Scientist II, Data Scientist, Bioprocess Digital Twin - Thermo Fisher Scientific

Key Responsibilities

• Design, develop, and validate digital twin models for bioprocess operations using Python and machine learning techniques.
• Collaborate with cross‑functional teams to integrate process data, sensor streams, and simulation outputs into actionable insights.
• Implement data pipelines, perform feature engineering, and conduct statistical analysis to support model accuracy and robustness.
• Communicate findings through clear visualizations, reports, and presentations to stakeholders.
• Stay current with emerging technologies in digital twins, process analytics, and bioprocessing.

Requirements

• Master’s degree or higher in Data Science, Bioengineering, or related field.
• 3+ years of experience in data science or analytics within bioprocess or manufacturing environments.
• Strong understanding of bioprocess fundamentals and digital twin concepts.
• Excellent communication skills and ability to translate complex analyses into business‑impactful recommendations.