Johnson & Johnson is seeking to solve complex diseases in neuropsychiatry by leveraging data science and digital health technologies to accelerate drug discovery, development, and patient impact.
Requirements
- Technical Expertise in at least two of the three following areas: 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.
- Competence with programming and analytics environments (e.g., Python, R) with ability to guide technical teams at a strategic level
- Knowledge of data infrastructures, development of data analysis pipelines and their implementation at scale, and state-of-the-art AI methodologies
- Familiarity with data standards, privacy regulations, and regulatory qualification pathways
- Experience with machine learning, deep learning, generative and agentic AI
- Experience with digital health technologies (wearables, sensors, mobile platforms) and novel endpoints in clinical research
- Experience with large-scale clinical datasets, EHR, and real-world data
Responsibilities
- Define and execute the data science and digital health strategy for neuropsychiatry, 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.
Other
- 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.
- Travel requirement: approximately 25% domestic and international travel
