Data Scientist – Computer Vision & Bioprocess Analytics
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Description
You join the Manufacturing Science & Technology team of an international biopharmaceutical company. Your mission is to make process data usable, visible and predictive across a portfolio of vaccine production processes. You work end to end: you structure the data, build analytics and AI tools, and deliver the dashboards process teams use every day.
Responsibilities
- Turn complex manufacturing and laboratory data into structured, reliable datasets
- Design data models and pipelines that connect multiple data sources
- Develop analytics and machine learning solutions for process monitoring and optimisation
- Apply computer vision techniques to biological image data
- Build predictive models that help process teams anticipate and take decisions
- Automate data preparation to speed up analysis
- Create clear dashboards and visualisations for scientific and operational teams
- Work closely with process experts, lab teams and IT to bring solutions into daily use
- Document your work in line with quality and data integrity standards
Requirements
- Master’s degree or PhD in Data Science, Computer Science, Bioengineering, Biomedical Engineering or a related field
- 5+ years of experience in image analysis or computer vision
- Strong Python and SQL skills
- Experience in data modelling and data pipelines
- Experience with time-series analysis and feature engineering
- Experience in computer vision and deep learning (OpenCV, PyTorch or TensorFlow)
- Hands-on experience with a visualisation tool such as Power BI, Spotfire or Tableau
- Knowledge of bioprocessing or cell culture is a strong asset
- Familiarity with GMP and data integrity is a plus
- Fluent in English and French
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