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Associate Director, R&D Neuroscience Data Science & Digital Health – Neurodegeneration

Job in 6300, Zug, Kanton Zug, Switzerland
Listing for: Johnson & Johnson
Full Time position
Listed on 2025-12-03
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst, Data Science Manager, Data Security
Salary/Wage Range or Industry Benchmark: 125000 - 150000 CHF Yearly CHF 125000.00 150000.00 YEAR
Job Description & How to Apply Below

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 and where treatments are smarter and less invasive and solutions are 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 more.

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

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.

Familiar…

Position Requirements
10+ Years work experience
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