Data Engineer (Aws) · Hybrid Remote

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.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-enabledment skills that can be applied to COA research and technology-enabled offerings.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 IQVIA’s 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.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 platform’s 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.Implement hybrid retrieval approaches combining semantic search, keyword search, structured database queries, and metadata filtering.Implement data quality controls to identify incomplete, outdated, duplicated, poorly parsed, incorrectly tagged, or otherwise unreliable content.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.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.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.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.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.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.IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries.We create connections that accelerate the development and commercialization of innovative medical treatments.Everything we do is part of a journey to improve patient outcomes and population health worldwide.To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact.

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. 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.

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. 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. 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. 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. IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide. To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact.