Data Engineer - Pharma R&D

About the role

The Data Engineer – Clinical Study Design sits at the intersection of data architecture, clinical science, and technology delivery, helping build the data foundation behind Study Designer, a digital product transforming how studies are designed.

What you'll do

• Build ingestion pipelines for clinical trial protocols, ICF documents, SmPCs, CSRs, and published articles (PubMed, CTIS, ClinicalTrials.gov) - handling PDF parsing
• Design and implement data models in Amazon Aurora (relational) and GraphDB (knowledge graph) to represent trial design entities: endpoints, eligibility criteria
• Develop embedding and vectorization pipelines to prepare extracted clinical text for RAG-based retrieval in LangGraph agentic workflows - chunking strategies
• Build and maintain ETL/ELT workflows that transform unstructured clinical content into queryable, linked data across both relational and graph stores
• Implement data quality validation specific to clinical data - protocol section classification accuracy, entity extraction completeness

What you need

• 5–8 years in data science & ai
• SQL
• Python
• Machine learning
• ETL
• AWS
• NLP
• B.Sc or B.Tech or B.E. or BCA

Good to have

• Spark
• Databricks
• Airflow
• FastAPI
• PostgreSQL
• Terraform