Agentic AI, Data Engineer COA Accelerator

IQVIA provides scientific services spanning clinical trials real world evidence and consulting in all areas of the product lifecycle. Our Clinical Outcomes Assessments (COAs) organisation leads the industry in generating data to ensure that the patient voice is incorporated into the development and commercialisation of medication and other drug/non-drug interventions.

We focus on understanding and meeting the needs of our clients mostly life science/pharmaceutical companies through the application of broad consulting expertise and technical scientific knowledge to conduct scientifically rigorous research. This research is broad and includes qualitative quantitative and passive approaches to understand patient caregiver and healthcare professional experiences and expectations of disease and treatment.

The COA Accelerator ecosystem is expanding its AI-enabled capabilities to help internal teams and external clients generate evidence-backed COA strategy recommendations. These capabilities depend on high-quality traceable well-governed AI-ready data assets spanning COA instrument information psychometric evidence regulatory precedent clinical trial records scientific publications internal consulting deliverables and related sources. The Data Engineer will play a critical role in transforming fragmented clinical regulatory scientific and proprietary content into structured searchable and secure knowledge assets that power AI-enabled COA strategy workflows.

To meet our client expectations and retain the excellent reputation built up over time the IQVIA COAs team is committed to recruiting training and supporting driven individuals who have life science consulting product development data engineering and/or AI-enablement skills that can be applied to COA research and technology-enabled offerings.

Individuals joining us are assured of a rewarding and progressive career in patient-focused research. Youll have the opportunity to address challenging client issues across multiple geographies with a hands-on influence in developing and delivering innovative solutions. We operate in a truly multi-cultural collegial and collaborative work environment that is rich in development and growth.

• Design build and maintain data infrastructure that supports IQVIAs AI-enabled COA strategy and COA Accelerator capabilities.
• Own the ingestion transformation normalisation enrichment indexing versioning and governance of public proprietary and client-specific data sources.
• Build ingestion pipelines for structured and unstructured sources including PDFs Word documents slide decks spreadsheets databases APIs clinical trial registries regulatory documents scientific publications and internal repositories.
• Transform raw source material into standardised searchable AI-ready formats that support evidence retrieval source citation recommendation generation and expert review workflows.
• Develop repeatable processes for document parsing OCR text extraction metadata enrichment chunking deduplication versioning indexing and quality control.
• Provide technical support to the teams building and maintaining the platforms core knowledge layer including COA instrument metadata instrument versions translations modes of administration usage rights psychometric evidence therapeutic area mappings endpoint usage regulatory precedent and related scientific evidence.
• Support integration of public data sources such as clinical trial registries FDA labels EMA EPARs HTA records scientific literature FDA guidance public qualification documents and other relevant evidence repositories.
• Support ingestion of proprietary internal knowledge publications thought leadership other expert-authored content.
• Prepare data for retrieval-augmented generation workflows through high-quality chunking embeddings indexes metadata filters and source reference structures.
• Collaborate with AI engineers to improve retrieval precision recall relevance and citation accuracy.
• Implement hybrid retrieval approaches combining semantic search keyword search structured database queries and metadata filtering.
• Maintain traceability between AI-generated outputs and source documents.
• Implement data quality controls to identify incomplete outdated duplicated poorly parsed incorrectly tagged or otherwise unreliable content.
• Maintain audit trails for source ingestion transformation updates deletions access rights and downstream use.
• Work with legal security compliance product and domain stakeholders to ensure data use aligns with contractual licensing privacy intellectual property and governance requirements.
• Collaborate across AI Engineering Product COA Science and Software Engineering.

• Degree in computer science data engineering data science information systems bioinformatics computational biology engineering or a related technical field.
• Experience designing building and maintaining data pipelines for structured and unstructured data.
• Strong Python and SQL skills.
• Experience with APIs relational databases document stores search indexes cloud data platforms and ETL/ELT workflows.
• Experience handling large volumes of text-heavy documents such as PDFs slide decks reports publications regulatory files scientific literature or knowledge repositories.
• Strong understanding of data cleaning normalisation metadata management document parsing indexing lineage versioning and auditability.
• Familiarity with data modelling approaches for complex knowledge domains including scientific clinical regulatory or healthcare content.
• Ability to translate domain expert requirements into practical data structures metadata models retrieval-ready content and maintainable pipelines.
• Strong attention to detail and ability to identify data quality issues that could affect AI outputs source traceability or regulatory credibility.
• Ability to collaborate effectively with AI engineers product managers COA scientists software engineers security stakeholders legal teams and commercial teams.
• Strong documentation skills including ability to document data sources transformations lineage access rules data quality checks and known limitations.

• Experience in life sciences clinical research healthcare regulatory data scientific publishing HEOR clinical outcome assessments patient-reported outcomes or medical evidence management is strongly preferred.
• Experience with clinical trial registries regulatory labels HTA reports scientific literature databases medical knowledge repositories or similar evidence sources.
• Experience with vector databases embeddings semantic search Elasticsearch/OpenSearch Azure AI Search Pinecone Weaviate Milvus Qdrant or similar technologies.
• Experience with cloud data platforms such as Azure AWS or GCP.
• Experience with document AI OCR layout-aware parsing table extraction metadata enrichment taxonomy development or controlled vocabularies is desirable.
• Familiarity with ontology development biomedical terminologies controlled vocabularies evidence classification and structured knowledge representation.
• Understanding of GDPR data privacy intellectual property constraints licensed content confidential client data access control and secure data handling.
• Ability to work independently in a remote or hybrid environment while collaborating across global teams.
• Significant experience leveraging AI tools for work.
• Fluency in English.

IQVIA is a leading global provider of clinical research services commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at .

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements misrepresentations or material omissions during the recruitment process will result in immediate disqualification of your application or termination of employment if discovered later in accordance with applicable law. We appreciate your honesty and professionalism.

At IQVIA we believe that diversity inclusion and belonging empower our mission to accelerate innovation for a healthier world. We create a culture of belonging by valuing the perspectives of all talented employees worldwide and providing them with the opportunity to power smarter healthcare for everyone everywhere. When our talented employees bring their authentic selves and their diverse experiences to work they enable us to accomplish extraordinary things. Multifaceted thought processes spark innovation. Multi-talented collaboration harnesses innovation to deliver superior outcomes. Likewise as part of this culture IQVIA is committed to ensuring effective equality between women and men integrating it as a strategic principle in its corporate and human resources policies.