Senior Expert - Science & Technology Upstream Process Modeling & Simulation

Summary

Location: Basel, Switzerland #onsite
Role Purpose:
We are looking for a scientist with a strong background in Data Sciences, Modeling & Simulation and AI applications to support and advance our upstream bioprocess development efforts. This role is ideal for a technically skilled and passionate individual who thrives at the intersection of biotechnology and data science.The position may be appointed at either the Senior Expert or Expert level, depending on the candidate’s experience and seniority.

About the Role

Your responsibilities include, but are not limited to:

• Design, develop and deploy advanced modeling and simulation strategies for upstream cell culture processes, including:
  • Mechanistic, data-driven, and hybrid models
  • In silico process optimization and scenario analysis
  • Digital Twins with integration of Model Predictive Control (MPC) and Process Analytical Technology (PAT)
• Identify and implement solutions, incl. generative AI (genAI), to extract and process data from structured and unstructured sources (e.g., ELNs, LIMS, scientific publications) and to derive bioprocess insights.
• Collaborate with global stakeholders and peers to align modeling strategies, share best practices, and contribute to the development of modeling standards and platforms.
• Support cross-functional digitalization initiatives within the global Upstream Process Development network, including data infrastructure and digital workflows.
• Train peer scientists on modelling tools and solutions for streamlined upstream process development
• Ensure compliance with data integrity, quality, and regulatory standards in all modeling and digitalization activities.

What you’ll bring to the role:

• Education / Experience:
  • MSc in Biotechnology, Biochemical Engineering, Bioinformatics, Data Science, Mathematics or similar with a strong background in (bio-)process modelling (mechanistic, data-driven and hybrid models) or data analytical methods in the field of bioprocessing. Relevant professional experience in process modeling and digitalization.
• Technical Expertise:
  • Demonstrated experience in data analytics and/or modeling & simulation of industrial cell culture processes.
  • Demonstrated programming skills (R, Python or MATLAB), and knowledge of Machine Learning algorithms.
  • Deep knowledge in one or more of the following areas:
    • Machine learning and data analytical methods
    • Mechanistic modeling (e.g., mass balances, kinetic models or hybrid modelling)
    • 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, e.g:
    • Programming languages: Python, R, MATLAB
    • Modeling software: gPROMS, Aspen Plus, Simulink
    • AI/ML frameworks: TensorFlow, PyTorch, scikit-learn
  • Understanding of bioprocessing principles and unit operations is advantageous.

• Languages:
  • Fluency in English, oral and written; German is a plus.