1 day ago
Athens, GreeceStaff+
Responsibilities
- Serve as the primary technical expert for AI/ML algorithms and computational biomarker development.
- Design, develop, implement, and optimize algorithms that transform multimodal sensor, wearable, mobile, physiological, behavioral, and contextual data into digital measurements.
- Lead advanced modeling approaches including deep learning, representation learning, personalization, and other AI/ML methodologies.
- Optimize algorithmic performance, reliability, scalability, and efficiency on large-scale multimodal datasets.
- Evaluate modeling alternatives and communicate scientific and technical trade-offs.
- Establish standards for algorithm development, reproducibility, validation, documentation, and technical quality.
- Lead and mentor scientists and ML engineers on modeling, system design, and AI/ML challenges.
- Partner with platform, software engineering, and MLOps teams to deliver production-ready, scalable, and maintainable solutions.
- Contribute to computational biomarker methodology development, scientific publications, technology reviews, industry discussions, and external research collaborations.
Requirements
- 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 record of developing scientifically rigorous, reproducible, and production-ready AI/ML solutions from research through deployment.
- Experience optimizing algorithms 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 for explaining technical concepts and modeling trade-offs to technical and non-technical stakeholders.
- Strong publication record and recognized expertise in applied AI/ML, computational modeling, or digital health technologies are preferred.
- Experience with healthcare, biosignals, wearable devices, digital biomarkers, or regulated environments is strongly advantageous.
Categories
About IQVIA
IQVIA provides clinical research services, healthcare data analytics, and technology platforms to pharmaceutical, biotech, medical device, and healthcare organizations. It sells contracted R&D and commercialization services, software, and data subscriptions that help run trials, generate real-world evidence, and guide go-to-market decisions. Formed by the merger of Quintiles and IMS Health, the company is headquartered in Durham, North Carolina and is publicly traded on the NYSE (ticker: IQV).