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Battery Electrolyte Scientist – Materials Chemistry Leader
Job in
Woburn, Middlesex County, Massachusetts, 01813, USA
Listed on 2026-07-20
Listing for:
Jobtailor
Full Time
position Listed on 2026-07-20
Job specializations:
-
Research/Development
Research Scientist -
Engineering
Research Scientist, Materials Engineering
Job Description & How to Apply Below
Program Leadership
- Direct complex electrolyte R&D programs focused on next-generation battery systems, ensuring alignment with customer and product requirements (e.g., safety, cyclability, low/high temperature performance).
- Lead multi‑R&D teams composed of chemists, data scientists, and engineers to achieve key innovation milestones.
- Define the materials innovation roadmap, particularly related to electrolyte formulation and interfacial science.
- Oversee SEI (Solid Electrolyte Interphase) engineering and additive optimization programs, leveraging expertise in fundamental materials chemistry.
- Lead cell‑level validation and the integration of new electrolytes into prototype cells.
- Produce high‑quality, experimentally validated battery component data, guiding AI model training by ensuring data quality, experimental reproducibility, and comprehensive parameter space coverage (Data‑driven experimentation).
- Utilize molecular informatics tools to accelerate battery component optimization cycles, effectively bridging experimental data with AI‑generated candidates.
- Education:
Ph.D. in Materials Science and Engineering, Chemical Engineering, Electrochemistry, or a closely related materials chemistry field. - R&D Leadership:
Proven background as an electrochemical researcher and R&D leader experienced in directing technical programs and managing multi‑disciplinary research teams. - Core Chemistry Expertise:
Deep expertise in fundamental materials chemistry, interfacial science, additive optimization, and Solid‑Electrolyte Interphase (SEI) engineering. - Validation
Experience:
Extensive experience in cell‑level validation and advanced characterization techniques, demonstrating an ability to integrate new materials into prototype cells. - Data Focus:
Demonstrated experience in data‑driven experimentation and structuring chemistry data for AI model consumption.
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