Sr Director, R&D Data, Data Science & AI - Multiomics

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Spring House, Pennsylvania, United States of America Job Description: Johnson & Johnson Innovative Medicine (J&J IM) is seeking an exceptional scientific and organizational leader to serve as Senior Director, Multiomics – Data, Data Science & AI . This leader will oversee our MultiOmics Data Science organization, responsible for harmonizing, integrating, and analyzing multi‑modal Omics datasets across the entire R&D pipeline. This position has a primary location of Spring House, PA and require up to 25% travel. Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine In this role, you will shape the future of how Omics data fuels AI, ML, and computational biology across J&J IM R&D—building reusable, governed pipelines, deploying cutting‑edge architectures, ensuring FAIR data practices, and collaborating deeply with therapeutic area scientists and computational experts for target discovery and disease-biology understanding. Your organization will drive the cross-functional and shared Omics data lifecycle: from raw data ingestion to standardized, AI‑ready assets to advanced analytical interpretation leveraged across discovery, therapeutic areas, and functions. The team’s scientific purview includes genomics, transcriptomics, spatial technologies, proteomics, cell atlases, and patient consortia; enabling next‑generation biological insights that accelerate discovery and development programs. Key Responsibilities 1. Strategic Leadership of Global Multiomics Data Science Define and execute the global strategy for Multiomics Data Science across J&J R&D, ensuring data architecture, analysis, and interpretation support scientific and portfolio priorities. Lead a high performing, multidisciplinary team of data scientists, computational biologists, and data engineers. Establish and oversee enterprise-wide standards for Omics data integration, quality, and reuse, leveraging learnings from specialized Omics teams in the Theraputic Areas and Functions to build shared Omics workflows and resources where possible. Drive the effective integration and analysis of largescale human biobanks and cohort datasets (e.g. FinnGen, UK Biobank, Our Future Health, etc.) 2. Enterprise Scale Omics Data Analysis Oversee the establishment and use of reproducible, scalable, Omics pipelines that transform raw data (e.g., transcriptomics, proteomics, etc) into standardized, analysis ready data products for all departments. Champion the use of AI and analytical methods to leverage the wealth of Omics related data the team manages and provide the tools and analytical analyses needed by our Therapeutic Areas and Functions. 3. Multi‑Omics Integration & Cell Atlas Development Drive innovation in cell atlas construction, including harmonization of single-cell, spatial Omics, proteomics, and genomics datasets. Develop scientific frameworks and analytical methods to assist perturbation response modeling, disease pathway mapping, patient stratification, and target discovery. 4. Analytical Excellence & Cross R&D Partnership Lead advanced data analysis efforts spanning genomics, transcriptomics, proteomics, and multi‑modal integration across therapeutic areas. Collaborate closely with AI/ML teams to deliver AI enabled Omics analyses. This includes AI ready data products exposed through APIs and MCP endpoints for AI co-scientists, supporting virtual cell and multimodal foundation models, causal inference, target identification, and enabling risk predictions used across the drug portfolio. Partner with discovery, safety, RWE, and clinical teams to identify impactful scientific questions and deliver data driven insights. 5. Data Governance, Interoperability & FAIR Principles Ensure Omics data assets meet strict governance, reproducibility, compliance, and interoperability standards. Create frameworks that unify Omics with other preclinical and patient data to generate insights that positively impact our drug portfolio. 6. Organizational Development and External Engagement Mentor and develop global talent; foster a culture of scientific excellence, transparency, and innovation. Represent J&J Innovative Medicine in key scientific consortia, academic collaborations, and industry forums on Multiomics and data science. Qualifications Required Ph.D. in Computational Biology, Bioinformatics, Genomics, Systems Biology, Data Science, or related field. 12+ years of experience in Omics data science within pharma, biotech, or leading research organizations, including 7+ years building and leading scientific or technical teams. Demonstrated expertise in multiomics data integration (e.g., genomics, transcriptomics, proteomics), workflows, assisting target identification efforts, and improving our understanding of disease biology through Multiomics analyses. Deep experience designing largescale data systems, pipelines, and AI ready datasets. Strong knowledge of modern computational ecosystems: Python, R, NextFlow workflow and usage, metadata/ontology frameworks, and data governance best practices. Proven track record advising and influencing senior R&D stakeholders to translate complex data science opportunities into strategic scientific impact. Preferred Experience with vector embeddings, semantic search, knowledge graphs, or next generation representation learning relevant to Multiomics data. Familiarity with clinical da