# Research Scientist, Soft Matter Simulations at Lila Sciences

- Company: Lila Sciences
- Status: Open
- Workplace: On-site
- Location: Cambridge, MA USA; San Francisco, CA USA
- Level: Mid-level
- Discipline: AI & ML
- Employment: Full-time
- Salary: $176K–304K
- Posted: 2026-11-10
- Skills: AI, Simulation, Molecular Modeling
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4465081009

## Description

Your Impact at LILA 
 Your role will involve applying soft matter physics and molecular simulation expertise to accelerate the discovery, optimization, and understanding of complex soft matter systems. You will use coarse-grained and atomistic modeling, mesoscale simulation, analytical theory, and agentic AI systems to investigate polymers, colloids, surfactants, gels, liquid crystals, and formulated fluid systems with direct relevance to commercial applications.
 You will work at the intersection of physics-based simulation, AI/ML, and autonomous scientific workflows. The focus is on using computational insight to identify promising formulations and material compositions, explain structure-property relationships, guide optimization campaigns, and help agents reason over simulation and experimental data in scientifically grounded ways. Desired simulation expertise covers atomistic and coarse-grained molecular dynamics, mesoscale approaches such as dissipative particle dynamics, Monte Carlo sampling, and analytical theory including self-consistent field theory, field theoretic simulation, and liquid state theory.
 This is a hands-on research role for someone who can connect deep soft matter and molecular simulation expertise with software development and practical scientific impact. You will collaborate with computational scientists, AI researchers, software engineers, and experimental teams to turn simulations, models, and scientific reasoning into robust software, agentic frameworks, and closed-loop scientific workflows.
 What You'll Be Building 
• Implement, extend, and d

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