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Scientist, Analytical Development- Eurofins CDMO Alphora Inc. Scientist, Analytical Development

Job in Mississauga, Ontario, Canada
Listing for: Seeds Renewables
Full Time position
Listed on 2026-09-18
Job specializations:
  • Research/Development
    Data Scientist
  • IT/Tech
    Data Scientist
Salary/Wage Range or Industry Benchmark: 80000 - 100000 CAD Yearly CAD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Scientist, Analytical Development- Eurofins CDMO Alphora Inc. Scientist, Analytical Development[...]

Scientist, Analytical Development
- Eurofins CDMO Alphora Inc.

Job Description

The Scientist in Analytical Development is responsible for leading the development of analytical testing for biologics and therapeutics, and for playing a crucial role in the design and execution of comprehensive analytical testing. The scientist reports to the Manager, Analytical Development in Biologics and manages the planning and execution of technology and method transfer, as well as early- and late-stage method development and testing within the Biologics Business Unit to meet business objectives.

Duties and Responsibilities:

  • Comprehensive understanding of testing with analytical instruments, bioprocessing, and industrial biotechnology
  • Experience and good understanding of aseptic techniques in a laboratory setting
  • Basic understanding of how to implement Design of Experiments (DoE) and Quality by Design (QbD) in the biopharmaceutical industry
  • Good understanding of Current Good Manufacturing Practices (cGMP) in biomanufacturing
  • Leading projects, scientific communication, dealing with clients, etc.
  • Strong documentation and technical writing skills, and the ability to apply relevant scientific principles and practices
  • Strong command over written and verbal English
  • Ability to work under minimal supervision and independently, as well as in a team environment
  • Ability to exercise appropriate professional judgment on matters of significance
  • Proficient in computer skills and software applications such as MS tools
  • Knowledge of statistical packages
  • Must communicate clearly and concisely across levels, both orally and in written form
  • Proven ability to effectively and independently design and plan experiments, prioritize tasks and critically evaluate results under compressed timelines
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