Associate Director of Wearable Sensor Technology at GSK managing the design and integration of digital sensor technologies into clinical programs. Collaborating with cross-functional teams to deliver validated wearable solutions.
Responsibilities
Lead the selection, design, and integration of wearable and ambient sensors and devices (e.g., PPG, ECG, accelerometry, IMUs, EMG, EEG, bioimpedance, temperature, sweat chemistry, environmental sensors)
Develop and optimize sensor configurations, placement strategies, sampling protocols, and signal quality architectures
Oversee prototyping, bench testing, and hardware validation activities
Provide input to signal processing pipelines for noise reduction, artifact removal, feature extraction, and real‑time analytics
Partner with data science teams to develop algorithms for physiological measurement, digital biomarkers, or activity classification
Evaluate sensor performance using statistical, biomechanical, and physiological validation frameworks
Critically assess and contribute to system‑level design considerations, including sensor signal conditioning and sampling, power management strategies, connectivity, on‑device computing, and cloud integration architectures
Assess manufacturability, longevity and ergonomics
Design validation studies following FDA, EMA, or MDR-aligned frameworks, including GCP/GCLP where applicable
Collaborate with clinical teams to ensure that systems have adequate usability, reliability, repeatability, and suitability for the intended endpoints
Drive documentation for verification, validation, compliance, and quality systems
Partner with UX and product teams to create user‑centric wearable experiences
Communicate technical findings clearly to non‑technical audiences and executive stakeholders
Evaluate vendor offerings, academic partnerships, and emerging wearable technologies.
Requirements
Master’s degree in a relevant scientific discipline (e.g., biomedical engineering, electronic engineering, physics, etc)
5+ years of progressive experience in pharmaceutical R&D, biotech, digital health, or a relevant contract research organisation (CRO) with a focus on digital health technologies for clinical research
Experience with a broad range of digital sensing technologies (e.g. Accelerometers, gyroscopes, inertial MEMS, PPG, ExG, thermal, acoustic, pressure, chemical and biochemical sensors), with a strong understanding of associated signal conditioning requirements and underlying signal characteristics
Experience in the development, validation, and implementation of digital health technologies for clinical research and/or real-world evidence generation
Experience with signal processing, advanced analytics, machine learning, and artificial intelligence applied to digital health data
Regulatory experience related to digital health technologies and guidances
Published peer-reviewed articles and/or presented at major scientific conferences in the field of digital measures, COA, or related areas.
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