
1001 - 5000 employés
💊 Pharmaceutique
🏥 Santé
🧬 Biotechnologie
Pharmaceuticals • Healthcare • Biotechnology
Les Entreprises Pharmaceutiques Otsuka (États-Unis) sont un acteur de premier plan dans l'industrie de la fabrication pharmaceutique, dédiées à la création de produits innovants pour améliorer la santé mondiale. La société se compose de deux entités principales : Otsuka America Pharmaceutical, Inc. (OAPI), qui se concentre sur la commercialisation des produits découverts par Otsuka et sous licence en Amérique du Nord, et Otsuka Pharmaceutical Development & Commercialization, Inc. (OPDC), spécialisée dans le développement clinique et l'enregistrement mondial de solutions de santé innovantes, particulièrement dans le domaine des neurosciences.
🕒 il y a 11 jours
🗣️🇺🇸🇬🇧 Anglais requis
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1001 - 5000 employés
💊 Pharmaceutique
🏥 Santé
🧬 Biotechnologie
Pharmaceuticals • Healthcare • Biotechnology
Les Entreprises Pharmaceutiques Otsuka (États-Unis) sont un acteur de premier plan dans l'industrie de la fabrication pharmaceutique, dédiées à la création de produits innovants pour améliorer la santé mondiale. La société se compose de deux entités principales : Otsuka America Pharmaceutical, Inc. (OAPI), qui se concentre sur la commercialisation des produits découverts par Otsuka et sous licence en Amérique du Nord, et Otsuka Pharmaceutical Development & Commercialization, Inc. (OPDC), spécialisée dans le développement clinique et l'enregistrement mondial de solutions de santé innovantes, particulièrement dans le domaine des neurosciences.
• Define, execute, and oversee data enablement and reporting analytics across the R&D organization • Drive R&D data strategy to enable a data-centric culture and ensure data is AI-ready according to FAIR principles • Implement programs supporting data use initiatives and information governance policies • Lead enablement of AI readiness for R&D data, data quality, clinical trial reporting, and analytics • Provide advanced reporting through Gen AI solutions and support development of Gen BI solutions • Partner with R&D, Biostatistics, Clinical Data Management, Statistical Programming, Real World Data Analytics, Data Enablement/Governance, and IT stakeholders • Develop and operationalize the R&D data strategy roadmap and data governance framework • Oversee metadata management, semantic annotation, data cataloging, and data lineage tracking • Establish data quality standards, KPIs, and remediation initiatives • Translate stakeholder processes and AI needs into a prioritized AI portfolio • Develop operational AI use cases across analytics, traditional AI/ML, and Gen AI • Deliver governed data products and analytical reporting supporting strategic insights and operational efficiency • Collaborate on scalable data models, data lakes, and visualization tools for self-service analytics • Establish and monitor SLAs and usage metrics for data products and reporting dashboards • Communicate governance priorities, reporting metrics, and value realization to executives and stakeholders • Translate R&D requirements into data and governance initiatives • Identify AI opportunities to automate reporting analytics and governance workflows • Lead, mentor, and develop a high-performing data and reporting team • Drive data and AI awareness, ownership, and stewardship across R&D • Lead analytics and reporting for Clinical Trial operations
• Master's or Ph.D. in a quantitative discipline such as Data Science, Bioinformatics, Statistics, Computer Science, or a related field • 8–10+ years of experience in data management, data governance, stakeholder management, or a related role within the pharmaceutical, biotech, or life sciences industry • Proven track record of defining, implementing, and operationalizing data governance frameworks and delivering strategic reporting in a regulated (GxP) environment • Deep understanding of R&D data and information domains, including clinical trials, drug development, external real-world data, genomics, and digital/device and sensor data • Knowledge of data standards such as CDISC and regulatory compliance • Experience collaborating with data science and AI teams • Familiarity with the modern data stack, including cloud platforms, data lakes, and data catalogs • Familiarity with modern DSPM and Data Governance solutions • Excellent leadership, communication, and change management skills • Ability to influence senior stakeholders across a complex, matrixed organization • Excellent stakeholder management skills • Ability to convey complex technical concepts to non-technical audiences
• Comprehensive medical, dental, vision, and prescription drug coverage • Company-provided basic life insurance • Accidental death and dismemberment insurance • Short-term and long-term disability insurance • Tuition reimbursement • Student loan assistance • Generous 401(k) match • Flexible time off • Paid holidays • Paid leave programs • Other company-provided benefits • Incentive opportunity
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