Data Scientist II - Bioprocess Digital Twin - ThermoFisher Scientific

Key Responsibilities

• Design, implement, and validate digital twin simulations of bioprocess workflows.
• Apply machine‑learning algorithms to large‑scale process data for predictive analytics and optimization.
• Develop data pipelines and visual dashboards to monitor real‑time bioprocess performance.
• Collaborate with bioprocess engineers and IT teams to integrate models into cloud‑based manufacturing systems.
• Document methodologies, results, and best practices for reproducibility and regulatory compliance.

Requirements

• Advanced degree (M.S. or Ph.D.) in Data Science, Chemical/Biological Engineering, or related field.
• Proficiency in Python and common ML libraries (e.g., scikit‑learn, TensorFlow, PyTorch).
• Experience with bioprocess data, modeling, and digital twin concepts.
• Strong skills in data visualization tools (e.g., Plotly, Tableau) and cloud platforms (AWS, Azure, or GCP).
• Excellent problem‑solving abilities and ability to work cross‑functionally in a fast‑paced environment.