Novartis Pharma AG
Senior Expert Science & Technology – Downstream Process Modelling(m/w/x)
Full-timeOn-siteSenior
Basel
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NONovartis Pharma AG
Senior Expert - Science & Technology Upstream Process Modeling & Simulation(m/w/x)
Basel
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Native
- German – Basic
Tools & Technologies
- R
- Python
- MATLAB
- Machine Learning
- generative AI
- LLMs
- diffusion models
- gPROMS
- Aspen Plus
- Simulink
- TensorFlow
- PyTorch
- scikit-learn
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Novartis Pharma AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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NONovartis Pharma AG
Senior Expert - Science & Technology Upstream Process Modeling & Simulation(m/w/x)
Basel
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Native
- German – Basic
Tools & Technologies
- R
- Python
- MATLAB
- Machine Learning
- generative AI
- LLMs
- diffusion models
- gPROMS
- Aspen Plus
- Simulink
- TensorFlow
- PyTorch
- scikit-learn
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Novartis Pharma AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Novartis Pharma AG
Industry
Pharmaceuticals
Description
Das Unternehmen setzt sich für Vielfalt, Chancengleichheit und Inklusion ein und fördert innovative Lösungen zur Verbesserung der Patientenversorgung.
Not a perfect match?
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