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RWE Data Analyst

Job description

For a fast-growing scale-up company, we’re searching for a RWE Data Analyst.    The company is backed by top-tier venture capitalist investors offering a state-of-the-art big data & AI platform to hospitals. The platform enables hospitals to mine their legacy data and unlock these to improve clinical outcomes (value-based healthcare) and make real-world data accessible for life sciences research. The company collaborates with leading hospitals and life sciences companies throughout Europe and the US to streamline clinical insight generation from their ever-increasing wealth of data sources.


As a RWE Data Analyst, you will work in an Operations team of 15+ clinical data experts to successfully deliver projects. You'll be delivering Real World Evidence (RWE) reports to Life Sciences customers and hospitals in collaboration with boutique epidemiology/health economics agencies including:

  • Build best-in-class queries and query libraries to extract, clean, manage, and analyze clinical data warehouses for health outcomes research
  • Translate the study design into algorithms to extract, analyze and report secondary data for research reports or interactive data visualization tools.
  • Train external agencies to deliver end-to-end research reports
  • Communicate with life sciences companies about the scope, the process and the output
  • Prepare trainings for hospital BI departments to transform their database into clinical insights
  • Support in the set-up of an infrastructure to deliver Real World Evidence reports at scale (standardised BI architecture, standard reports)
  • Steer and support process improvements in a variety of areas such as analytical libraries and database aggregations. This includes developing and deploying scripts that drive the automatization and scalability of our operational processes
  • Collaborate with our R&D teams (NLP engineers, data engineers) and medical terminology teams



  • 5+ years of analytics experience and proven technical abilities with data manipulation, analysis and visualization including R, SQL or other technical relevant packages
  • Having a medically-related degree, epidemiologic background or experience working with medical data
  • Experience with GIT
  • Positive attitude, team spirit, analytic mindset, problem-solving skills, eye-for-detail
  • Project management, self-starting, adaptability, enthusiastic
  • An eye for customer-excellence, spirit of accountability, professionality towards clients
  • Languages: English (required), French or Dutch (1 of the 2)


  • Experience with Spark (Databricks)
  • Experience with Python
  • Experience with BI tools (e.g. MS PowerBI)
  • Knowledge of medical ontology libraries (e.g. UMLS, Athena, …) and OMOP CDM
  • Understanding of cloud storage and cloud computing


  • You will work in a fast-growing clinical data & analytics company based in Leuven (Belgium), where initiative is valued and personal/professional growth is supported
  • You will be part of a young team of 50+ colleagues, consisting of a mix of clinicians and data scientists, and work on challenging projects together with physicians and pharmaceutical companies
  • You will work in a company which recently completed a robust Series A funding round
  • As we are a young company, you will have the possibility to help shape the company’s future
  • Attractive salary package, incl. extralegal benefits such as a mobility budget, hospitalization insurance, group insurance, meal-vouchers, net cost-allowance, reimbursement of mobile telco subscription, and your own company laptop
  • Hybrid working; partly in the office and partly work-from-home
  • Trainings & seminars with your team


Executive search


Minimum 5 years


University Degree


Dutch, English, French





Job Type


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