AddressProcess Modelling Expert – Associate Principal Scientist - Process Engineer
Location - Macclesfield, UK
Are you a scientific leader with a passion for Process Modelling and simulation? Do you thrive in a collaborative environment, working across various skillset areas? If so, we have an exciting opportunity for you! As a Process Modelling Expert, you will drive Process Modelling and simulation in process development and optimisation, establishing a strong modelling and predictive culture in our growing Chemical Development. This is your chance to make a real impact, working closely with project technical teams to apply digital approaches to the process design and optimisation. Join us and be part of a supportive and welcoming team of equals at AstraZeneca!
As a Process Modelling Expert, your key responsibilities will include collaborating with chemists, chemical engineers, analytical chemists, and crystallisation experts to integrate modelling with experimental data and optimise API manufacturing processes. You will utilise cutting-edge Machine Learning techniques to analyse complex data sets, extract hidden patterns, and develop predictive models. You will also leverage Bayesian Optimisation algorithms to design experiments effectively, identify optimal conditions, and accelerate the process of developing novel APIs. Additionally, you will design, develop, and implement process models and simulations using advanced modelling software. Your role will also involve driving and championing digital transformation and innovation within Chemical Development.
Essential Skills/Experience:
- Degree or PhD in a relevant area such as chemical engineering or similar
- Strong understanding of engineering principles of unit operations in chemical processes
- Experience of in-silico modelling of operations
- Experience working alongside R&D scientists
- Strategic thinking and approach
- wealth of experience in Process Modelling, simulation, and optimisation in the pharmaceutical or chemical industry
- Expert proficiency in Bayesian Optimisation, Process Systems Modelling, and Machine Learning techniques
- Experience with Aspen Plus, HYSYS, and gPROMS software
- Excellent communication and presentation skills
- Ability to work independently and as part of a team
- Passion for innovation and a commitment to cutting-edge technologies
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 are driven by our commitment to deliver accelerated growth and to make people's lives better. We thrive in our often intense and ambiguous environment, seeking out new challenges and working towards new solutions. We are part of an inclusive and giving community, supporting each other on our journeys. We are intellectually stimulated by constant learning and there's potential for multiple, global careers and great rewards, for those who embrace the diverse opportunities. We are truly changing the business, with huge investment and backing in Operations, from hi-tech centres to Lean academies. We are key contributors to being Zero Carbon by 2025 and carbon negative across the entire value chain by 2030.
Ready to make a positive impact in a team where it means more? Apply now and join us in our mission to deliver more medicines to patients, quicker and more affordably.
AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
