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Senior Expert - Science & Technology Upstream Process Modeling & Simulation(m/w/x)
Developing mechanistic, data-driven, and hybrid models for cell culture processes. MSc degree and programming skills in R, Python, or MATLAB required. Integration of Digital Twins with MPC and PAT.
Anforderungen
- MSc in Biotechnology, Biochemical Engineering, Bioinformatics, Data Science, Mathematics or similar
- Strong background in (bio-)process modelling or data analytical methods
- Relevant professional experience in process modeling and digitalization
- Demonstrated experience in data analytics and/or modeling & simulation of industrial cell culture processes
- Demonstrated programming skills (R, Python or MATLAB)
- Knowledge of Machine Learning algorithms
- Deep knowledge in Machine learning and data analytical methods
- Deep knowledge in Mechanistic modeling (e.g., mass balances, kinetic models or hybrid modelling)
- Deep knowledge in Digital twin development and real-time process control
- Experience with generative AI (e.g. LLMs, diffusion models) for knowledge extraction, process design, or automation is a strong plus
- Proficiency in relevant modelling tools and platforms
- Understanding of bioprocessing principles and unit operations is advantageous
- Fluency in English, oral and written
- German is a plus
Aufgaben
- Design advanced modeling and simulation strategies
- Develop mechanistic, data-driven, and hybrid models
- Deploy in silico process optimization and scenario analysis
- Integrate Digital Twins with Model Predictive Control (MPC) and Process Analytical Technology (PAT)
- Implement generative AI (genAI) solutions for data extraction and processing
- Extract and process data from structured and unstructured sources
- Derive bioprocess insights from data
- Collaborate with global stakeholders to align modeling strategies
- Share best practices and contribute to modeling standards
- Support cross-functional digitalization initiatives
- Train peer scientists on modeling tools and solutions
- Ensure compliance with data integrity, quality, and regulatory standards
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – fließend
- Deutsch – Grundkenntnisse
Tools & Technologien
- R
- Python
- MATLAB
- Machine Learning
- generative AI
- LLMs
- diffusion models
- gPROMS
- Aspen Plus
- Simulink
- TensorFlow
- PyTorch
- scikit-learn
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Senior Expert - Science & Technology Upstream Process Modeling & Simulation(m/w/x)
Developing mechanistic, data-driven, and hybrid models for cell culture processes. MSc degree and programming skills in R, Python, or MATLAB required. Integration of Digital Twins with MPC and PAT.
Anforderungen
- MSc in Biotechnology, Biochemical Engineering, Bioinformatics, Data Science, Mathematics or similar
- Strong background in (bio-)process modelling or data analytical methods
- Relevant professional experience in process modeling and digitalization
- Demonstrated experience in data analytics and/or modeling & simulation of industrial cell culture processes
- Demonstrated programming skills (R, Python or MATLAB)
- Knowledge of Machine Learning algorithms
- Deep knowledge in Machine learning and data analytical methods
- Deep knowledge in Mechanistic modeling (e.g., mass balances, kinetic models or hybrid modelling)
- Deep knowledge in Digital twin development and real-time process control
- Experience with generative AI (e.g. LLMs, diffusion models) for knowledge extraction, process design, or automation is a strong plus
- Proficiency in relevant modelling tools and platforms
- Understanding of bioprocessing principles and unit operations is advantageous
- Fluency in English, oral and written
- German is a plus
Aufgaben
- Design advanced modeling and simulation strategies
- Develop mechanistic, data-driven, and hybrid models
- Deploy in silico process optimization and scenario analysis
- Integrate Digital Twins with Model Predictive Control (MPC) and Process Analytical Technology (PAT)
- Implement generative AI (genAI) solutions for data extraction and processing
- Extract and process data from structured and unstructured sources
- Derive bioprocess insights from data
- Collaborate with global stakeholders to align modeling strategies
- Share best practices and contribute to modeling standards
- Support cross-functional digitalization initiatives
- Train peer scientists on modeling tools and solutions
- Ensure compliance with data integrity, quality, and regulatory standards
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – fließend
- Deutsch – Grundkenntnisse
Tools & Technologien
- R
- Python
- MATLAB
- Machine Learning
- generative AI
- LLMs
- diffusion models
- gPROMS
- Aspen Plus
- Simulink
- TensorFlow
- PyTorch
- scikit-learn
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Novartis Pharma AG
Branche
Pharmaceuticals
Beschreibung
Das Unternehmen setzt sich für Vielfalt, Chancengleichheit und Inklusion ein und fördert innovative Lösungen zur Verbesserung der Patientenversorgung.
Noch nicht perfekt?
- Novartis Pharma AG
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