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Johnson & Johnson Innovative Medicine · 1 day ago

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

Titusville, NJ

Full-time

Hybrid

Director/Executive

$193K/yr - $334K/yr

10+ years exp

Johnson & Johnson Innovative Medicine is a leader in healthcare innovation, dedicated to developing smarter and less invasive treatments for complex diseases. The Senior Director of R&D Data Science & Digital Health for Neurodegeneration will shape and execute strategies leveraging multiomics, AI, and real-world evidence to enhance drug discovery and patient outcomes in neurodegenerative diseases.

Pharmaceuticals

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

Qualification

Data science strategyMultiomics integrationDigital health technologiesClinical development expertiseMachine learningProgramming PythonProgramming RAdvanced statistical methodsCross-disciplinary collaborationCommunicationLeadership skills

Required

Advanced degree (PhD, MD or equivalent) in neuroscience / quantitative sciences such as biomedical engineering, data science, biostatistics, computational biology or a related field is required

10+ years of relevant industry or academic experience, with proven leadership in applying data-driven methods to drug discovery and development is required

7+ years of experience as a people manager is required

Excellent communication skills, with the ability to translate complex data-driven insights into clear strategies for senior stakeholders and external partners is required

Technical Expertise in as least two of the three following areas is required: 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

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

Demonstrated success in leading cross-disciplinary teams at the interface of data science, biology, and clinical development is required

Preferred

Experience in clinical development with demonstrated expertise in neurodegeneration preferred

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