Job Description:

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

Johnson & Johnson Innovative Medicine is recruiting for Associate Director, R&D Neuroscience Data Science & Digital Health – Neurodegeneration to be located at one of our sites in Cambridge, MA, Titusville, NJ, La Jolla, CA or Zug, Switzerland.

Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s):

Switzerland - Requisition Number: R-036221
USA - Requisition Number: R-035258

Role 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

• Partner with cross-functional teams (e.g., disreal-worldct-matter-experts, data scientists, statisticians, precision measures leads and clinicians) on (a) study design, development and validation of algorithms and analysis pipelines for digital health data; (b) Development of multimodal approaches combining digital health data with imaging, blood-based biomarkers and real world data to enable precision neuroscience.

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 (PhD, MD or equivalent) in neuroscience / quantitative sciences such as biomedical engineering, data science, biostatistics or a related field.
• 6+ years 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 based in either the US (Cambridge, MA, Titusville, NJ, Spring House, PA, San Diego, CA), or Zug, Switzerland, and currently has the option to follow a hybrid schedule of 3 days per week working on-site and 2 days per week working remotely. (No fully remote option available.)
• Up to approximately 10% domestic and international travel may be required.

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