Principal Scientist, R&D Data, Data Science & Artificial Intelligence - Immunology

Johnson & Johnson Innovative Medicine•San Diego, CA

1d•$117,000 - $201,250•Onsite

About The Position

Johnson & Johnson Innovative Medicine Research & Development LLC is seeking a Principal Scientist to contribute to the design, evaluation, and execution of Data Science, Digital Health & AI (DDSAI) strategies aligned with Immunology Therapeutic Area priorities. The role partners with DDSAI colleagues and Immunology stakeholders to identify and advance data science, digital health, AI, and technology-enabled opportunities across the portfolio, translating emerging capabilities into practical solutions that support decision making, research execution, and development outcomes. The Principal Scientist works with clinical project teams and partners across Translational Science, Translational Medicine, Discovery, Late Development, Market Access, Medical Affairs, Data Platforms, Insights & Analytics, and other functions. The position is based at a Johnson & Johnson campus in Cambridge, Massachusetts; Spring House, Pennsylvania; San Diego/La Jolla, California; Titusville, New Jersey; or Raritan, New Jersey. It is not fully remote, and travel for cross-functional workshops, design sessions, and team meetings may be required.

Requirements

Master’s degree in engineering, mathematics, or a related scientific discipline, with at least 4 years of relevant experience.
At least 4 years of relevant professional or academic experience in pharmaceutical R&D, biotechnology, healthcare, data science, digital health, AI, analytics, or a related field.
Ability to work effectively in cross-functional and matrixed environments.
Experience translating scientific or business needs into practical data, analytics, digital health, or AI-enabled solutions.
Experience assessing and applying emerging AI technologies, including generative AI and agentic systems, to scientific, clinical, operational, or business challenges.
Strong problem-solving, communication, organizational, and stakeholder engagement skills.
Familiarity with healthcare, clinical, imaging, digital health, biomarker, or real-world data.

Nice To Haves

PhD or other advanced degree.
Experience supporting Immunology or another therapeutic area research and development organization.
Experience delivering data science, AI, digital health, analytics, or workflow transformation initiatives.
Experience working with healthcare datasets, including clinical trial, real-world, imaging, biomarker, omics, or digital health data.
Experience with analytical and data science tools such as Python, R, SQL, cloud platforms, or related technologies.
Experience contributing to the design, implementation, integration, or scaling of machine learning, generative AI, agentic AI, workflow automation, or digital health solutions in a healthcare or life sciences environment.
Familiarity with data platforms, process improvement, workflow design, capability development, or technology enablement initiatives.

Responsibilities

Contribute scientific and strategic input to Immunology R&D DDSAI priorities across projects, portfolio initiatives, and internal and external collaborations.
Partner with DDSAI colleagues and Therapeutic Area teams to define, evaluate, and execute data science, digital health, AI, and analytics initiatives aligned with Immunology R&D objectives.
Collaborate with Therapeutic Area teams, DDSAI Data Platform teams, Insights & Analytics, and other DDSAI functions to develop use cases and roadmaps, and identify reusable capabilities and workflow standardization opportunities.
Develop an understanding of imaging, digital health, clinical, and real-world data assets, and align scientific use cases with appropriate datasets, technologies, and partners.
Map and analyze scientific and operational workflows to identify process improvements, automation opportunities, and future-state solutions.
Partner with platform and engineering teams to shape scalable, reusable, governed, interoperable, and sustainable data, analytics, and digital capabilities.
Evaluate and pilot emerging technologies, including generative AI, agentic workflows, workflow automation, and advanced analytics, for potential impact on Immunology R&D.
Contribute to data innovation and portfolio intelligence by identifying emerging technologies, data assets, and capabilities that may enhance R&D decision making.
Perform detailed analyses, prepare high-quality materials, and communicate recommendations in technical and leadership forums.
Support other DDSAI objectives and broader R&D priorities as required.