摘要
About the Role
Preferred start date : August 2025
Duration: 2 years
Location: Campus Basel
Your Responsibilities:
Your responsibilities include, but are not limited to:
- Develop mathematical models (mechanistic, data-driven, hybrid) to characterize the production system (cellular, USP or DSP units, etc.) and its dynamic including uncertainty modeling.
- Design experiments in the context of model-based experimental learning to support the model development activities.
- Perform model verification and validation activities including historical and new data and convert model outcomes into practical relevant information for the purpose of process optimization/characterization.
- Identify and influence model-based and data driven initiatives.
- Contribute and function as a subject matter expert to the establishment of in-silico models in accordance with our data & digital strategy.
- Be proactively identifying challenges, proposing solutions, and communicating key issues to internal customers and partners.
- Align and collaborate with external vendors (if needed) to establish and implement innovative model-based solutions.
What you will bring to the role:
- A PhD in relevant fields such as bio-chemical engineering, bioprocess technology, applied data science or similar with a strong background on process modelling (mechanistic, statistic and hybrid models) and optimization.
- Demonstrated programming skills (Python, R, and/or MATLAB), and knowledge of Machine Learning algorithms.
- Knowledge of USP/DSP (continuous/connected) processes, with the interest and ability to work on either field.
- Excellent ability to build collaborative relationships and a can-do mindset.
- Effective communication and presentation skills
- Proven ability to manage and prioritize multiple tasks.
- Agility to adjust to a fast-changing working environment.
- Proficiency in oral and written English
Desirable requirements:
- Curious mindset with a strong interest in new technologies
- Attitude to resolve challenges with the ability to accurately balance between efforts, risks, and benefits.
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? http://www.novartis.com/about/strategy/people-and-culture
Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: http://talentnetwork.novartis.com/network
Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: http://www.novartis.com/careers/benefits-rewards
