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.

Position Overview

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.

Key Responsibilities

• 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.

Qualifications

• PhD in Artificial Intelligence, Machine Learning, Computer Science, Electrical Engineering, Biomedical Engineering, Applied Mathematics, or a related quantitative discipline.

• 10+ years of experience in AI/ML, computational biomarker development, signal processing, or data-driven health technologies.

• Deep expertise in machine learning, statistical modeling, time-series analysis, signal processing, and multimodal data integration.

• Proven track record of developing scientifically rigorous, reproducible, and production-ready AI/ML solutions from research through deployment.

• Experience optimizing algorithmic performance, reliability, and efficiency on large-scale multimodal datasets, including wearable, mobile, physiological, behavioral, or contextual data.

• Experience collaborating with software engineering, platform, and MLOps teams to deliver production-ready AI/ML solutions.

• Demonstrated ability to provide technical leadership and mentor scientists and engineers on complex modeling, algorithm design, and system architecture challenges.

• Strong communication skills, with the ability to explain advanced technical concepts and modeling trade-offs to both technical and non-technical stakeholders.

• Strong publication record and recognized expertise in applied AI/ML, computational modeling, or digital health technologies are considered a plus.

• Experience working with healthcare, biosignals, wearable devices, digital biomarkers, or regulated environments is considered a strong advantage.

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

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.