Data Engineer (Real World Data & OMOP harmonisation experience)

About the job

Your Areas of Responsibilities:

• Work through our customer's entire data ecosystem to understand their needs and where to find and collect that information
• Build data wrangling program with Databricks and statistical models based on clinical and Real World Evidence data.
• Transform data in defined standards using controlled terminologies
• Support the evaluation of the designed models and present results through data visualization

Your Qualification and Experience:

• University Degree in Statistics, Biology, Computer Science, Bioinformatics, etc.
• 3 - 5 years of relevant work experience in Data Science within Life Sciences R&D domain
• Good understanding and work exposure with Databricks
• Experience in data wrangling, modelling, integrating and comparing a wide range of clinical data types
• Hands-on experience with real-world data (e.g., UKBB, CPRD, claims, registries)
• Strong knowledge of the OMOP data model and mapping RWD to OMOP
• Proven ability to transform data into fixed models and apply internal/external controlled terminologies
• Databricks expertise, including code optimization and workspace configuration for efficient pipelines
• Azure DevOps (ADO) experience, including preparing pipeline releases to Databricks
• Demonstrated experience working in regulated environments (e.g., pharma) — built experience with compliance and documentation expectations
• Preferable: experience with CDISC clinical data standards and models
• Willingness to travel to customer offices quarterly; 3–5 days onsite for onboarding preferred.
• Work well within a team and collaborate with individuals with technical and non-technical backgrounds
• Strong communication skills, both verbal and written
• Work exposure within an international environment in life sciences field
• Fluent in English (in writing and speaking), German or French would be an advantage

Data Engineer with experience in Real World Data & OMOP harmonisation