Pharma AI/ML Engineer for Statistical Production

SP - AI/ML FSP Consultant

Summary of Key Responsibilities

• Design and develop AI-enabled solutions for Statistical Programming, contributing to a scalable, modular, secure, and reusable architecture across multiple studies and use cases.
• Build end-to-end Generative AI and agentic workflows encompassing data and metadata ingestion, retrieval, reasoning, tool use, code generation, execution, validation, and human review.
• Develop RAG and knowledge-driven solutions that integrate organizational standards, metadata, specifications, historical study assets, programming conventions, and other approved knowledge sources.
• Develop modular AI services, APIs, and reusable components, appropriately separating deterministic business rules and standards from probabilistic AI/LLM-based reasoning and generation.
• Implement controls for AI reliability, reproducibility, and quality, including structured inputs/outputs, prompt and model versioning, validation rules, automated evaluation, regression testing, and quality checks of AI-generated artifacts.
• Build traceability and human-in-the-loop capabilities supporting review, approval, feedback, exception handling, audit trails, and lineage from source information and retrieved context through generated outputs.
• Support deployment and LLMOps practices across development, testing, validation, and production environments, including Git/CI/CD, monitoring, logging, model and prompt lifecycle management, security, and performance/cost optimization.
• Collaborate with Statistical Programming, Enterprise Architecture, IT/Cloud, Security, Validation, and Governance teams to transition AI proofs of concept into scalable enterprise solutions while evaluating emerging AI technologies and architectural patterns.
• Other duties as assigned.

Qualifications

• Bachelor’s or master’s degree in computer science, Engineering, Artificial Intelligence, Data Science
• 2+ years of hands-on experience in software engineering, AI/ML engineering, data engineering, or related technical roles, with demonstrated experience building and deploying production-quality applications.
• Hands-on experience developing Generative AI/LLM solutions, with knowledge of RAG, prompt/context engineering, embeddings, vector search, structured outputs, tool/function calling, and agentic AI workflows.
• Strong programming skills in Python and experience with modern software engineering practices, including modular design, APIs, Git, automated testing, CI/CD, and preferably containerized/cloud-based applications.
• Experience working with AWS and familiarity with cloud-based AI/ML services, data storage, security/access controls, logging, and monitoring.
• Understanding of AI reliability and evaluation concepts, including reproducibility, hallucination mitigation, validation, prompt/model versioning, automated evaluation, regression testing, traceability, and human-in-the-loop approaches.
• Strong analytical and problem-solving skills with the ability to work across technical and business teams; experience in pharmaceutical/biotechnology or regulated environments and familiarity with clinical data, Statistical Programming, SAS/R, CDISC/SDTM/ADaM, or GxP principles is preferred but not required.
• Good communication and organizational skills required

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 https://jobs.iqvia.com

IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe

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.