Job Title

General Manager, Canada Full-Time On-Site A rapidly growing biologics discovery and development organization is seeking an experienced operational leader to drive its Canadian site through a critical growth phase. The site delivers biologics services to pharmaceutical and biotech clients, integrating in silico and AI-driven approaches into scientific workflows. The General Manager will own P&L, operational performance, and site scaling, while implementing software and AI-enabled tools to improve throughput, predictability, and client satisfaction. Responsibilities - Full P&L ownership: budget, forecast, pricing, margin, and exception approvals - Lead quarterly business reviews and corrective actions with executive leadership - Establish and enforce operating metrics for bookings, backlog, capacity, utilization, project margin, and cash collection - Manage project intake, scoping, staffing, scheduling, risk, and escalations - Standardize delivery practices, milestone reporting, and program governance - Optimize throughput and cycle time while maintaining scientific rigor and data quality - Oversee software and AI/LLM rollout, adoption, training, and stabilization - Lead integration of software-enabled workflows connecting wet-lab and AI capabilities - Align systems, templates, SOPs, and reporting across sites - Build and scale a high-performing team with clear accountability and measurable metrics - Maintain safe laboratory operations and audit readiness Qualifications - 15+ years of management experience with P&L, budgeting, forecasting, and margin control - 5+ years in CRO, CDMO, or fee-for-service biologics R&D services - 8+ years leading managers and senior scientific or operational leaders - Proven track record scaling operations, implementing processes, and driving change - Experience leading software rollouts and integrating AI/LLM tools in operations - Strong client-facing leadership, program review, and escalation management experience - Experience in fee-for-service, non-GMP lab environments - Multi-site and cross-geography experience preferred - Familiarity with in silico, computational biology, and AI-assisted biologics workflows