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Digital Biomarkers and Analytics Director

1 month ago

London, Greater London, United Kingdom GSK Full time
Job Title: Director, Data Analytics, and Digital Biomarkers

At GSK, we are committed to uniting science, technology, and talent to get ahead of disease together. We are seeking a highly skilled and experienced Director, Data Analytics, and Digital Biomarkers to join our team.

About the Role:

The Director, Data Analytics, and Digital Biomarkers will be responsible for developing and implementing a digital biomarker strategy to enable GSK's portfolio with data-driven decision making. This will involve 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 will also involve working closely with the Head of Digital Biomarkers to implement the digital biomarker roadmap for priority disease areas. This will require strong collaboration with internal stakeholders, external experts, and organizations to advance the acceptance of digital biomarkers.

Key Responsibilities:
  • Develop and implement a digital biomarker strategy to enable GSK's portfolio with data-driven decision making.
  • Develop machine learning models to identify the right digital measures/endpoints that correlate to the severity of the disease.
  • Work closely with the Head of Digital Biomarkers to implement the digital biomarker roadmap for priority disease areas.
  • Collaborate with internal stakeholders, external experts, and organizations to advance the acceptance of digital biomarkers.
Requirements:
  • PhD in Computer Science, Biomedical Engineering, Electrical Engineering, Mathematics, health, or biological sciences.
  • 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.
  • Hands-on programming languages such as Python and R, and data analysis tools such as Tableau.
Preferred Qualifications:
  • Strong problem-solving and analytical skills, with the ability to identify and mitigate risks associated with AI and ML solutions for digital endpoints.
  • Ability to create visualizations from sample wearable/device data to show the art of the possibility.
  • Excellent senior stakeholder management.
  • Excellent communication skills, with the ability to communicate technical information to non-technical stakeholders.

GSK is an Equal Opportunity Employer and, in the US, we adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status, or any other federal, state, or local protected class.