
1001 - 5000 funcionários
💊 Farmacêutico
🏥 Saúde
🧬 Biotecnologia
Pharmaceuticals • Healthcare • Biotechnology
As Empresas Farmacêuticas Otsuka (EUA) são um ator proeminente na indústria de fabricação farmacêutica, dedicadas a criar produtos inovadores para uma melhor saúde em todo o mundo. A empresa é composta por duas entidades principais: a Otsuka America Pharmaceutical, Inc. (OAPI), que se concentra na comercialização de produtos descobertos e licenciados pela Otsuka na América do Norte, e a Otsuka Pharmaceutical Development & Commercialization, Inc. (OPDC), que é especializada no desenvolvimento clínico e registro global de soluções inovadoras em saúde, particularmente na área de neurociências.
🕒 Junho 29
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $230.720 - $345.000 / ano
⏰ Tempo Integral
🟠 Sênior
🤖 Engenheiro de IA
👻 Score fantasma 19%
🗣️🇺🇸🇬🇧 Inglês obrigatório
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1001 - 5000 funcionários
💊 Farmacêutico
🏥 Saúde
🧬 Biotecnologia
Pharmaceuticals • Healthcare • Biotechnology
As Empresas Farmacêuticas Otsuka (EUA) são um ator proeminente na indústria de fabricação farmacêutica, dedicadas a criar produtos inovadores para uma melhor saúde em todo o mundo. A empresa é composta por duas entidades principais: a Otsuka America Pharmaceutical, Inc. (OAPI), que se concentra na comercialização de produtos descobertos e licenciados pela Otsuka na América do Norte, e a Otsuka Pharmaceutical Development & Commercialization, Inc. (OPDC), que é especializada no desenvolvimento clínico e registro global de soluções inovadoras em saúde, particularmente na área de neurociências.
• Define and drive the strategic vision and roadmap for data engineering, AI, and Gen AI capabilities within R&D, aligning with overall business objectives and scientific priorities. • Serve as a key thought leader and trusted advisor to senior R&D leadership on opportunities and risks related to AI and data technologies. • Evaluate and adopt emerging data and AI technologies, balancing new opportunities with the need for scalability, reliability, and regulatory compliance. • Deliver leading edge engineering approaches, effective enterprise data strategy (specifically clinical, operational, and real-world data), robust and responsible AI/ML model development. • Lead and deliver the design, development, and deployment of extensible and scalable data engineering for complex R&D Data, pipelines, and architecture for AI applications. • Oversee implementation of AI and Gen AI use cases from ideation to production deployment, and application life cycle management. • Champion engineering best practices, review AI solution architectures, and data & AI observability to ensure technical consistency, scalability, and effective governance of AI engineering across the portfolio.
• Expertise in real-world data assets and using them to generate scientific evidence and guide operational effectiveness and efficiencies. • Deep expertise across data engineering, representation, Gen AI, AI and machine learning techniques and experience in architecting and delivering AI/ML use cases. • Strong team leadership, internal and cross-functional collaboration, project management skills with a focus on delivering impactful initiatives. • 12+ years of progressive leadership experience in data engineering, AI/ML, and Gen AI with at least 5 years in senior technical leadership or management roles. • Strong and demonstrated experience in architecting, building and maintaining large-scale data and AI solutions in a scientific, regulated, or research-heavy environment. • Strong experience working within the pharmaceutical, biotech, or life sciences industry, particularly within R&D, is highly desirable along with a deep understanding of AI and Machine Learning and its applications in Pharma. • Proven track record of implementing and deploying Gen AI and large language model (LLM) applications in production environments. • Creative problem solving using responsible use of technology.
• Comprehensive medical, dental, vision, prescription drug coverage • Company provided basic life, accidental death & dismemberment • Short-term and long-term disability insurance • Tuition reimbursement • Student loan assistance • A generous 401(k) match • Flexible time off • Paid holidays • Paid leave programs as well as other company provided benefits
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Python
RPA