AstraZeneca
Production Planner, Supply Chain Planning
Canada – Hamilton – Longwood Road South · Mid · Contract
Sponsorship not specified$71k-$94kDetected 1 day ago
ExcelSAPSupply ChainERPClinical TrialsClinical ResearchGMPResearchOrganizational SkillsSharePointGxP
Stay score
odds of building a lasting career here
42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level I)39
Fits your clock70
Thin sponsorship signal and lottery-bound (~15% per draw). A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- We are seeking a Production Planner who brings a detailed and collaborative focus to join our team.
Responsibilities
- Collaborate closely with the Clinical Supply Chain team, CMOs, and internal manufacturing sites to plan and schedule patient doses, calibration sample availability, and overall manufacturing operations.
- Maintain accurate data entry within planning systems and trackers to ensure real-time visibility and schedule accuracy. Perform regular data audits to support reliable reporting and operational planning.
- Develop, draft, and maintain Standard Operating Procedures (SOPs) and Work Instructions for core departmental processes and supply activities to ensure GxP compliance and consistency.
- Act as a key liaison between supply chain, quality assurance, and manufacturing partners to resolve scheduling bottlenecks
Requirements
- Bachelor's degree in supply chain management, Business Administration, Life Sciences, or a related field.
- 2 to 3 years of experience in production planning, scheduling, or supply chain experience, preferably within the pharmaceutical, biotech, or clinical research sectors.
- Familiarity with GMP (Good Manufacturing Practices) and Standard Operating Procedures within a regulated manufacturing environment.
- Exceptional organizational skills, acute attention to detail, and proven ability to communicate effectively with external and internal stakeholders.
- Familiarity with clinical trial phases (Phase I-III), blinding/randomization concepts, and the strict timelines required for patient-specific dosing.
- Hands-on experience with ERP/MRP systems (e.g., SAP or specialized clinical supply management systems like Perceptive RTSM)
- Advanced proficiency in Microsoft Excel (data modeling, automated trackers, complex formulas)
- GTAA Top Employer Award for 11 years
- Strong command of ERP/MRP systems and advanced data management tools (such as Microsoft Excel, SharePoint, and workflow automation tools).
- Able to work flexible hours to accommodate global time zones as needed.
- Desirable:
- Great People want to Work with us! Find out why:
- Top 100 Employers Award
Nice to have
- Proven experience in cell therapy or radiopharmaceutical supply chain operations is a plus.
Compensation
- Annual base salary for this position ranges from 71,379.20 to 93,685.20.
Benefits
- offered for permanent roles include a competitive Flex Benefits & Retirement Savings Program, 4 weeks' paid vacation, and annual Personal Days.
- Fixed Term Contract/Temporary positions (excluding students) are offered a Contract Benefits Program.
Company info
- The Role: We are seeking a Production Planner who brings a detailed and collaborative focus to join our team.
- We are using AI as part of the recruitment process.
- Fusion Pharmaceuticals, part of the AstraZeneca Group, is redefining precision oncology with next‑generation radioconjugates that deliver powerful alpha‑emitting payloads directly to tumors.
- Join us at the forefront of radiopharma innovation and be part of turning breakthrough science into meaningful outcomes for patients-come build what's next with us!
Apply directly at AstraZeneca →Create a free account for alerts like thisView AstraZeneca immigration profile
This listing is sourced directly from AstraZeneca's careers page and normalized into a canonical job model.