Associate Director, AI/ML & Computational Biomarkers

About the role

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 behind the organization's digital measurement capabilities. The role translates digital measurement requirements into robust computational solutions using machine learning, signal processing and statistical modeling on wearable, mobile, physiological, behavioural and other multimodal data. It is the primary technical authority on algorithm design and implementation, ensuring solutions are scalable, scientifically rigorous, reproducible and production-ready.

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 algorithms that turn multimodal sensor, wearable, mobile and behavioural data into digital measurements and computational biomarkers.
• Act as lead architect for advanced modeling approaches such as deep learning, representation learning and personalization.
• Optimize algorithm performance, reliability, scalability and efficiency on large-scale multimodal datasets.
• Evaluate alternative modeling approaches, recommend methodologies and articulate their scientific and technical trade-offs.
• Set standards for algorithm development, reproducibility, validation, documentation and technical quality.
• Lead and mentor scientists and ML engineers on complex modeling challenges and system design.
• Partner with platform and engineering teams so algorithms are production-ready and integrated into enterprise measurement and analytics platforms.
• Contribute to the development and validation of computational biomarker methodologies and to scientific publications, technology reviews and external research collaborations.

Required profile

• PhD in AI, 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.
• Proven track record of delivering reproducible, production-ready AI/ML solutions from research through deployment.
• Experience collaborating with software engineering, platform and MLOps teams.
• Demonstrated technical leadership and mentoring of scientists and engineers.
• Strong communication skills with technical and non-technical stakeholders.
• A strong publication record and experience in healthcare, biosignals, wearables or regulated environments are a plus.

Required skills

• Machine learning and statistical modeling
• Time-series analysis and signal processing
• Multimodal data integration

What we offer

• Base pay range of EUR 52,500 to EUR 89,300 per year, depending on qualifications, location and schedule.
• Possible incentive plans, bonuses and other benefits depending on the position offered.