Data Analytics Director

1 month ago

London, Greater London, United Kingdom GSK Full time
Job Description

The Director of Digital Health Solutions will be responsible for developing a comprehensive digital endpoint strategy to enable GSK's portfolio with data-driven decision making. This involves developing machine learning models to identify the right digital measures/endpoints that correlate to the severity of the disease by analyzing digital biomarker data from sensors, wearables, and relevant historical health data.

The role requires strategic partnership with internal stakeholders, external experts, and organizations to advance the acceptance of digital biomarkers. The Director will work closely with the Head of Digital Biomarkers to implement the digital biomarker roadmap for priority disease areas.

The key responsibilities of this role include:
  • Supporting multiple concurrent digital clinical studies across GSK disease areas.
  • Leading a sub-team of digital data scientists to analyze and interpret digital data using AI/ML and robust mathematical approaches.
  • Contributing to GSK's regulatory strategy to ensure the technology and digital measures developed can enable valid primary/secondary endpoints in therapeutic clinical studies.
  • Identifying and guiding external initiatives to accelerate the development and uptake of digital solutions by the wider healthcare community.

Requirements

The ideal candidate will have a PhD in Computer Science, Biomedical Engineering, Electrical Engineering, Mathematics, health, or biological sciences, or an M.D. with equivalent experience. They will have 10+ years of experience in designing, conducting, and leading biomarker research leveraging wearable devices, health/medical devices, and EHR/EMR health data, and conducting clinical studies. The candidate should have hands-on experience with programming languages such as Python and R, and data analysis tools such as Tableau.

The preferred qualifications include strong problem-solving and analytical skills, with the ability to identify and mitigate risks associated with AI and ML solutions for digital endpoints. The candidate should be able to create visualizations from sample wearable/device data to show the art of the possibility. Excellent senior stakeholder management and communication skills are also required. The ideal candidate will have demonstrable knowledge and experience in Image Processing, Machine Learning, Signal Processing, and their applications on mobile sensor data collected from wearables.

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