Principal Data Engineer, Biologics Discovery
About the role
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.
About The Opportunity Johnson & Johnson Innovative Medicine is seeking a Principal Data Engineer dedicated to our Biologics Discovery organization. This is a high-leverage role responsible for shaping how discovery data is structured, connected, and made AI-ready across Biologics Discovery. The role serves as the bridge between scientific workflows, data consumers, and technology partners, ensuring that discovery data products support scientific research, analytics, machine learning, and agentic workflows. This position will be based at one of our office locations in either Spring House, PA (strongly preferred), Titusville, NJ, or Raritan, NJ. (No remote option.)
Why This Role Matters High-quality, well-governed scientific data is foundational to our vision for AI-enabled biologics discovery. This role provides senior technical leadership within Biologics Discovery, translating scientific needs into data products, scientific data models, and requirements, and working with enterprise data and technology partners to ensure discovery data is trusted, connected, and AI-ready as the broader ecosystem evolves.
Position Summary As a Principal Data Engineer, you will lead the design of discovery data products, scientific data models (schemas, entities, and relationships), and integration requirements that enable discovery data to be acquired, connected, harmonized, and delivered across the Biologics Discovery ecosystem. You will work closely with scientists and AI/ML teams to translate their needs into durable, reusable, and AI-ready data assets. Working in close partnership with enterprise Data Strategy & Products and Technology teams, you will ensure discovery data needs are represented in enterprise standards and that those standards are effectively applied within Biologics Discovery. You will help shape the future-state discovery data ecosystem