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Johnson & Johnson Innovative Medicine is looking to transform neurodegeneration clinical trials through cutting-edge AI, digital health technologies, and advanced statistical methodologies to enhance patient-centricity, streamline trial execution, and support regulatory and payer acceptance.

Requirements

• 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.
• 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.

Responsibilities

• 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.
• Partner with cross-functional teams (e.g., subject 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.
• 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.
• Collaborate with clinical operations to integrate digital health technologies into trial design.

Other

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