Sr Director, R&D Data Science & Digital Health – Neurodegeneration

Job Function: Data Analytics & Computational Sciences

Job Sub Function: Data Science Portfolio Management

Job Category: Professional

All Job Posting Locations: Zug, Switzerland

Johnson & Johnson Innovative Medicine is recruiting for Sr Director, R&D Data Science & Digital Health – Neurodegeneration. This position has a primary location of Zug, Switzerland
. This position will require up to 25% in travel.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and Med Tech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.

Learn more at

We are seeking an experienced and visionary Sr Director to lead our data science and digital health strategy for neurodegenerative diseases
. This role will shape and execute innovative approaches leveraging multiomics, digital health technologies, artificial intelligence, and clinical/real-world evidence (RWE) to accelerate drug discovery, development, and patient impact.

You will partner closely with Neuroscience Therapeutic Area, Clinical Development, Quantitative Sciences, Regulatory and Patient Reported Outcomes as well as external collaborators to drive a precision neuroscience agenda. This position offers the opportunity to transform how we understand disease biology, identify novel endpoints, stratify patients, and deliver better outcomes for people living with neurodegenerative disorders.

• Define and execute the data science and digital health strategy for neurodegeneration
  , integrating computational biology, AI/ML, digital health, and clinical/RWE insights.
• Drive the application of multiomics (genomics, proteomics, transcriptomics, metabolomics, etc.) and integrative analytics to uncover disease mechanisms, biomarkers, and novel targets.
• Lead the development, validation, and regulatory engagement of digital tools and novel endpoints to enhance clinical trial design, patient monitoring, and care pathways.
• Champion the use of machine learning, deep learning, generative and agentic AI to accelerate patient stratification, disease modeling, and translational discovery.
• Partner with clinical development and medical affairs to integrate RWE into evidence generation, supporting trial optimization, regulatory submissions, and real-world impact assessment.
• Build strong cross‑functional and external collaborations with academic groups, technology providers, regulators, and consortia to position the company at the forefront of data‑driven neuroscience.
• Recruit, develop and inspire a diverse team of digital health scientists, RWE experts and computational neuroscientists to deliver on strategic initiatives.

• Advanced degree (PhD, MD or equivalent) in neuroscience / quantitative sciences such as biomedical engineering, data science, biostatistics, computational biology or a related field.
• 10+ years of relevant industry or academic experience, with proven leadership in applying data‑driven methods to drug discovery and development.
• 7+ years of experience as a people manager.
• Experience in clinical development is required with demonstrated expertise in neurodegeneration preferred.
• Excellent communication skills, with the ability to translate complex data‑driven insights into clear strategies for senior stakeholders and external partners.
• Technical Expertise (2/3): 1. Proficiency in multiomics integration (e.g., genomics, transcriptomics, proteomics,) and advanced statistical/causal inference methods;
  2. Expertise in applying digital health technologies (wearables, sensors, mobile platforms) and novel endpoints in clinical research.
  3. Experience with large‑scale clinical datasets, EHR, and real‑world data and expertise in advanced modeling, longitudinal analysis, and patient stratification.
• Track record of scientific contributions (presentations and…