• Design & Execute Synthesis: Lead the design and optimization of synthesis processes for advanced anode materials, bridging the gap between lab-scale discovery and production reality.
• Deep Data Analysis: Rigorously analyze complex battery cycling data to correlate cell-level performance metrics to specific material properties.
• Hands-on Characterization: Conduct thorough analysis and characterization of structure-property relationships in Li-ion battery materials.
• Scale-Up Integration: Partner with the manufacturing team to industrialize lab results, ensuring that novel materials are compatible with existing workflows and high-volume scale-up.
• Distill & Communicate: Translate complex R&D findings into clear, actionable takeaways for technical peers, management, and operations to shape products and production.
• Implement Analytics: Utilize and refine analytical methods to ensure accurate and repeatable evaluation of materials.
You are a deeply technical, diligent, and resourceful hands-on team player. You thrive in the lab and excel at turning first-principles science into physical, high-performing battery materials. You have a meticulous eye for detail and a passion for data analysis, constantly looking for ways to optimize material synthesis and performance. This is a high-impact role designed for a builder. You aren't just looking for a breakthrough in a vial; you are looking for a breakthrough that survives a factory floor. You will be a key driver in bringing our core technology from R&D milestones to market-ready products.
• Ph.D. or MS in Materials Science, Chemical Engineering, Chemistry, or Physics with 5+ years of hands-on industry experience.
• Experience in materials-centric industries (e.g., semiconductors, battery tech, specialty chemicals, or advanced composites) is highly preferred.
• A proven track record of scaling synthesis, process developments on battery or advanced composite materials. You should be as comfortable with a pipette as you are with a pilot reactor.
• Demonstrated experience in technology transfer—moving material chemistry from a research environment into a production-ready state.
• Fluent knowledge of Designed Experiments (DoE), research statistics, and computational methods for deep data analysis. Experience with JMP and Python is a significant plus.
• Intimate, practical knowledge of analytical methods for materials and battery characterization.
• History of safety-centric development and operational accomplishments in lab and manufacturing environments.