Platform Scientist, Soft Materials
$108,000–$150,000 year
On-site · Cambridge, Massachusetts, United States
Job Summary
Platform Scientist, Soft Materials role focused on ideating, prototyping, and transferring experimental concepts for AI-driven discovery in soft/complex materials (polymers, gels, colloids) across structure–property relationships and performance. Responsibilities include collaborating with chemistry, materials, and AI teams to design and validate characterization workflows (SAXS, SANS, rheology), prototyping custom apparatus and software tools, developing production-ready workflows for autonomous experimentation, and translating prototypes into scalable systems within Lila’s AI Science Factory platform. Key skills include hands-on SAXS/SANS/rheology/formulation assays, designing custom experimental workflows and software, programming (Python/C++), and strong communication in a fast-paced, exploratory R&D environment.
Required Qualifications
- MS or PhD in Materials Science, Chemistry, Chemical Engineering, Physics, or a related field, with a focus on soft or complex materials
- Demonstrated experience collaborating across scientific disciplines to generate and refine experimental concepts
- Hands-on experience with SAXS, SANS, rheology, formulation performance or functional assays
- Experience designing and implementing custom experimental workflows and/or scientific software
- Strong programming skills (e.g., Python, C++, or similar) applied to data analysis, automation, or experiment control
- Excellent communication skills and comfort operating in a fast-paced, exploratory R&D environment
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