AstraZeneca

AstraZeneca

Regulatory Manager, CA

Canada – Hamilton – Longwood Road South · Contract

Sponsorship not specified$103k-$136kDetected 1 day ago
ComplianceCustomer SupportResearchLeadership

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odds of building a lasting career here

53Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level II)66
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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About the role

  • Serve as a recognized specialist in caring for and managing research animals.
  • Note: This position is located in our Hamilton facility with the requirement of being on-site 5 days per week.

Responsibilities

  • Provide leadership to a team of animal technicians, ensuring the effective completion of animal welfare tasks, including feeding, cleaning animal housing, changing bedding, and caring for sick animals and provide regulatory compliance support.

Requirements

  • University degree in a scientific field or significant relevant experience
  • Proven ability to independently perform laboratory experiments to the required standard on a consistent basis
  • Have strong knowledge of the disease area strategy and related research.

Compensation

  • Annual base salary for this position ranges from 103,404.80 to 135,718.80.

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.
  • Perform all tasks in adherence to local Safety, Health, and Environment requirements to maintain a safe working environment.

Company info

  • At AstraZeneca, we turn ideas into life-changing medicines.
  • We are using AI as part of the recruitment process.

This listing is sourced directly from AstraZeneca's careers page and normalized into a canonical job model.