Job type: Voltijds

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Job content

Our platform DISQOVER builds intelligent links between private, third-party, and public data sources democratizing access to all your data. Our customers are research-intensive organizations, in the fields of life sciences, healthcare, and beyond: pharmaceutical multinationals, small-to-medium biotech companies, academic institutes...

Together with the DISQOVER platform, our customers get access to our public data containing publications, patents, diseases, genes, proteins... We transform siloed data sources available on the Internet into one big uniform knowledge graph that our users (scientists, researchers, clinicians…) then use to find new insights.

Together with your team of data scientists, you figure out for the high-level use cases we want to solve (e.g., around Target Identification, Competitive Analysis…), how our data offering could contribute to solving our customer’s data challenges in their drug development life cycle. Once the what is defined, you then work with the team to make it happen by modelling the data, building the pipelines, providing the necessary quality checks...

Responsibilities

  • You work closely with our life science customers to understand how public data could help solve the data challenges they have.
  • You implement the ETL and semantic integration of new data sources in DISQOVER using semantic web technologies.
  • You identify the best path forward to integrate structured and semi-structured data.
  • You collaborate closely with the software architects, other team members and customers to ensure up-to-date technical knowledge for yourself and the team.

The ideal candidate...

  • has a degree with strong scientific background in bioinformatics, computational biology, or a similar discipline.
  • has a strong understanding of the different phases and the data challenges in the drug development life cycle starting from early R&D, over preclinical to the clinical trial phases...
  • has excellent communication skills (written, oral and non-verbal communication) in English and a customer service compass
  • is a team player and has the ability to work autonomously
  • has a strong experience and interest in data management, data modelling, Python, graph-based technologies, databases, data mining, semantic web, linked data, Unix OS
  • has a strong experience and interest in AI, machine learning, natural language processing

Job Type: Full-time

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Deadline: 31-12-2025

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