This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Data Engineer (RWE) based in India.

As a Principal Data Engineer, you will play a key role in building scalable data products that support Real World Evidence (RWE), observational research, epidemiology studies, dashboards, and other analytical outputs. You will transform complex, heterogeneous healthcare datasets into reusable, high-quality data models and pipelines. The role combines advanced data engineering with deep healthcare data expertise, including OMOP standards and clinical terminologies. You will collaborate closely with epidemiologists, statisticians, health economists, market access specialists, IT teams, and other technical stakeholders. You will also contribute to FAIR data principles and the development of AI-ready datasets for emerging generative AI use cases. This is an opportunity to work with large-scale patient-level data in a team-oriented, globally connected data engineering environment.

Accountabilities:




- Develop automated data processes for the ongoing generation of patient-level data products supporting dashboards, reports, studies, and other business needs.
- Transform raw datasets received from data vendors and partners into usable, structured data products for RWE studies, dashboards, and analytical outputs.
- Convert heterogeneous healthcare datasets into reusable data models that support observational research and epidemiology studies.
- Convert bespoke datasets, such as biomarkers and mutation data, into OMOP format where appropriate, while identifying residual data that cannot be standardized and determining how it can still support analysis.
- Build FAIR (Findable, Accessible, Interoperable, Reusable) data pipelines and semantic data engineering frameworks that improve healthcare data discoverability and interoperability.
- Develop AI-ready datasets and data products capable of supporting ge

📌 Principal Data Engineer (India)
🏢 Jobgether
📍 India