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R&D Lab Technician

Job in Hamilton, Ontario, E8H, Canada
Listing for: Rain Industries Limited
Full Time position
Listed on 2026-06-11
Job specializations:
  • Research/Development
    Research Scientist
Salary/Wage Range or Industry Benchmark: 60000 - 80000 CAD Yearly CAD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

At Rain Carbon Inc., we're dedicated to assembling exceptional teams, nurturing talent, and fostering personal and professional growth. Join us in a safe, supportive environment where you can realize your full potential with the tools, guidance, and opportunities to thrive.

Our global offices facilitate seamless operations, complemented by state‑of‑the‑art production facilities in Belgium, Canada, Germany, India, Poland, and the USA where we cultivate enduring partnerships and ensure market success through consistent quality and customized solutions. With an unwavering commitment to reliability and responsibility, we foster a culture of excellence across all levels of our organization.

Background

Rain Carbon Inc. (RAIN), a global leader in upcycling of industrial byproducts to high‑value carbon materials, has announced a 30,000 sq. ft. industrial facility in Hamilton, Ontario, Canada to serve as the location for the new RAIN Innovation Center for Energy Storage Materials. The R&D center will house a demonstration facility for pilot‑scale processing of carbon and carbon precursor materials and laboratories dedicated to carbon material analysis with state‑of‑the‑art analytical and physicochemical characterization equipment.

It will support the testing and application development of RAIN’s LIONCOAT® thermoplastic precursor products and the commercialization of new energy‑storage material solutions based on natural and synthetic graphite as well as silicon‑carbon composites for lithium‑ion batteries, and will also develop products for solid‑state batteries, sodium‑ion batteries and hydrogen fuel cells.

Purpose of the Job
  • Characterize battery anode materials through precise physical, chemical, structural, and surface analyses to support R&D and quality control.
  • Correlate powder and microstructural properties with processing behavior and product specifications to guide material selection, process optimization, and product development.
  • Ensure data accuracy and traceability via meticulous documentation, standardized workflows, and adherence to SOPs.
  • Drive process improvement by enhancing characterization methods, maintaining contamination controls, and collaborating across teams to advance battery anode material development.
Duties & Responsibilities Powder Materials Characterization
  • Receive and verify battery anode‑related powder materials against specifications, record lot metadata, and perform representative sampling and homogenization for testing and retention.
  • Conduct particle size and shape analysis, surface area and porosity measurements, density and flow property evaluations, and moisture/volatile content determination following validated SOPs.
  • Analyze elemental composition, impurity metals, and ash content via ICP‑OES and related techniques; perform XRD, Raman, and combustion analyses to determine phase composition, carbon structure, graphitization, and residual contaminants.
  • Record results in ELN/LIMS with full traceability, maintain calibration of analytical instruments, implement contamination control measures, and provide timely characterization reports to support R&D and production decisions.
Advanced Physicochemical Characterization
  • Evaluate particle morphology, cross‑sections, porosity distribution, and surface features using microscopy and image analysis; correlate microstructure with shaping, coating, densification, and downstream processing behavior.
  • Perform and interpret XRD, Raman, and related methods to assess graphitization degree, crystal lite order/disorder, interlayer spacing, and phase composition of graphite, coke‑derived carbons, and composite anodes.
  • Assess surface chemistry, coating quality, impurity distribution, and residual contaminants using combustion analysis, elemental analysis, ICP‑based methods, and other relevant techniques.
  • Process physicochemical datasets using Python/Excel‑based tools, generate standard plots (particle size distributions, XRD peak analysis, Raman /IG trends, BET/porosity summaries, impurity charts), and compile results linking material attributes to process history and product specifications.
Data, Documentation, and Quality
  • Record all experimental and…
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