfactants, gels or liquid crystals
- Hands-on expertise in atomistic and coarse-grained molecular dynamics
- Working knowledge of at least two of DPD, Monte Carlo, SCFT, field theoretic simulation or liquid state theory
- Strong Python scientific software development skills with testing, version control and packaging
- Experience running and automating simulations at scale on HPC or cloud
- Familiarity with agentic AI systems and closed-loop optimization workflows
Lab profile
About Lila Sciences
Building an autonomous science platform where AI, automation, and biology co-evolve for medicine and materials.
What they build
- Autonomous Science Platform
- AI-designed biologics validated in wet-lab
- Electro-optic materials and photonic devices
Known for
- Large-scale automated data generation
- High-throughput protein purification and analytics
- Protein design and BioML modeling
- Robotic orchestration and lab simulation
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