Senior Process Engineer

What you can expect

• Apply and extend your capability in mechanistic and physics-informed process modelling through relevant product and project work.
• Collaborate with experienced engineers and specialists in process engineering, materials science, PAT, data science, equipment engineering and pharmaceutical development.
• Translate physical understanding into mathematical descriptions, identify the data needed to test model assumptions, and apply models to support technical decisions.
• Gain exposure to a broad range of products, manufacturing technologies and sites while working with internal teams and external partners.
• Take ownership of increasingly complex work packages and broaden your technical leadership responsibilities.

Key Responsibilities

• Provide process engineering support to a prioritized portfolio of commercial products manufactured at AstraZeneca sites and by external partners.
• Plan and deliver defined technical work packages, working with manufacturing sites and cross-functional specialists.
• Apply engineering fundamentals and structured problem-solving to understand manufacturing processes and resolve process or equipment-related issues.
• Develop and test mechanistic explanations of process behavior using calculations, experimental evidence and manufacturing data.
• Develop and apply quantitative process descriptions, including mass and energy balances, scale-up relationships and, where appropriate, mechanistic or physics-informed models.
• Support product transfers, process changes and other activities that protect supply and improve manufacturing robustness.
• Communicate technical reasoning, assumptions, uncertainties and recommendations clearly in reports and discussions with stakeholders.

Essential Skills and Experience

• B.S./M.S. with at least three years of relevant experience in Chemical Engineering, Process Engineering, Mechanical Engineering, Applied Mathematics, Physics or another relevant quantitative discipline.
• Strong understanding of engineering or physical-science fundamentals and the ability to apply them to real processes.
• Evidence of curiosity about why processes behave as they do, with a structured approach to identifying and testing possible mechanisms.
• Ability to analyze data quantitatively, make well-reasoned judgments and explain conclusions, assumptions and limitations clearly.
• Ability to plan and deliver technical work, collaborate effectively and develop new technical capabilities.

Desirable Skills and Experience

• PhD preferred
• Evidence of exploring a process, system or physical phenomenon mechanistically and expressing that understanding quantitatively.
• Experience using engineering calculations, mathematical models or simulations to understand or predict behavior.
• Experience designing experiments or analyzing data to test hypotheses, distinguish between mechanisms or estimate model parameters.
• Familiarity with a modelling or programming environment such as Python, MATLAB, gPROMS, DEM or equivalent tools.
• Knowledge of relevant areas such as transport phenomena, particle or powder mechanics, residence-time behavior, population balances, scale-up or equipment–material interactions.