Research Scientist, Soft Matter Simulations

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.

• Implement, extend, and deploy atomistic, coarse-grained, and mesoscale simulation capabilities for soft matter systems, including MD, DPD, SCFT, Monte Carlo, and liquid state theory
• Engineer simulation software with modern scientific libraries, emphasizing testing, modularity, and reproducibility at scale on HPC and cloud infrastructure
• Translate simulation outputs into descriptors and datasets for ML models, and build predictive models to guide formulation selection and optimization
• Develop and deploy agentic AI systems that leverage simulation capabilities for autonomous scientific discovery and closed-loop experimentation
• Communicate physical insights, model limitations, and recommendations to computational, ML, and experimental collaborators

• PhD in chemical engineering, physics, materials science, chemistry, or a related field (or master's with equivalent experience)
• Strong background in soft matter physics covering polymers, colloids, surfactants, gels, or liquid crystals, with hands-on expertise in atomistic and coarse-grained MD
• Working knowledge of at least two of: DPD or other mesoscale methods, Monte Carlo, SCFT, field theoretic simulation, or liquid state theory
• Strong Python scientific software development skills; fluency with modern practices including version control, testing, code review, and packaging
• Experience running and automating simulations at scale on HPC or cloud, and integrating computational predictions into experimental or closed-loop optimization workflows
• Good familiarity with agentic AI systems, autonomous scientific workflows, or simulation-aware agents

• Experience with a compiled language (C++, Rust, or Fortran) for performance-critical simulation code, or GPU acceleration via JAX or PyTorch
• Contributions to open source simulation packages such as LAMMPS, HOOMD-blue, GROMACS, or OpenMM
• Experience developing ML potentials or applying AI/ML to soft matter simulation data and molecular property prediction
• Experience building agents that reason over or orchestrate simulation workflows, or coupling simulation to active learning and Bayesian optimization pipelines
• Publication record in soft matter theory and simulation

Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.

Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.