Platform Scientist, Soft Materials
Core
Ideate, prototype, and transfer experimental concepts for AI Science Factories targeting complex soft material systems, translating concepts into scalable workflows and custom apparatus.
Role type
Platform Scientist (Soft Materials)
Builds
Custom experimental apparatus, software-enabled systems for autonomous research, and scalable workflows for structure–property relationships.
Domain
Materials Science / Soft Materials / AI for Science
Deliverable
production ML models | product features | infrastructure
Required skills
Soft materials expertise (formulations, colloids, polymers, gels), SAXS/SANS/rheology, custom experimental workflow design, scientific software development, Python/C++ programming
Preferred skills
Lab automation, high-throughput experimentation, formulation science background, predictive/ML-driven modeling, prototyping tools (3D printing, microfluidics)
Responsibilities
Collaborate with chemistry/AI teams to define new experimental approaches; Lead conceptual development of characterization workflows; Design and validate custom apparatus and software tools; Develop workflows connecting structure, dynamics, and performance; Transfer prototypes into production-ready systems.
Seniority
Mid-Senior, hands-on IC