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Data Integration Expert, EU

InSite is an innovative platform that enables the trustworthy re-use of Electronic Health Records (EHR) data for research. InSite facilitates the collaboration between clinicians and researchers and aims to maximize the output of clinical research through new technology.

InSite is supported by a community of clinical sites that want to maximise their involvement in clinical research with academic and industry research organisations.

Recently, Insite united with TriNetX is a Global Health Research Network for Healthcare Organizations (HCOs), BioPharma & CROs, located in the Greater Boston area. With our global team, we enable healthcare organizations, biopharma, and contract research organizations to collaborate, enhance trial design, accelerate recruitment, and conduct clinical research to bring new therapies to market faster by way of analyzing and interpreting health data.

As a Hospital Data Integration Expert, you are part of a multidisciplinary team based out of our office in Sint-Martens-Latem near Ghent that develops methodologies and tooling for the extraction, aggregation, quality control and improvement of clinical data and set up of data warehouses (clinical intelligence) in medical environments.

You are responsible for the integration, cleansing and validation of clinical data sets in various hospital systems that you ultimately transform into a uniform clinical model. You will also assist in building a generic ETL pipeline where automation is key.

You are accurate, reliable and able to take lead over a project, follow-up from start to finish and act proactively to ensure smooth integration. You communicate direct and professionally with customers


  • A Bachelor’s degree, Master’s degree a plus, preferably in engineering or life sciences
  • A passion for data extraction, and aggregating diverse data sets and data mapping
  • Basic knowledge of programming or scripting languages, for example:
    • Basic knowledge of Java and/or C/C++
  • Exposure to scripting languages (Groovy, Python)
  • Practical experience with RDBMS systems and SQL (e.g. Postgresql)
  • Proficiency in English, both written and verbal are a definite asset. Other languages are a plus.
  • Affinity with the life sciences and interest in further developing your domain knowledge about clinical data and real-world evidence.
  • Up to 20% international travel
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