Veramed

Data Engineer

• Develop data processes for automated ongoing generation of patient-level data products for dashboards, reports, and studies
• Manipulate datasets onboarded from data vendors and partners into usable structures for RWE studies, dashboards, and other outputs
• Transform heterogeneous healthcare datasets into reusable data models for observational research and epidemiology studies
• Convert bespoke datasets to OMOP format where appropriate and account for residual data that cannot be converted
• Build FAIR data pipelines and semantic data engineering frameworks
• Create AI-ready datasets supporting generative AI use cases
• Engage with epidemiologists, statisticians, market access and health economists to scope requirements and translate needs into actionable data structures
• Collaborate with the RWE programming team to build data structures and support study outputs
• Liaise with IT to ensure inbound datasets are fit for agreed purposes
• Liaise with technical staff from analysis software vendors such as Databricks
• Maintain documentation of data flows, schemas, pipelines, and processes
• Design and perform data validation and monitoring to ensure accuracy and reliability
• Troubleshoot data loading, extraction, and transformation issues
• Collaborate with three other Data Engineering team members and provide workload support as needed

Principal Data Engineer – RWE