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

Johnson & Johnson

. Contribute scientific and strategic input to Immunology R&D DDSAI priorities across projects, portfolio initiatives, and internal or external collaborations .

Posted 10/22/2026full-timeUnited StatesLead💰 $117,000 - $201,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data science, AI, and digital health initiatives within pharmaceutical R&D, with a strong focus on translating scientific needs into actionable data solutions and enhancing decision-making through advanced analytics and emerging technologies.

Highest-signal resume keywords

Data Science Use Case DevelopmentGenerative AI ExperienceHealthcare Dataset FamiliarityCross-Functional CollaborationWorkflow Automation Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceAIAnalyticsWorkflow AutomationMachine LearningPythonRSQLCloud PlatformsDigital Health Solutions

Soft Skills

Problem-SolvingCommunicationOrganizational SkillsStakeholder Engagement

Certifications & Qualifications

Masters DegreePhD (Preferred)

Industry Keywords

Pharmaceutical R&DBiotechnologyHealthcareImmunologyClinical DataReal-World DataDigital HealthEmerging TechnologiesProcess ImprovementCapability Development

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Contribute scientific and strategic input to Immunology R&D DDSAI priorities across projects, portfolio initiatives, and internal or external collaborations
Partner with DDSAI colleagues and Therapeutic Area teams to define, evaluate, and execute data science, digital health, AI, and analytics initiatives
Design and implement data science use cases and develop roadmaps from pilot to scale
Identify reusable capabilities and workflow standardization opportunities
Understand imaging, digital health, clinical, and real-world data assets and align scientific use cases with 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, governed, interoperable, reusable, and sustainable data, analytics, and digital capabilities
Evaluate and pilot emerging technologies, including generative AI, agentic workflows, workflow automation, and advanced analytics
Identify emerging technologies, data assets, and capability opportunities to enhance R&D decision making
Perform detailed analyses, develop high-quality materials, and communicate recommendations in technical and leadership forums
Support broader DDSAI and R&D priorities as required

Requirements

What you’ll need

Masters 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
Demonstrated 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
Demonstrated experience assessing and applying emerging AI technologies, including generative AI and agentic systems
Strong problem-solving, communication, organizational, and stakeholder engagement skills
Familiarity with healthcare, clinical, imaging, digital health, biomarker, or real-world data
PhD is a plus
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 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
Travel may be required for cross-functional workshops, design sessions, and team meetings

Benefits

Comp & perks

Annual performance bonus
Medical insurance
Dental insurance
Vision insurance
Life insurance
Short-term disability insurance
Long-term disability insurance
Business accident insurance
Group legal insurance
Pension plan
401(k) savings plan
Vacation – up to 120 hours per calendar year
Sick time – up to 40 hours per calendar year
Holiday pay, including Floating Holidays – up to 13 days per calendar year
Work, Personal and Family Time – up to 40 hours per calendar year
Interview accommodations for applicants with disabilities