Databricks MLOps / Data Engineer – Clinical Data & Women's Health
Must have commercially-gained Databrick and AWS previous work experience to:
* Build Data Foundations for Women's Health Innovation
* Operationalise data-driven care models that transform women's health journeys.
* Design and maintain production-grade data/ML pipelines powering precision medicine solutions at the intersection of genomics, AI, and clinical care.
Required Expertise
* Production experience with Databricks and Lakehouse architecture
* Strong Python/PySpark and AWS (S3, data science tools)
* Track record in scalable data engineering and MLOps
* Product delivery with compliance/deadline focus
* Ability to deliver robust solutions in regulated environments
Key Responsibilities
* Build and optimise Databricks-based data pipelines in AWS
* Implement MLOps frameworks for automated model training/deployment
* Develop scalable Lakehouse solutions with PySpark/SQL
* Ensure compliant delivery of healthcare solutions (SaMD training provided)
* Collaborate with clinicians and researchers on cross-functional projects
APPLY NOW:
* Help guide a dedicated innovation arm within a global healthcare group
* Develop data-driven tools that advance women's health globally
* Make tangible impacts in reproductive and women's health
* Work with leading experts in AI, genomics, and precision medicine
* Build and run programs that redefine care pathways, creating new models across fertility (IVF) and beyond