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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Director, R&D Data, Data Science & AI - Multiomics - **Company:** Johnson & Johnson - **Location:** Spring House, PA, United States - **Experience:** Expert - **Salary:** $196,000.0 - $342,700.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Bioinformatics, Clinical Data Repository, Computational Biology, Data Architecture, Data Governance, Data Integration, Data Systems, Graph Database, Interoperability, Python (Programming Language), Search Technologies, Fast Healthcare Interoperability Resources, Large Language Models - **Published:** September 20, 2026 - **Apply:** https://www.businessworkforce.com/job.asp?id=3397714721&tx=FP9188FFR&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * 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 data standards (e.g., FHIR, OMOP, CDISC) and regulatory expectations for scientific data. * Contributions in leading roles to major cell atlas, genomics, or proteomics consortia. ## 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., 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)