Senior Manager, Oncology Data and AI Systems

Senior Manager, Oncology Data and AI Systems Data, Data Science and Artificial Intelligence team (DDSAI) – Oncology R&D. Location: On site at Spring House, PA; Cambridge, MA; Titusville, NJ; Raritan, NJ; or San Diego, CA (no fully remote option). Key Responsibilities Serve as both a people leader and a hands‑on contributor accountable for the end‑to‑end design, development, and operation of scalable, AI‑enabled data products supporting Oncology R&D. Drive integration of diverse data sources (biomarker labs, real‑world data, pre‑clinical and translational systems) into high‑quality, reusable, AI‑ready assets. Partner closely with Oncology R&D and Data Science stakeholders to shape, prioritize, and deliver against business‑critical use cases. Translate complex scientific and operational needs into robust data products and AI systems that accelerate decision‑making, improve study execution, and enhance probability of success. Collaborate with domain experts (ontology, knowledge graph, and data product engineering) to design and deliver future‑proof, AI‑ready data systems aligned with Oncology Strategy. Ensure solutions enable discoverability, reuse, and advanced analytics/GenAI applications. Implement standard enterprise‑level data models and create new data models as needed. Leverage cloud‑based technology platforms to achieve data and AI goals. Lead design and optimization of data pipelines and AI workflows for structured and unstructured data using Python, SQL, AWS services and other relevant tools. Mentor and onboard new team members. Implement quality and performance standards and measure KPIs to determine accuracy and consistency. Lead the team in the development of Agile practices and agentic AI coding tools. Act as a thought leader across Data Science, Engineering, and Oncology domains, ensuring alignment with broader data product strategy and avoiding duplication through reuse and standardization. Required Qualifications Advanced degree (Master’s or equivalent) in Computer Science, Engineering, Life Sciences, or related field (Bachelor’s with equivalent experience may be considered). 6+ years of experience in data engineering, including data modeling and database design, preferably in the healthcare industry. Proficiency in agentic AI coding tools (e.g., Claude Code, Codex, etc.). Proficiency in data engineering tools such as Python and SQL for data processing, and cloud architecture (e.g., AWS services, Redshift, FSx, Glue, Lambda). Experience with unstructured database technologies (e.g., NoSQL) as well as other database types (e.g., Graph). Strong skills in analysis, problem‑solving, organizational change, project delivery, and managing external vendors. Proven record leading improvement initiatives with multidisciplinary and remote partners. Demonstrated stakeholder management capabilities – including requirements gathering, business analysis, and planning. Capacity to translate discussions into user requirements and project plans. Ability to manage multiple projects simultaneously, prioritize work, and exhibit organizational skills and flexibility to deliver maximum business value. Will travel Preferred Qualifications Experience building Model Context Protocol (MCP) servers. Exposure to high‑dimensional data technologies and handling, including genomics and imaging. Familiarity with MLOps and model deployment. Experience with healthcare data standards (e.g., CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Compensation and Benefits Base salary: $137,000 to $235,750 annually. Eligible for an annual performance bonus and comprehensive benefits including medical, dental, vision, life insurance, disability, group legal insurance, 401(k) plan, and vacation, sick and holiday time. Additional details are available through the company portal. Equal Opportunity Employer Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status, or other characteristics protected by federal, state, or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section503 of the Rehabilitation Act. If you are an individual with a disability and would like to request an accommodation, please contact the company. #J-18808-Ljbffr 6084-Janssen Research & Development, LLC Legal Entity