Teams at Johnson & Johnson

Lead immunology discovery efforts by shaping target identification/validation strategies, driving preclinical programs (small molecules and biologics), managing and mentoring a scientific team, coordinating cross-functional and external collaborations, advancing platform technologies, and progressing candidates into early development. Support autoimmune disease strategy and represent the company externally. Leverage AI tools to improve productivity and departmental performance.

Lead the development of AI applications and data products to enhance Immunology R&D. Manage a technical team and collaborate across departments.

Lead and contribute to the end-to-end design, development, and operation of scalable AI-enabled data products for Oncology R&D. Integrate diverse data sources into AI-ready assets, design data models and pipelines, partner with stakeholders to deliver business-critical use cases, leverage cloud platforms and tools (Python, SQL, AWS), implement quality and KPIs, mentor team members, and drive Agile and reuse-focused practices to support clinical, pre-clinical, RWD and omics projects.