Johnson & Johnson
Johnson & Johnson
Johnson & Johnson — инновациялық дәрі-дәрмектер мен медициналық технологиялар бағытында жұмыс істейтін жаһандық денсаулық сақтау компаниясы. Оның командалары онкология, иммунология, неврология, арнайы офтальмология, интервенциялық емдеу және ортопедия салаларында шешімдер әзірлеп, күрделі денсаулық сақтау қажеттіліктерін шешу үшін ғылым мен технологияны ұштастырады. Компания бүкіл әлемдегі медицина қызметкерлеріне, пациенттерге және қауымдастықтарға қызмет көрсете отырып, денсаулық сақтау саласындағы теңдікке, қоршаған ортаның тұрақтылығына, алуан түрлілікке және инклюзияға да басымдық береді.

Director of Research Data Foundation

Lead FAIR data platforms and governance for Johnson & Johnson’s Innovative Medicines R&D. Make research data trusted and reusable for discovery, analytics, AI, and scientific decisions.

Сипаттама

  • Lead technology capabilities that make research data trusted, governed, and reusable across the Research organization.
  • Transform data from fragmented systems, instruments, labs, and scientific workflows into a FAIR environment.
  • Work with research functions, lab informatics teams, data product owners, scientists, data science and modeling teams, governance leaders, architects, cybersecurity specialists, and technology platform teams.
  • Turn research strategy, FAIR principles, scientific data needs, and AI-readiness requirements into scalable platforms, metadata practices, data services, standards, scorecards, and operating routines.
  • Lead scalable data ingestion and curation platforms, covering onboarding, metadata enrichment, pipeline engineering, orchestration, monitoring, and issue resolution.
  • Enable consistent naming, identifiers, provenance, lineage, ontologies, vocabularies, quality thresholds, stewardship, sharing, and compliant scientific reuse.
  • Provide governed, high-performance access to distributed R&D data through integration and data virtualization.
  • Define and run research data quality and FAIR frameworks, standards, thresholds, and executive reporting.
  • Set quality rules, ownership, metadata expectations, FAIR acceptance criteria, and automated governance monitoring.
  • Use quality and FAIR insights to set remediation priorities and measurable improvement roadmaps.
  • Lead research data catalog, metadata, ontology, lineage, and master and reference data capabilities.
  • Establish canonical research entities, identifiers, controlled vocabularies, semantic standards, metadata, lineage, and provenance across research platforms and workflows.
  • Enable consistent data semantics across compounds, targets, assays, samples, studies, experiments, instruments, and other scientific domains.

Талаптар

  • Master’s degree or equivalent experience in computer science or life sciences.
  • At least 10 years of progressive technology leadership experience in a relevant area.
  • Experience in research data platform engineering, scientific data architecture, laboratory informatics, or enterprise research data management.
  • Experience designing and implementing cloud-based FAIR data environments, semantic and metadata capabilities, and enterprise master and reference data solutions.
  • Understanding of FAIR data principles, data product management, data contracts, research governance workflows, privacy, security, compliance, AI-ready data, and platform operating models.
  • Demonstrated success leading cross-functional teams and influencing research leaders and scientists.
  • Excellent communication skills and the ability to turn complex data platform and governance topics into clear business decisions and outcomes.
  • A record of building and operating enterprise-grade data solutions.
  • Experience establishing operating models for governed, reusable data assets.
  • Ability to work with scientists, data science, analytics, business, and technology organizations.
  • Experience managing critical data services with reliability targets, operational metrics, issue remediation, cost optimization, and service improvement routines.
  • A record of driving adoption of shared platforms, common standards, self-service patterns, metadata practices, governance workflows, and data product lifecycle management.
  • Strong executive influencing skills.

Артықшылықтар

  • Inclusive work environment.
  • Equal opportunity employment.
  • Inclusive interview process.
  • Disability accommodations during the interview process.

Ұқсас жұмыс орындары

Emerald Clinical

Clinical Trial Specialist, APAC (Mandarin Speaking)

Emerald Clinical

Support Emerald Clinical’s global early-phase trials across APAC. Coordinate study records, meetings, budgets, vendors, and trial master file activities.

Ашу
Syneos Health

Principal or Senior Biostatistician, R and Shiny — Remote UK

Syneos Health

Use R and Shiny to explore clinical trial data and build interactive visualizations. Support Syneos Health’s life sciences clients with reproducible analyses and insights for clinical decisions.

Ашу
Atrium Therapeutics

Senior Clinical Trial Manager, Remote (California)

Atrium Therapeutics

Lead global clinical operations for Atrium Therapeutics’ RNA therapies targeting cardiomyopathies. Oversee CROs, vendors, budgets, timelines, compliance, and trial delivery.

Ашу
Thermo Fisher Scientific

Clinical Research Associate (CRA) – Israel

Thermo Fisher Scientific

Monitor clinical trial sites across Israel for Thermo Fisher Scientific’s PPD services, supporting protocol compliance, data quality, documentation, and audit readiness.

Ашу
Syneos Health

Principal Biostatistician – India (Remote)

Syneos Health

Join Syneos Health’s Clinical Solutions team as a Principal Biostatistician, supporting life sciences and clinical development services. Use biostatistical and drug development expertise to help customers advance drug development and commercialization.

Ашу
ICON plc

Senior Clinical Data Manager, Data Standards

ICON plc

Lead clinical data standards, quality, and governance for ICON’s sponsor-dedicated trials. Improve global processes and coordinate delivery across teams.

Ашу
IQVIA

Clinical Research Associate, Sponsor Dedicated

IQVIA

Monitor clinical trial sites and support protocol compliance, patient recruitment, and study documentation for IQVIA. Coordinate with site staff and project teams to help trials meet quality standards and milestones.

Ашу
Regeneron

Clinical Study Specialist at Regeneron

Regeneron

Support Regeneron clinical trial teams by coordinating study data, sites, reporting, and close-out activities. Help keep studies on track from site activation through completion.

Ашу
Thermo Fisher Scientific

Remote Biostatistician II in Spain

Thermo Fisher Scientific

Lead clinical trial analyses, statistical programming, and analysis plan development at Thermo Fisher Scientific. Mentor junior statisticians and coordinate work with sponsors, programmers, and data managers.

Ашу
University of Miami

Clinical Research Coordinator I

University of Miami

Support clinical studies across the University of Miami’s academic health system. Coordinate participant screening, study data, regulatory records, and protocol compliance.

Ашу