Site Name: USA - Pennsylvania - Upper Providence
Posted Date: Aug 26 2024
Job Title: Director Digital Biomarkers and Analytics
The Director Digital Biomarkers and Analytics is responsible for developing a "fit for purpose" Digital Endpoint strategy to enable GSK’s portfolio with data-driven decision making. This includes 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 also involves working closely with the Head of Digital Biomarkers in implementing the digital biomarker roadmap for priority disease areas.
Strategic Objectives
Strategic:
- Strategic partnership with internal stakeholders, external experts, and organizations to advance the acceptance of Digital Biomarkers.
- Work with Senior Leaders from multiple departments (Digital Health, Regulatory Affairs, Biostat, Clinical Sciences, Clinical Operations, R&D Tech, and other relevant functions) to propose, influence, select, and implement the right digital measures that are aligned with organizational priorities and the Integrated Evidence Plans.
Technical:
- Experience developing machine learning or deep learning models, signal processing algorithms, and modeling specific human functions, behavioral or physiological characteristics from digital measures or digital health data to gain insights about the disease.
- Prepare proof-of-concept, demo/prototypes, design and execute pilot studies with mobile sensors.
- Lead a team with proactive, hands-on leadership and real-time feedback and coaching. Develop talent and grow the capabilities of the team.
- Lead the Concept Elicitation, User Validation, Analytical Validation, and Clinical Validation of fit-for-purpose digital measures/endpoints.
Key Responsibilities
- [Delivery]: Responsible for supporting multiple concurrent digital clinical studies (global presence) across GSK Disease Areas.
- [Team leadership]: Work in a matrix environment and co-lead a sub-team of digital data scientists ensuring the most innovative AI/ML and robust mathematical approaches are utilized to analyze and interpret the digital data.
- [Regulatory]: Contribute to GSK regulatory strategy to ensure the technology and digital measures developed can enable valid ‘primary/secondary endpoints’ in therapeutic clinical studies. Be a leader in embedding regulatory-grade digital endpoints into development programs.
- [Innovation]: Identify and guide external initiatives (academic and public-private partnerships) to accelerate development and uptake of digital solutions by the wider healthcare community.
Basic Qualifications
- PhD in Computer Science, Biomedical Engineering, Electrical Engineering, Mathematics, health, or biological sciences; or alternatively, M.D. with equivalent experience, or a combination of education, training, and experience.
- 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.
- Demonstrable knowledge and experience in Image Processing, Machine Learning, Signal Processing, and their applications on mobile sensor data collected from wearables.
- Strong interpersonal and collaboration skills, ability to present complex information understandably and compellingly, and comfortable working with multi-disciplinary teams.
- Good understanding of human physiology and non-invasive sensors used to measure digital biomarkers for health and behavior monitoring.
- Understanding of human factors, user research, usability, and ensuring that biomarkers provide clear and unique insights and value.
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Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.
Why GSK?
Uniting science, technology, and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology, and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organization where people can thrive. We prevent and treat disease with vaccines, specialty, and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/immunology, and oncology).
Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged, and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.
If you require accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US).
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.
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