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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 collaborations .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data science, AI, and digital health within pharmaceutical R&D, with a strong focus on translating scientific needs into actionable analytics solutions. Proven ability to collaborate across cross-functional teams and leverage emerging technologies to enhance decision-making and workflow efficiencies.
Highest-signal resume keywords
Data Science Use Case DevelopmentExperience With Generative AIHealthcare Dataset AnalysisCross-Functional CollaborationWorkflow Automation Initiatives
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ScienceAI SolutionsAnalyticsWorkflow TransformationMachine LearningGenerative AIStatistical AnalysisData VisualizationProcess ImprovementCapability Development
Soft Skills
Problem-SolvingCommunicationOrganizational SkillsStakeholder Engagement
Tools & Technologies
PythonRSQLCloud PlatformsData Platforms
Industry Keywords
Pharmaceutical R&DBiotechnologyDigital HealthClinical DataReal-World DataImaging DataBiomarker DataTherapeutic Area Research
Tech Stack
Tools & technologiesCloudPythonSQL
About the role
Key responsibilities & impact- Contribute scientific and strategic input to Immunology R&D DDSAI priorities across projects, portfolio initiatives, and 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 use cases with datasets, technologies, and partners
- 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, 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
- Collaborate with clinical project teams and functional partners across Translational Science, Translational Medicine, Discovery, Late Development, Market Access, Medical Affairs, Data Platforms, and Insights & Analytics
Requirements
What you’ll need- Masters degree in engineering, mathematics, or a related scientific discipline
- At least 4 years of relevant professional or academic experience
- Relevant 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
- 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
- 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 healthcare or life sciences
- Familiarity with data platforms, process improvement, workflow design, capability development, or technology enablement initiatives
Benefits
Comp & perks- Annual performance bonus
- Medical insurance
- Dental insurance
- Vision insurance
- Life insurance
- Short- and 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