
1001 - 5000 employés
Fondée en 1969
⚕️ Assurance santé
💊 Pharmaceutique
🧬 Biotechnologie
Healthcare Insurance • Pharmaceuticals • Biotechnology
Duke Clinical Research Institute est la plus grande organisation académique de recherche clinique au monde, faisant partie de la Duke University School of Medicine. Il mène des recherches innovantes visant à améliorer la santé mondiale, dirigées par des experts réputés et des médecins scientifiques. L'institut se concentre sur la mise en œuvre d'études mondiales et propose divers programmes d'essais cliniques et de recherche sur les services de santé, apportant des perspectives significatives aux soins des patients et aux résultats des traitements.
🕒 il y a 2 mois
🗣️🇺🇸🇬🇧 Anglais requis
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1001 - 5000 employés
Fondée en 1969
⚕️ Assurance santé
💊 Pharmaceutique
🧬 Biotechnologie
Healthcare Insurance • Pharmaceuticals • Biotechnology
Duke Clinical Research Institute est la plus grande organisation académique de recherche clinique au monde, faisant partie de la Duke University School of Medicine. Il mène des recherches innovantes visant à améliorer la santé mondiale, dirigées par des experts réputés et des médecins scientifiques. L'institut se concentre sur la mise en œuvre d'études mondiales et propose divers programmes d'essais cliniques et de recherche sur les services de santé, apportant des perspectives significatives aux soins des patients et aux résultats des traitements.
• Architect and maintain automation pipelines combining internal tools with GPT/Claude and other LLMs • Integrate data across third-party APIs into unified, automated workflows • Leverage structured generation to ensure robust, correct LLM outputs • Collaborate with Ops and R&D to identify high-impact automation opportunities • Write production-grade code with emphasis on modularity, reliability, and error handling • Deploy, scale, and optimize solutions in a secure, cloud-based environment • Document solutions for both technical and non-technical audiences
• 3+ years of production-level coding in Julia and/or Python • Experience integrating LLMs using structured prompts, scaffolding frameworks, or advanced text generation approaches • Strong understanding of concurrency, scaling, and performance optimizations • Familiarity with complex API orchestration • Collaboration and communication skills • Adherence to data-security best practices • Willingness to learn quickly and adapt to new developments in the LLM/AI ecosystem
• Privacy Notice • Professional development opportunities
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