Job Title

Join our Plant Science team as an Associate Scientist in Breeding, where you will lead and support applied research initiatives that drive cannabis cultivar development. This role bridges hands-on plant work, data-driven decision-making, and cross-functional collaboration with cultivation, post-harvest, and biotechnology teams. We''re looking for a scientifically curious, detail-oriented individual with a strong foundation in plant genetics or breeding, who thrives in a dynamic environment and can balance long-term planning with agile execution. You''ll also provide mentorship and oversight to research assistants and contribute to the strategic direction of our breeding program. Responsibilities: Design and implement phenotyping trials to evaluate agronomic, morphological, and chemical traits Establish and manage crossing blocks for trait introgression and hybrid development Collect, curate, and analyze phenotypic and genotypic data using spreadsheets and statistical tools Collaborate with cultivation, post-harvest, and biotech teams to align breeding goals with production needs Supervise and mentor research assistants in daily operations and data collection Maintain accurate records of experimental design, data, and outcomes Contribute to long-term breeding strategies while remaining responsive to evolving project priorities Support cannabis tissue sampling, plant care, and compliance-related documentation Qualifications: MSc in Plant Breeding, Genetics, Horticulture, or related field with 2+ years of relevant experience; or BSc with 5+ years of relevant experience Demonstrated experience in plant phenotyping, breeding design, and data analysis Familiarity with molecular biology techniques (e.g., DNA extraction, PCR, marker analysis) Proficiency in Excel and data management tools; experience with R, Python, or statistical software is an asset Strong organizational and communication skills, with a track record of cross-functional teamwork including supervisory roles Knowledge of cannabis biology, physiology, and production systems is highly desirable Ability to obtain and maintain Security Clearance under ACMP regulations Proven ability to manage multiple priorities and adapt to shifting project goals