Associate Director, AI/ML & Computational Biomarkers

Role Focus

Scientific and technical leadership in AI/ML algorithms, computational biomarkers, and model-development standards for digital measurement products.

The Associate Director, AI/ML & Computational Biomarkers is the senior technical expert responsible for the design, development, implementation, and technical quality of the AI/ML algorithms that power the organization's digital measurement capabilities.

This role translates digital measurement requirements into robust computational solutions, leveraging advanced machine learning, signal processing, and statistical modeling techniques to derive measurements from wearable, mobile, physiological, behavioral, and other multimodal data sources.

The role serves as the primary technical authority on algorithm design and implementation, ensuring that computational approaches are scalable, scientifically rigorous, reproducible, and suitable for deployment within production environments. The role provides deep expertise on modeling approaches, algorithmic design, and implementation strategies.

The Associate Director, AI/ML & Computational Biomarkers evaluates alternative technical solutions, recommends methodologies based on scientific and technical considerations, and drives the design and implementation of robust algorithmic solutions that support the organization's digital measurement objectives.

• Serve as the primary technical expert for AI/ML algorithms and computational biomarker development across the digital measurement platform.
• Design, develop, implement, and optimize AI/ML algorithms that transform multimodal sensor, wearable, mobile, and behavioral data into robust digital measurements and computational biomarkers.
• Act as the lead architect for advanced modeling approaches, including deep learning, representation learning, personalization, and other novel AI/ML methodologies.
• Optimize algorithmic performance, reliability, scalability, and efficiency on large-scale multimodal datasets, including wearable, mobile, physiological, behavioral, and contextual data.
• Evaluate alternative modeling approaches, provide technical recommendations, and articulate the scientific and technical trade-offs associated with different methodologies.
• Establish and maintain high standards for algorithm development, reproducibility, validation, documentation, and technical quality.
• Lead and mentor scientists and ML engineers on complex modeling challenges, system design decisions, and advanced AI/ML methodologies.
• Partner with platform and engineering teams to ensure algorithms are production-ready, scalable, maintainable, and seamlessly integrated into enterprise measurement and analytics platforms.
• Contribute technical expertise to the development and validation of novel computational biomarker methodologies and digital measurement capabilities.
• Contribute to and represent the organization in scientific publications, technology reviews, industry discussions, and external research collaborations related to AI/ML, computational biomarkers, and digital measurement technologies.

Strategic Importance

This role provides the technical leadership and AI/ML expertise required to develop robust, scalable, and production-ready computational biomarker solutions. It is critical to transform complex multimodal data into reliable digital measurements and ensure that the organization's digital measurement platform can continue to evolve through scientifically rigorous and technically sound algorithmic innovation.

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.