Postdoctoral Researcher in Biomedical Discovery Science

Maastricht University
Maastricht, Limburg, Netherlands
Job Type:
  • Postdoctoral
Degree Level Required:
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Postdoctoral Researcher in Biomedical Discovery Science

he Institute of Data Science at Maastricht University, a collaborative environment for multi-disciplinary data science research, interdisciplinary training, and data-driven innovation, is seeking applications for a Postdoctoral researcher in Biomedical Discovery Science position. Your research will focus on selected topics in the following areas:

  • drug discovery, personalised medicine, or the learning healthcare system
  • building and mining knowledge graphs from structured and unstructured data sources
  • developing intelligent methods for large scale data integration and data summarization
  • machine-assisted curation and text mining

Key benefits include:

  • a vibrant, international, and interdisciplinary environment with data scientists, software developers, ethicists, legal scholars working in the fields of biomedicine, neuroscience, law, and social science
  • exceptional opportunities for international team science and data-driven innovation
  • Access to Maastricht University’s Data Science Research Infrastructure, a Kubernetes-based CPU and GPU cluster
  • Conveniently located in the heart of western europe
  • A competitive salary with generous benefits
  • Outstanding workplace environment with state-of-the-art equipment


You will be responsible to:

  • Develop specifications, methods, frameworks, and applications in computational knowledge discovery with applications in biomedicine.
  • Participate in and lead externally funded research projects
  • Collaborate with researchers inside and out of the Institute
  • Supervise undergraduate, masters and PhD students
  • Be involved in teaching at the undergraduate and graduate levels


  • PhD in Bioinformatics, Biomedical Informatics, Data Science, Computer Science or related area
  • Research experience and technical virtuosity exemplified by a publication record in at least two of the following areas:
  • formal knowledge representation, ontologies, knowledge graphs
  • machine learning / deep learning
  • semantic web technologies
  • Programming skills, preferably Python or Java, and code versioning using GitHub/GitLab
  • Well versed in biomedicine (drug, genes, protein, phenotypes, interactions, etc)
  • Preferably experience working with biomedical databases (PubMed, DrugBank, CTD, etc)
  • Fluency in English, both oral and written, and scientific writing