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Product Data Scientist

  • Gent, Vlaams Gewest, Belgium
Product Data

Job description


ONTOFORCE is an innovative company, with HQ in Belgium, dedicated to pushing the boundaries of knowledge discovery and data processing. We aim to make complex data analytics user-friendly and performant. Our product, DISQOVER, is a state-of-the-art platform empowering users to navigate and extract insights from an extensive and complex knowledge graph spanning terabytes of data.

Our customers are research-intensive organizations in life sciences and healthcare: from pharmaceutical multinationals to small-to-medium biotech companies, academic institutes, and hospitals.

We’re looking for a Product Data Scientist to join our Product Data team. As a Product Data Scientist, you'll play a vital role in enhancing our knowledge graphs and DISQOVER platform.


  • You work on different use cases (like Target Identification, Competitive Analysis...) to determine how our data offerings can address our customers' data challenges throughout the drug development life cycle.
  • You support our data projects by data modeling, pipeline development, quality assurance, and more.
  • Implement ETL (Extract, Transform, Load) processes and semantic integration of new data sources into DISQOVER using semantic web technologies.
  • You identify optimal strategies for integrating structured and semi-structured data.
  • Write technical documentation on the data integration process.
  • Develop plugins to complement data visualization or data extraction.
  • Investigate, analyze and implement new public data sources.
  • Stay up to date on technical knowledge and provide your insights to optimize our public data offering.
  • Collaborate with team members of the Product Data team and the Solution Enablement team on customer projects.

Job requirements

Our ideal colleague ...

  • Holds a degree with a scientific background in  life sciences, bioinformatics, computational biology, or similar disciplines.
  • Demonstrates a solid understanding of the various phases and data challenges in the drug development life cycle, from early R&D to clinical trials.
  • Has excellent communication skills in English, both written and verbal, and exhibits a strong customer service orientation.
  • Is a collaborative team player with the ability to work independently.
  • Has programing skills in python.
  • Has a keen interest in data management, data modeling, graph-based technologies, databases, data mining, semantic web, linked data, and Unix OS.

Making a difference through our values

  • We are one ONTOFORCE - We're united as one team working together to achieve, because the greatest splash is made with the greatest force.
  • Your trusted partner - Through our innovative solutions and trusted team of experts, we support our customers as they carry out their science-driven missions.
  • Let's go! - It's amazing what a can-do-attitude can do. We believe in fostering an entrepreneurial environment where everyone feels empowered to take initiative and make a difference.
  • Free to be you - Respect and trust are foundational in everything we do: we respect everyone as unique individuals and trust each other to make the best decisions for ONTOFORCE.

What we offer:

  • A competitive salary, meal vouchers (€8/day), eco vouchers(€250/year), hospitalization insurance, home working allowance, net expense allowance, and optional bike or car leasing.
  • Challenging Environment: Work with a dynamic team that welcomes challenges and encourages personal and professional growth.
  • Cutting-Edge Product: Contribute to DISQOVER, our groundbreaking product that pushes the boundaries of data-linkage technology.
  • Development Opportunities: Access online learning platforms, like LinkedIn Learning, and benefit from personalized training days to enhance your skills.
  • Generous Leave Policy: Enjoy 32 paid days leave, including 12 compensation days, to maintain a healthy work-life balance.
  • Hybrid Working: Experience flexibility with a balance between remote work and office collaboration.

Join us in shaping the future of data discovery and be part of a team that values creativity, collaboration, and continuous improvement!