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Data Scientist – Computer Vision & Bioprocess Analytics

Skills

aianalyticscomputer visiondata modelingdata pipelinesdata sciencedeep learningfeature engineeringmachine learningopencvpowerbipythonpytorchsqltableautensorflowtime seriesPythonSQL

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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