AI Engineer for Clinical Outcomes & COA (Remote)

IQVIA; Barcelona; Presencial; EUR 90.000 - 120.000; Jornada completa

Descripción de la vacante

IQVIA is seeking a senior AI/ML engineer to design and deliver AI-enabled COA capabilities across global teams. You will drive strategy generation, evidence synthesis, and expert reviews using advanced NLP, embeddings, and model orchestration.

You will collaborate with COA scientists, product managers, data engineers, and security teams to ensure scientific credibility, security, and commercial value in AI-enabled decision support for clinical outcomes assessments.

Formación

• Degree in computer science, machine learning, artificial intelligence, data science, computational linguistics, biomedical informatics, bioinformatics, engineering, or a related technical field.
• Experience building AI, NLP, LLM-powered, or ML applications in production environments.
• Experience with retrieval-augmented generation, embeddings, vector databases, semantic search, prompt engineering, model evaluation, and LLM orchestration.
• Strong Python skills and familiarity with modern AI/ML frameworks, APIs, testing practices, version control, and deployment workflows.
• Experience with unstructured scientific, clinical, regulatory, healthcare, or research data.
• Ability to translate expert reasoning into technical implementation with nuanced domain logic.
• Strong AI output quality risk awareness (hallucination, grounding, etc.).
• Ability to collaborate with diverse teams including COA scientists and product teams.

Responsabilidades

• Design, develop, and optimise AI capabilities that support COA strategy generation, evidence synthesis, recommendation development, and expert review workflows.
• Own the technical implementation of AI reasoning, retrieval-augmented generation, model orchestration, prompt architecture, evaluation pipelines, and domain adaptation for COA-related use cases.
• Build AI workflows that can interpret therapy area, indication, target product profile, study phase, endpoint objectives, target population, regulatory context, and trial design considerations.
• Develop AI capabilities that generate structured, evidence-backed COA strategy recommendations, including instruments, endpoints, rationale, evidence gaps, and source material.
• Design and optimise retrieval pipelines across COA libraries, literature, regulatory labels, HTA documents, trial records, and internal outputs.
• Implement semantic/hybrid search, metadata filtering, reranking, source attribution, and citation-supporting workflows.
• Evaluate when to use foundation models, fine-tuned models, smaller specialist models, embeddings, rerankers, or hybrid approaches.
• Create mechanisms to distinguish strong vs weak evidence and areas needing expert judgement.
• Establish model evaluation frameworks for factuality, retrieval relevance, citation accuracy, and governance.

Conocimientos

AI development

NLP & LLM

Python

retrieval augmented generation

model evaluation

data analysis

documented governance

Educación

CS/AI/Data Science degree

Herramientas

LangChain

Vector databases

Azure/AWS/GCP

Descripción del empleo

IQVIA is seeking a senior AI/ML engineer to design and deliver AI-enabled COA capabilities across global teams. You will drive strategy generation, evidence synthesis, and expert reviews using advanced NLP, embeddings, and model orchestration.

You will collaborate with COA scientists, product managers, data engineers, and security teams to ensure scientific credibility, security, and commercial value in AI-enabled decision support for clinical outcomes assessments.