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Prothya Biosolutions

Data Science Specialist

Prothya Biosolutions
Belgium · Full-time · Associate

Are you ready to bridge GMP compliance with advanced analytics?


Prothya Biosolutions is looking for a Data Science & Compliance Reporting Specialist to join our Product Support Team within the Operations Support Department. This hybrid role combines pharmaceutical manufacturing expertise with cutting-edge data science, machine learning, and digital transformation.


What you’ll do

  • Lead the preparation, review, and statistical evaluation of Product Quality Reviews (PQR) and Quality Review Reports (QRR) in compliance with GMP standards.
  • Integrate structured and unstructured data to uncover trends, deviations, and correlations.
  • Apply statistics, ML, and NLP models to enhance quality monitoring and deviation tracking.
  • Support investigations, change controls, and CAPA processes through quantitative root cause analysis and predictive modeling.
  • Collaborate across technical and non-technical teams to drive continuous improvement.


What we’re looking for

  • MSc in Pharmaceutical Science, Data Science, Engineering, Mathematics, Chemistry, Computer Science, or related field.
  • 2+ years in a GMP-regulated manufacturing or quality analytics environment.
  • Strong experience in PQR/APR/QRR reporting and compliance documentation.
  • Proficiency in Python, SQL, C++, and tools like Minitab, Tableau, Power BI.
  • Knowledge of ML/NLP frameworks (scikit-learn, TensorFlow, spaCy, LLM-based tools).
  • Fluent in English; additional languages are a plus.


Why join us?

At Prothya Biosolutions, you’ll be part of a team that values innovation, collaboration, and continuous learning. This is your chance to make an impact in a dynamic environment where data meets compliance.


👉 Apply now and help us shape the future of pharmaceutical manufacturing!

Key Skills

Ranked by relevance

machine learning tensorflow tableau sql
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Posted
Nov 17, 2025
Type
Full-time
Level
Associate
Location
Neder-Over-Heembeek

Industries

Pharmaceutical Manufacturing

Categories

Production

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