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
