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

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are our expertise in Innovative Medicine and MedTech 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 more at

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science Portfolio Management

Job Category:

Professional

All Job Posting Locations:

Zug Switzerland

Job Description:

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 & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are our expertise in Innovative Medicine and MedTech 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 more at Summary
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.

Key Responsibilities

• 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.

Qualifications

• 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 publications) in this field is required.

• Familiarity with data standards privacy regulations and regulatory qualification pathways is required.

• Knowledge of data infrastructures development of data analysis pipelines and their implementation at scale and state-of-the-art AI methodologies is a plus.

• Competence with programming and analytics environments (e.g. Python R) with ability to guide technical teams at a strategic level.

• Demonstrated success in leading cross-disciplinary teams at the interface of data science biology and clinical development.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity age national origin disability protected veteran status or other characteristics protected by federal state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants needs. If you are an individual with a disability and would like to request an accommodation please email the Employee Health Support Center () or contact AskGS to be directed to your accommodation resource.

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Required Skills:

Preferred Skills:

Advanced Analytics Business Storytelling Consulting Critical Thinking Data Modeling Data Privacy Standards Data Science Data Structures Digital Fluency Digital Strategy End to End Implementation Global Market Negotiation Product Portfolio Management Program Management Quality Control (QC) Strategic Thinking