Senior Scientist Process Engineer – Pharmaceutical Product Development

Overview

In this role you will combine hands-on experiments with modelling to design robust manufacturing processes for oral and parenteral drugs. You will work within a cross-functional team at the interface of science and manufacturing, shaping development strategies for late-stage products. You will use digital tools to guide experimental strategy, risk quantification, and faster decision-making. This opportunity offers impact across development to commercial scale and a clear path to influencing manufacturing science at AstraZeneca.

Responsibilities

• Lead the design, development and optimization of robust manufacturing processes for oral and parenteral drug products
• Design, execute and interpret laboratory studies to build deep process understanding
• Contribute to scale-up and technology transfer for oral solid dosage forms and parenteral products
• Apply modelling, simulation and digital tools to guide strategy and accelerate timelines
• Champion digital approaches that improve data integrity and reuse in process development
• Build partnerships with formulation scientists, engineers and manufacturing experts to solve complex challenges
• Plan and deliver technical activities to agreed timelines with sound engineering judgment
• Contribute to scientific networking and awareness of emerging methods and technologies

Key requirements

• PhD or MSc with significant industrial pharmaceutical process development experience
• Hands-on laboratory experience with experimental design and data interpretation
• Experience in pharmaceutical process development within CMC for oral solid dosage forms and/or parenteral products
• Strong understanding of CMC regulatory requirements and regulatory documentation support
• Experience applying modelling, simulation and digital technologies to support decision-making
• Strong scientific problem-solving and data interpretation skills
• Excellent collaboration and communication across multidisciplinary, global teams
• English language proficiency

• collaboration
• communication
• problem-solving
• modelling and simulation
• digital tools in process development
• data integrity

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