Data Engineer – AI‑Enabled COA Accelerator

About the role

IQVIA is expanding its AI‑enabled Clinical Outcomes Assessments (COA) Accelerator ecosystem. The Data Engineer will transform fragmented clinical, regulatory, scientific and proprietary content into structured, searchable, AI‑ready knowledge assets that power COA strategy workflows.

Key responsibilities

• Design, build and maintain data infrastructure supporting AI‑enabled COA strategy and the COA Accelerator.
• Own ingestion, transformation, enrichment, indexing, versioning and governance of public, proprietary and client‑specific data sources.
• Develop pipelines for structured and unstructured sources (PDFs, Word, slide decks, spreadsheets, APIs, registries, regulatory documents, scientific publications).
• Transform raw material into standardized, searchable formats for evidence retrieval, citation and recommendation generation.
• Implement document parsing, OCR, text extraction, metadata enrichment, chunking, deduplication, versioning and quality‑control processes.
• Collaborate with AI engineers to improve retrieval precision, recall and citation accuracy using hybrid semantic and keyword search.
• Maintain traceability, audit trails and compliance with legal, security and privacy requirements.

Required profile

• Degree in Computer Science, Data Engineering, Data Science, Bioinformatics or a related technical field.
• Proven experience designing and operating data pipelines for both structured and unstructured data.
• Strong Python and SQL expertise.
• Experience with APIs, relational databases, document stores, search indexes and cloud data platforms.
• Ability to handle large volumes of text‑heavy documents and ensure data quality, lineage and auditability.

Required skills

• Python
• SQL
• APIs
• Relational databases (e.g., PostgreSQL, MySQL)
• Document stores (e.g., MongoDB, Couchbase)
• Search indexes (Elasticsearch/OpenSearch, Azure AI Search)
• Cloud platforms (Azure, AWS, GCP)
• ETL/ELT workflows
• OCR and document AI tools
• Vector databases and embeddings (Pinecone, Weaviate, Milvus, Qdrant)