Computational Scientist I/II, Soft Matter Formulations - Solids and Melts
Lila SciencesAI & company
Cambridge, United States$118,800 - $187,000Mid
Nvidia
Braidwell LP
Collective Global
Flagship Pioneering
Data & AI
About the role
TL;DR
Develop ML models for polymeric and soft material systems.
- •Develop models, tools, and workflows that accelerate discovery across polymeric and soft material systems.
- •Key Responsibilities Develop machine learning models for polymers, elastomers, gels, hot-melts, adhesives, composites, powders, films, semi-solids, and crystalline or amorphous solids.
- •Define modeling targets for mechanical performance, thermal transitions and processing windows, and processing-sensitive material responses.
- •Build representations that connect formulation variables, processing history, morphology, crystallinity, cross-link density, cure kinetics, and end-use properties.
- •Requirements Experience applying machine learning to scientific, materials-focused, polymer, soft matter, or formulation problems.
- •Domain expertise in polymer science, elastomers, gels, adhesives, composites, rheology, solid materials, complex fluids, or related fields.
- •Strong Python skills and experience with modern ML frameworks.
Required skills
Python
Benefits & perks
Competitive base compensation, Bonus potential, Equity, Medical, dental, and vision coverage, Employer-paid life and disability insurance, Flexible time off, Paid parental leave, Educational assistance program, Commuter benefits, Company subsidized lunch program
Tech stack
Python
