Associate Director, Sensor Technology

Role Overview

• 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.

Tech Stack

• Cloud
• Google Cloud Platform

Benefits

• Health insurance
• 401(k) matching
• Flexible work arrangements
• Paid time off
• Professional development opportunities