Principal Scientist, Data Science (Data Products, Integration & Analysis)

Principal Scientific Data ScientistAt 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.The Principal Scientific Data Scientist will lead the design, implementation, and evolution of scientific data products and integration strategies supporting AI-enabled drug discovery and development.This individual will be responsible for creating scalable, interoperable, and AI-ready data products that connect discovery, preclinical, clinical, safety, and real-world evidence domains, and enable the creation of validated-biomarker data assets. The role will establish the data architecture, integration strategy, metadata framework, and productization approach needed to support semantic reasoning, knowledge graphs, GraphRAG, advanced analytics, and agentic AI applications.Working closely with scientific stakeholders, knowledge architects, AI engineers, and Amazon BioDiscovery platform teams, this individual will define the future-state scientific data ecosystem and ensure high-quality data products are delivered to support translational science and patient safety initiatives.Build AI reasoning models to support data-driven translational safety decision making.Key ResponsibilitiesScientific Data Product StrategyDefine and execute a scientific data product strategy supporting:Discovery ResearchTranslational SciencePreclinical SafetyClinical DevelopmentPharmacovigilanceReal-World EvidenceEstablish reusable, scalable data products that support analytics, AI, knowledge graph, and scientific reasoning use cases.Develop product roadmaps aligned with organizational priorities and scientific objectives.Data Integration ArchitectureDesign integration frameworks connecting heterogeneous scientific data sources.Define data harmonization strategies spanning:SENDSDTMADaMMedDRAImagingOmicsBiomarkerPathologyReal-world dataCreate architecture patterns supporting cross-domain data interoperability.Digital Platform LeadershipDefine the implementation strategy for scientific data products deployed on AWSPartner with Amazon engineering and deployed platform resources to deliver scalable data pipelines and data products.Provide technical leadership and architectural oversight for implementation activities aligned recommendations from the Data Strategy group.Ensure digital solutions align with enterprise architecture, security, governance, and AI-readiness requirements.Data Product DevelopmentIn collaboration with Data Strategy group, lead design and implementation of:Curated datasetsSemantic-ready data productsFeature storesMetadata productsScientific data servicesAI-ready data assetsEstablish reusable patterns for data onboarding, transformation, validation, and publication.Data Quality & MetadataDefine metadata standards and data quality frameworks.Implement lineage, provenance, traceability, and FAIR data principles.Establish monitoring and quality controls for scientific data products.Data Analysis:Build predictive AIML models to support translational safety decision making.Stakeholder EngagementPartner with:Discovery ScientistsToxicologistsClinical ScientistsSafety ScientistsData Scientists and Data Strategy business partners.Knowledge ArchitectsAI EngineersTranslate scientific questions into scalable data products and technical solutions.Required QualificationsEducationMaster's or PhD in:Computer ScienceData EngineeringBioinformaticsBiomedical InformaticsInformation SystemsComputational BiologyRelated scientific disciplineExperience5+ years of experience in scientific data engineering, data architecture, data products, or life sciences informatics.Demonstrated experience designing and delivering enterprise-scale scientific data products.Experience supporting drug discovery, development, clinical research, or pharmacovigilance organizations.Experience developing predictive models in drug discovery, development, clinical research, or pharmacovigilance organizations.Technical ExpertiseStrong expertise in:Data architectureData modelingData product designCloud-native data platformsMetadata managementData governancePredictive model developmentExperience with:AWS-based data platformsData lakes and lakehousesDistributed data processingAPIs and data servicesData cataloging and lineage solutionsScientific Data StandardsStrong familiarity with:SENDSDTMADaMMedDRAPreferred familiarity with:FHIROMOPDICOMBiomarker and omics data standardsJohnson & 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 Section 503 of the Rehabilitation Act.Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (View email address on click.appcast.io) or contact AskGS to be directed to your accommodation resource.