Computational Scientist I/II, Soft Matter Formulations - Solids and Melts
Core
Develop machine learning models, tools, and workflows to accelerate discovery in polymeric and soft material systems, specifically solids and viscoelastic materials.
Role type
Senior IC computational scientist (materials science & ML)
Builds
Production ML models for structure-property relationships, active learning workflows, and data interpretation tools for formulation development.
Domain
Materials science, polymer physics, soft matter, formulation science
Deliverable
production ML models
Required skills
Machine learning, Python, polymer science, soft matter physics, rheology, formulation science, active learning, simulation integration, molecular/polymer descriptors
Preferred skills
Experimental data handling for polymers/gels/adhesives, cure/processing-aware modeling, mechanistic priors in ML, high-throughput experimentation loop
Technologies
Python, modern ML frameworks, simulation tools
Responsibilities
Develop structure-property models for solid and viscoelastic materials; Build representations connecting formulation, processing, and morphology; Create active learning workflows aligned with physical workcell throughput; Partner with experimental teams to align models with measurement workflows; Communicate model behavior and recommendations to cross-functional collaborators.
Seniority
Mid-to-Senior, hands-on IC
