AstraZeneca is a global, innovation-driven biopharmaceutical company where we not only focus on the discovery, development and delivery of life-saving medicines to our patients but believe in sustainability and are determined to minimise the impact of our work on the environment. We are proud to be a great place to work and have a culture that inspires innovation and collaboration. We empower our colleagues to express diverse perspectives and at the same time feel valued, respected and rewarded for their ideas and creativity.
We turn brilliant science into actual medicines that help millions of people. We work across the entire value chain, designing and delivering active ingredients, formulations and devices for new medicines and providing expert technical support to all AstraZeneca’s development and commercial pharmaceuticals as we successfully supply medicines to patients.

ACCOUNTABILITIES:

• Design, develop, and deploy mechanistic, hybrid, and data-driven modelling solutions for a broad portfolio of pharmaceutical processes, including unit operations and continuous processes.
• Drive digital design strategy and utilize models and digital tools in regulatory submissions.
• Use programming languages such as Python, MATLAB, and R to translate complex mathematical models into reusable code elements.
• Develop mathematical models using engineering, chemical, or materials science knowledge and translate them into computer models using platforms like gPROMS, Aspen, DynoChem, and ANSYS.
• Implement process modelling in established workflows and document progress through scientific communication, maintaining current knowledge of new modelling techniques.

ESSENTIAL SKILLS/EXPERIENCE:

• Possession of a significant scientific background with a higher degree or PhD level education linked to predictive-modelling chemical approaches
• Evidence of development of chemical models sufficient to develop ‘right, for right now’ thinking and a life cycle management perspective
• Excellent interpersonal skills with a proven ability to engage and collaborate across boundaries, displaying a problem-solving approach and a focus on delivering results
• Highly experienced in influencing and stakeholder management
• Able to work in a global, multi-cultural business environment

DESIRABLE SKILLS/EXPERIENCE:

• Experience with ‘Enterprise Architecture’ data structures and how to align to them
• Experience of working with external partners/suppliers
• Experience leading a team and developing others through coaching and mentoring
• Understanding of lean principles and demonstrated ability to drive continuous improvements
  When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That’s why we work, on average, a minimum of three days per week from the office. But that doesn’t mean we’re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
  At AstraZeneca, we embrace change and innovation to deliver life-changing medicines quickly and sustainably. Our commitment to technology transforms our ways of working, creating smart factories that enhance efficiency across all parts of the business. With a diverse workforce united by curiosity, we leverage data to improve processes and deliver better outcomes for patients. Be part of our digital journey as we make a significant impact on society, the planet, and our business.
  Ready to make a difference? Apply now and join us on this exciting journey

Are you ready to lead the charge in revolutionizing pharmaceutical processes? We are seeking a Principal Scientist in Process Modelling to design, develop, and deploy cutting-edge mechanistic, hybrid, and data-driven modelling solutions. Your expertise will drive the advancement of manufacturing process modelling for active pharmaceutical ingredients, ensuring the effective utilization of modelling and simulation in process development. Collaborate with internal and external partners to foster innovation and nurture scientific growth across the modelling function. Are you up for the challenge?