Senior Statistician, Discovery Analytics & AI (FSP)

We are seeking a Senior Statistician – Discovery Analytics & AI to join our FSP team supporting a leading global pharmaceutical client. This role offers a unique opportunity to work at the intersection of statistics, biomedical research, data science, and artificial intelligence, contributing to innovative discovery and translational research programs.

The successful candidate will support scientists and statisticians by developing advanced analytical solutions, automating workflows, and helping translate statistical methodologies into AI-enabled tools that accelerate scientific decision-making. This role requires strong programming capabilities in R and/or Python, a passion for solving complex biological research questions, and an interest in emerging AI technologies.

Why IQVIA?

At IQVIA, you'll work alongside industry-leading experts and support groundbreaking pharmaceutical research programs. This role offers the opportunity to apply advanced statistical expertise, modern programming techniques, and emerging AI technologies to accelerate scientific discovery and improve patient outcomes worldwide.

Join IQVIA and help shape the future of Discovery Analytics and AI in Life Sciences.

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 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.

Key Responsibilities

• Collaborate with statisticians, scientists, data scientists, and software engineers to address biological and translational research questions.
• Apply statistical methods to analyze complex biological, biomedical, and omics datasets.
• Develop, maintain, and enhance reproducible analytical workflows using R and/or Python.
• Support the development and implementation of AI-enabled analytical solutions, including AI agents and workflow automation tools.
• Contribute to the translation of analytical workflows into scalable and reusable AI-assisted applications.
• Help integrate statistical methods, code libraries, contextual information, and domain knowledge into modern AI-enabled environments.
• Develop reusable analytics components and frameworks that improve efficiency, scalability, and reproducibility.
• Support the adoption of innovative technologies that enhance data-driven decision-making across discovery research.
• Partner effectively with cross-functional stakeholders to ensure successful delivery of analytical solutions.

Required Qualifications

• MSc or PhD in Statistics, Biostatistics, Mathematics, Data Science, Bioinformatics, Computational Biology, or a related quantitative discipline.
• Strong programming expertise in R and/or Python.
• Experience applying statistical methodologies to biological, biomedical, or scientific datasets.
• Proven ability to develop reproducible and scalable analytical workflows.
• Strong analytical and problem-solving capabilities.
• Ability to quickly learn and apply new technologies.
• Excellent communication and collaboration skills.
• Fluent English, both written and verbal.

Preferred Qualifications

• Experience working with omics, biomedical, translational, or discovery research datasets.
• Knowledge of Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), or knowledge graph technologies.
• Experience with AI-assisted coding environments, coding copilots, context engineering, or agentic workflows.
• Understanding of software development best practices, including version control and code management.
• Experience integrating analytical code or statistical applications into production environments.
• Exposure to workflow automation and advanced analytics platforms.

What We're Looking For

• Strong scientific curiosity and enthusiasm for discovery research.
• Passion for leveraging AI and automation to improve analytical processes.
• Ability to work effectively in multidisciplinary teams.
• A proactive, solution-oriented mindset with a commitment to innovation and continuous improvement.