Advanced Process Data Analytics and Modeling Internship
Core
Intern role focusing on harnessing process data analytics and AI methodologies to refine real-time bioprocess monitoring and predict performance metrics like yield and product quality in biomanufacturing.
Role type
Intern, data analytics and AI modeling
Builds
automated data extraction pipelines, AI models for yield prediction, and analytical tools for bioprocessing unit operations
Domain
Biotechnology / Bioprocessing
Deliverable
production ML models | dashboards & analysis
Required skills
Python programming, statistical data analytics, ETL of large datasets, fundamentals of bioprocessing, data visualization
Preferred skills
Process Analytical Technology (PAT), modeling bioprocesses
Technologies
OSI PI, Statistica, TensorFlow, PyTorch, scikit-learn
Responsibilities
Build automated data extraction pipelines and data processing workflows; Develop AI models from real-time bioprocess data to predict yield and critical quality attributes; Create novel data analytical tools to describe bioprocessing unit operations; Build user-friendly applications and visualize model outputs; Conduct root cause analysis and propose process improvements; Support process experts with data analysis requests, visualization, and reporting
Seniority
Intern
