{"id":2967212,"url":"https://alion.io/job/johnson-johnson-principal-scientist-data-science-data-products-integration-analysis","title":"Principal Scientist, Data Science (Data Products, Integration & Analysis)","company":{"id":14152,"name":"Johnson & Johnson","domain":"jnj.com","url":"https://alion.io/company/jnj","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Science & Research","role_family":"Science & Research","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Spring House, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":96000,"max_usd":255000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":584},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Feature Store","optional":false},{"name":"GraphRAG","optional":false},{"name":"Knowledge Graph","optional":false}],"status":"live","first_seen_at":"2026-10-20T00:00:00Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-21T05:01:52Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"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.com\nAs 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.\nJob Function:\nData Analytics & Computational SciencesJob Sub Function:\nData ScienceJob Category:\nScientific/TechnologyAll Job Posting Locations:\nHorsham, 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:\nAbout Innovative Medicine\nOur 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.\nJoin us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.\nLearn more at https://www.jnj.com/innovative-medicine\nPosition Summary\nThe 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.\nThis 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.\nWorking 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.\nBuild AI reasoning models to support data-driven translational safety decision making.\nMission\nBuild and operationalize AI-ready scientific data products that enable seamless integration, harmonization, and reuse of data across the drug discovery and development lifecycle.\nKey Responsibilities\nScientific Data Product Strategy\nDefine and execute a scientific data product strategy supporting:\nDiscovery Research\n\nTranslational Science\n\nPreclinical Safety\n\nClinical Development\n\nPharmacovigilance\n\nReal-World Evidence\n\nEstablish reusable, scalable data products that support analytics, AI, knowledge graph, and scientific reasoning use cases.\n\nDevelop product roadmaps aligned with organizational priorities and scientific objectives.\n\nData Integration Architecture\nDesign integration frameworks connecting heterogeneous scientific data sources.\n\nDefine data harmonization strategies spanning:\nSEND\n\nSDTM\n\nADaM\n\nMedDRA\n\nImaging\n\nOmics\n\nBiomarker\n\nPathology\n\nReal-world data\n\nCreate architecture patterns supporting cross-domain data interoperability.\n\nDigital Platform Leadership\nDefine the implementation strategy for scientific data products deployed on AWS\n\nPartner with Amazon engineering and deployed platform resources to deliver scalable data pipelines and data products.\n\nProvide technical leadership and architectural oversight for implementation activities aligned recommendations from the Data Strategy group.\n\nEnsure digital solutions align with enterprise architecture, security, governance, and AI-readiness requirements.\n\nData Product Development\nIn collaboration with Data Strategy group, lead design and implementation of:\nCurated datasets\n\nSemantic-ready data products\n\nFeature stores\n\nMetadata products\n\nScientific data services\n\nAI-ready data assets\n\nEstablish reusable patterns for data onboarding, transformation, validation, and publication.\n\nData Quality & Metadata\nDefine metadata standards and data quality frameworks.\n\nImplement lineage, provenance, traceability, and FAIR data principles.\n\nEstablish monitoring and quality controls for scientific data products.\n\nData Analysis:\nBuild predictive AIML models to support translational safety decision making.\n\nStakeholder Engagement\nPartner with:\nDiscovery Scientists\n\nToxicologists\n\nClinical Scientists\n\nSafety Scientists\n\nData Scientists and Data Strategy business partners.\n\nKnowledge Architects\n\nAI Engineers\n\nTranslate scientific questions into scalable data products and technical solutions.\n\nRequired Qualifications\nEducation\nMaster’s or PhD in:\nComputer Science\n\nData Engineering\n\nBioinformatics\n\nBiomedical Informatics\n\nInformation Systems\n\nComputational Biology\n\nRelated scientific discipline\n\nExperience\n5+ years of experience in scientific data engineering, data architecture, data products, or life sciences informatics.\n\nDemonstrated experience designing and delivering enterprise-scale scientific data products.\n\nExperience supporting drug discovery, development, clinical research, or pharmacovigilance organizations.\n\nExperience developing predictive models in drug discovery, development, clinical research, or pharmacovigilance organizations.\n\nTechnical Expertise\nStrong expertise in:\nData architecture\n\nData modeling\n\nData product design\n\nCloud-native data platforms\n\nMetadata management\n\nData governance\n\nPredictive model development\n\nExperience with:\nAWS-based data platforms\n\nData lakes and lakehouses\n\nDistributed data processing\n\nAPIs and data services\n\nData cataloging and lineage solutions\n\nScientific Data Standards\nStrong familiarity with:\nSEND\n\nSDTM\n\nADaM\n\nMedDRA\n\nPreferred familiarity with:\nFHIR\n\nOMOP\n\nDICOM\n\nBiomarker and omics data standards\n\nPreferred Qualifications\nExperience supporting knowledge graphs, semantic architectures, or GraphRAG initiatives.\n\nExperience building AI-ready data products and feature stores.\n\nFamiliarity with ontology-driven data integration approaches.\n\nExperience partnering with cloud providers or external platform teams.\n\nExperience operating in highly regulated scientific environments.\n\nLeadership Competencies\nStrategic thinker capable of defining long-term data product roadmaps.\n\nStrong communicator who can bridge scientific and technical communities.\n\nAbility to influence cross-functional teams without direct authority.\n\nStrong execution focus with a bias toward scalable, reusable solutions.\n\nPassion for transforming biomedical R&D through data, AI, and modern engineering practices.\n\nJohnson & 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.\nJohnson 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 () or contact AskGS to be directed to your accommodation resource.\nRequired Skills:\nPreferred Skills:\nAdvanced 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 :\n$117,000.00 - $201,250.00Additional Description for Pay Transparency:\nSubject 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.\nSubject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:\nVacation -120 hours per calendar year\nSick 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 year\nHoliday pay, including Floating Holidays -13 days per calendar year\nWork, Personal and Family Time - up to 40 hours per calendar year\nParental Leave - 480 hours within one year of the birth/adoption/foster care of a child\nBereavement Leave - 240 hours for an immediate family member: 40 hours for an extended family member per calendar year\nCaregiver Leave - 80 hours in a 52-week rolling period10 days\nVolunteer Leave - 32 hours per calendar year\nMilitary Spouse Time-Off - 80 hours per calendar year\nFor additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits","description_format":"text","description_chars":9604,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Parental leave","Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"Washington","iso":null,"kind":"city"},{"name":"Colorado","iso":null,"kind":"city"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Prescription Drugs","Surgical Instruments & Devices","Orthopedic & Spine Implants"],"lifecycle":[{"event":"open","at":"2026-10-21T00:40:26Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":1,"expected_fill_days":22,"reasons":["conf:0","win:early","comp:brand"],"computed_at":"2026-10-21T05:21:52Z"},"pay":null,"html_url":"https://alion.io/job/johnson-johnson-principal-scientist-data-science-data-products-integration-analysis","json_url":"https://alion.io/job/johnson-johnson-principal-scientist-data-science-data-products-integration-analysis.json","meta":{"generated_at":"2026-10-21T05:21:52Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":7867,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":14152},"rest":"https://alion.io/mcp/rest/get_company?id=14152"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fjohnson-johnson-principal-scientist-data-science-data-products-integration-analysis"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fjohnson-johnson-principal-scientist-data-science-data-products-integration-analysis"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fjohnson-johnson-principal-scientist-data-science-data-products-integration-analysis"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/johnson-johnson-principal-scientist-data-science-data-products-integration-analysis\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fjohnson-johnson-principal-scientist-data-science-data-products-integration-analysis"}]}