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Associate Director, Sensor Technology

Job in Upper Providence Township, Delaware County, Pennsylvania, USA
Listing for: GSK
Full Time position
Listed on 2026-02-28
Job specializations:
  • Software Development
    AI Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below
Location: Upper Providence Township

Job Purpose

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 on 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.

Key Responsibilities

Accountable to Head of Digital Measures and COA Methodology, the responsibilities listed below outline the scope of the position. The application of these tasks may vary, based upon evolving business needs.

Sensor Technology
  • 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.
Signal Processing & Algorithm Development
  • 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.
Wearable System Architecture
  • 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.
Clinical, Regulatory, and Validation Support
  • 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.
Cross‑Functional Collaboration
  • 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.
Why You? Basic Qualifications
  • 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.
Preferred Qualifications
  • PhD in a relevant scientific discipline (e.g., biomedical engineering, electronic engineering, physics, etc).
  • Global…
Position Requirements
10+ Years work experience
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