Associate Director, Sensor Technology

GSK•Upper Providence, PA

1d•Hybrid

About The Position

The Associate Director, Wearable Sensor Technology is responsible for the design, evaluation, and integration of advanced digital sensor technologies into GSK’s clinical programs. This role blends technical depth and strategic insight to advance our next generation of wearable solutions across health monitoring, human performance, physiological measurement, and digital biomarker innovation. You will collaborate closely with data scientists, hardware engineers, software developers, clinicians, and product stakeholders to deliver high‑accuracy, validated sensor technologies that are robust, scalable, and regulatory‑ready. This role requires 2-3 days on-site per week average at one of these preferred sites: USA - Collegeville, PA at our Upper Providence Site. UK - GSK Head Quarters. Other arrangements considered on a case by case basis.

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.

Nice To Haves

PhD in a relevant scientific discipline (e.g., biomedical engineering, electronic engineering, physics, etc).
Global experience and a nuanced understanding of international regulatory landscapes for digital health.
Experience with COA methodology, including PRO, ClinRO, and PerfO instrument development, validation, analysis, and interpretation of results.
Experience of navigating the drug development process and regulatory pathways (e.g., IND/NDA/BLA submissions where COA/digital measures are key endpoints).
Experience preparing regulatory submissions related to COA and digital measures (e.g., FDA Q-submissions, briefing books) and participating in regulatory agency meetings (including advisory committee presentations).
An understanding of measurement theory, psychometrics and statistical analysis applied to clinical outcomes.
Scientific Acumen: Deep understanding of biosensing mechanisms, signal characteristics, and measurement science to evaluate, validate, and integrate diverse sensor technologies into clinical programs.
Communication & Influence: Strong written and verbal communication skills, with the ability to translate complex scientific and technical information for diverse audiences (scientific, clinical, regulatory, leadership).
Collaboration & Cross-functional Influence: An ability to build strong relationships, collaborate effectively across functions, and influence without direct authority.
Problem-Solving & Innovation: Analytical and critical thinking skills, with an ability to solve complex problems and drive innovative solutions.
Agile Mindset: Capable of fostering an iterative and learning-oriented team environment.

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.