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

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.comAs 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.Job Function: Data Analytics & Computational SciencesJob Sub Function: Data ScienceJob Category:Scientific/TechnologyAll Job Posting Locations:Cambridge, Massachusetts, United States of America, Horsham, Pennsylvania, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of AmericaJob Description:About Innovative MedicineOur expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.Learn more at SummaryThe 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.MissionBuild and operationalize AI-ready scientific data products that enable seamless integration, harmonization, and reuse of data across the drug discovery and development lifecycle.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 standardsPreferred QualificationsExperience supporting knowledge graphs, semantic architectures, or GraphRAG initiatives.Experience building AI-ready data products and feature stores.Familiarity with ontology-driven data integration approaches.Experience partnering with cloud providers or external platform teams.Experience operating in highly regulated scientific environments.Leadership CompetenciesStrategic thinker capable of defining long-term data product roadmaps.Strong communicator who can bridge scientific and technical communities.Ability to influence cross-functional teams without direct authority.Strong execution focus with a bias toward scalable, reusable solutions.Passion for transforming biomedical R&D through data, AI, and modern engineering practices.Johnson & 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.#LI-GR1#LI-Hybrid#JRDDS#JNJDataScience#JRDRequired Skills:Preferred Skills:Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow AnalysisThe anticipated base pay range for this position is :$117,000.00 - $201,250.00Additional Description for Pay Transparency:Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).This position is eligible to participate in the Company’s long-term incentive program.Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:Vacation –120 hours per calendar yearSick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar yearHoliday pay, including Floating Holidays –13 days per calendar yearWork, Personal and Family Time - up to 40 hours per calendar yearParental Leave – 480 hours within one year of the birth/adoption/foster care of a childBereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar yearCaregiver Leave – 80 hours in a 52-week rolling period10 daysVolunteer Leave – 32 hours per calendar yearMilitary Spouse Time-Off – 80 hours per calendar yearFor additional general information on Company benefits, please go to: - Spring House, Pennsylvania, United States of America; Horsham, Pennsylvania, United States of America; Cambridge, Massachusetts, United States of America; Raritan, New Jersey, United States of America; Titusville, New Jersey, United States of AmericaType: Full time