Associate Director, Digital Health Innovations - Endpoint Lead

In this pivotal role, you will build and establish scientific excellence in the development of digital biomarkers and endpoints within the Advanced Data Science team in the Data Sciences organization. You will lead the identification, development, and deployment of novel digital endpoints and outcome measures across clinical trials and life cycle management programs. Collaborating closely with the Global Digital Health organization, you will spearhead the design and validation of algorithms that extract clinically relevant insights from diverse digital health data sources, such as wearables, sensors and apps, ensuring scientific rigor, clinical validity, and regulatory readiness.

As a subject matter expert, you will embed digital health technologies within evidence generation strategies, driving their acceptance in clinical trials and practice. You will also contribute to key regulatory filings and publications, advocating for the adoption of digital endpoints within the global R&D community. Staying at the forefront of emerging trends, you will integrate novel solutions to enhance patient care and clinical research.

Your leadership will champion transformation efforts that unlock the full potential of Digital Health Technologies.

• You hold a PhD in a quantitative natural science or medical initiative with a focus on large-scale data analysis.
• You have a minimum of 7 years of relevant experience in the pharmaceutical or related industry.
• You possess a proven track record in designing and validating digital endpoints or biomarkers for clinical applications.
• You have experience working with data generated from digital health technologies, like wearables and mobile platforms.
• You are familiar with algorithm development and deployment in clinical or real‑world settings.
• You have strong expertise in digital biomarker/endpoint development, including psychometric and statistical validation and regulatory aspects.
• You have solid understanding of algorithm development, signal processing, and AI/ML methods as applied to digital health data.
• You possess excellent stakeholder management skills and can navigate matrixed organizations effectively.
• You have strong communication and scientific writing skills, enabling you to translate complex technical content for diverse audiences.

Department: HC‑RD‑BSD Advanced Data Sciences

Job evaluation: AT-level 3 (Expert)
This position is open to candidates based in Germany and Switzerland