Sr Director, Head of Data Science & Digital Health – Therapeutics Development & Supply (TDS)

Role Summary

Global Head of Data Science & Digital Health – TDS to enable and embed AI/ML and advanced analytics into the core of drug development and supply. Partner with TDS teams and the broader DPDS organization to transform process design, scale-up, and clinical supply optimization into data-driven engines of speed, reliability, and compliance across all modalities—small molecules, biologics, and cell & gene therapies. Lead digital twins, predictive modeling, and GenAI-powered knowledge acceleration to industrialize development processes and strengthen J&J’s leadership in innovative medicine through collaboration with TDS functions, JJT, and enterprise data/AI partners.

Responsibilities

• Strategy & Portfolio Leadership: Partner to define and execute the TDS Data Science strategy aligned to TDS/DPDS priorities; build a multi-year roadmap for data, analytics, AI/ML (incl. GenAI); manage portfolio prioritization, funding, and value realization.
• CMC, Product & Process Development: Enable scientists and engineers to build and expand scientific models by providing tools, standards, and scalable capabilities; support citizen data scientists and DOS teams within TDS; ensure model governance and interoperability; create pathways to scale models; collaborate across TDS modalities, DPDS, and R&D.
• Device/Combination Product & Platform Engineering: Apply reliability modeling, image/signal analytics, and simulation to device/combination product performance and manufacturability.
• Clinical Supply Chain Analytics: Build forecasting, simulation and optimization engines for clinical supply, IRT signal integration, and risk-based inventory strategies; develop scenario planning/digital twin for clinical supply networks.
• Platforms, Data & MLOps: Co-own data and ML platform architecture, MLOps, model monitoring, and governance for GxP contexts.
• GenAI & Knowledge Acceleration: Lead targeted use of GenAI/LLMs for technical documentation, regulatory authoring aids, and knowledge acceleration.
• External Innovation & Partnerships: Scout and partner with academia/startups/CROs on cutting-edge analytics for discovery, development and manufacturing.
• People & Community Leadership: Build and lead a global team of data scientists, AI/ML engineers and applied statisticians; upskill TDS Scientists and Engineers with Data and AI/ML fluency.
• Quality, Safety & Compliance: Ensure data integrity, model validation, computerized systems compliance, and transparent model interpretability in regulated environments.

Qualifications

• Required: PhD (or equivalent experience) in Chemical/Biochemical Engineering, Bioinformatics Pharmaceutical Sciences, AI/ML, Applied Math/Statistics or related field.
• Required: 15+ years applied data science/AI leadership in biopharma development/CMC and/or clinical supply, including experience leading multi-disciplinary teams in a matrix setting.
• Required: Demonstrated outcomes in process and analytical development or clinical supply analytics.
• Required: Fluency with modern ML techniques, and MLOps on cloud platforms; experience integrating with LIMS/ELN/MES.
• Required: Proven ability to synchronize tech and data science roadmaps, and drive portfolio value realization.
• Required: Excellent communication and matrix leadership across scientific, technical, and business stakeholders in a global organization.
• Preferred: Experience across multi-modality portfolios (small/large molecules, cell & gene).
• Preferred: Familiarity with GenAI/LLMs in R&D settings, agents, and AI deployments in a regulatory setting.
• Preferred: Prior collaboration with External Innovation partners in development/manufacturing technologies.

Skills

• Advanced Analytics
• Budget Management
• Business Alignment
• Compliance Management
• Consulting
• Critical Thinking
• Data Analysis
• Data Privacy Standards
• Data Quality
• Data Reporting
• Data Savvy
• Data Science
• Data Visualization
• Developing Others
• Digital Fluency
• Inclusive Leadership
• Leadership
• Strategic Thinking

Additional Requirements

• Travel: Up to ~25% domestic/international