Associate Director, R&D Neuroscience 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 Associate Director R&D Neuroscience Data Science & Digital Health Neurodegeneration to be located inZug Switzerland.

A pre-identified candidate for consideration has been identified. However all applications will be considered.

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

This outstanding data scientist will join the Neuroscience Data Science and Digital Health (DSDH) team to transform neurodegeneration clinical trials through cutting-edge AI digital health technologies and advanced statistical methodologies. This role will work on the discovery development and validation of novel digital endpoints and tools enhancing patient screening recruitment monitoring and engagement. By combining deep knowledge of neuroscience with expertise in data science and digital health the role will ensure innovative fit-for-purpose solutions that enhance patient-centricity streamline trial execution and support regulatory and payer acceptance. This will be achieved by being an integral member of a matrixed team working closely with the Neuroscience Therapeutic Area Clinical Development Quantitative Sciences Regulatory and Patient Reported Outcomes and by establishing strategic external collaborations.

Key Responsibilities
Advancing our Digital Health Strategy

• Partner with cross-functional teams to create strategic roadmaps that integrate digital health solutions throughout the patient journey ensuring clinical relevance and patient-centered outcomes.

• Monitor emerging technologies and trends to bring forward next-generation solutions for neurodegeneration research and development.

Endpoint & Digital Tool Development

• Monitor emerging technologies and trends to bring forward next-generation solutions for neurodegeneration research and development.

Regulatory & Evidence Generation

• Contribute to evidence packages to support regulatory qualification of digital endpoints and tools.

• Partner with regulatory and medical affairs to engage health authorities and payers on the acceptance of digital health approaches.

• Ensure validation and compliance with evolving global regulatory and data privacy standards.

Cross-functional & External Leadership

• Collaborate with clinical operations to integrate digital health technologies into trial design.

• Partner with the rest of the organization to optimize data capture integration and interoperability of digital solutions.

• Represent the organization in external consortia conferences and collaborations to influence digital health standards in neurodegeneration.

Qualifications

• Advanced degree (MS PhD MD or equivalent) in neuroscience / quantitative sciences such as biomedical engineering data science biostatistics or a related field.

• 6 years (for PhD candidates) and 8 years (for MS candidates) of experience in pharmaceutical biotech or healthcare analytics.

• Experience in clinical development digital health or outcome assessments with demonstrated expertise in neuroscience preferred.

• Extensive experience in advanced analytical methodologies including biostatistics machine learning and statistical modeling of digital health data such as speech and sensor data and/or neuroimaging and in multimodal data analysis approaches is required. Knowledge of state-of-the-art AI methods is an advantage.

• Strong track record in developing and validating digital health tools clinical endpoints or biomarkers ideally with regulatory interactions.

• Experience integrating digital solutions into patient recruitment screening and clinical trial operations.

• Familiarity with data standards privacy regulations and regulatory qualification pathways for digital measures.

• Excellent cross-functional leadership communication and collaboration skills.

• Track record of scientific contributions (presentations and publications) in this field is required.

This position is located in Zug Switzerland and may require up to approximately 10% yearly travel (international and domestic).

Required Skills:

Preferred Skills:

Advanced Analytics Business Case Modeling Consulting Cross-Functional Collaboration Data Privacy Standards Data Science Data Structures Digital Fluency Digital Strategy End to End Implementation Global Market Negotiation Organizing Predictive Modeling Process Improvements Product Portfolio Management Technical Credibility