4 дня назад
Senior Director, Agentic AI and Clinical Trial Platforms (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Director, Agentic AI and Clinical Trial Platforms (AI): Leading multidisciplinary teams building scalable agentic AI platforms and multimodal AI services for clinical trial applications with an accent on platform architecture, enterprise adoption, and regulated deployment. Focus on designing reusable AI agents, implementing MLOps and LLMOps governance, and translating clinical and business requirements into production-ready systems.
Location: Belgium Remote; remote or hybrid working available.
Company
, part of Thermo Fisher Scientific, develops technology, data science, and artificial intelligence solutions to improve clinical research, evidence generation, and patient outcomes.
What you will do
- Lead a multidisciplinary organization of AI engineers, data scientists, software engineers, and platform engineers.
- Own the delivery, governance, adoption, and evolution of AgentOS as a reusable enterprise platform for agentic capabilities.
- Design and deploy AI agent platforms supporting reusable agents, orchestration, intelligent automation, and human-in-the-loop workflows.
- Oversee multimodal AI services using clinical outcomes, text, audio, sensor, and other clinical trial data.
- Lead cloud-based AI and machine learning services, preferably using AWS SageMaker and related AWS technologies.
- Partner with product, clinical, regulatory, commercial, technology, and executive stakeholders to deliver measurable AI outcomes.
Requirements
- Bachelor’s degree in computer science, engineering, data science, artificial intelligence, biomedical informatics, or a related field; an advanced degree is preferred.
- Extensive experience leading AI, machine learning, data science, advanced analytics, or software engineering organizations.
- Hands-on experience designing, building, deploying, and operating cloud-based AI/ML platforms, including strong expertise with AWS SageMaker.
- Experience with generative AI and agentic systems, including large language models, retrieval architectures, orchestration, tool integration, observability, and evaluation.
- Expertise in software engineering and platform architecture, including APIs, scalable distributed systems, DevOps, MLOps, security, and enterprise cloud platforms.
- Experience leading large-scale technical initiatives from concept through production deployment and aligning executive, technical, clinical, and business stakeholders.
Nice to have
- Experience in life sciences, clinical trials, regulated healthcare technology, or another highly regulated industry.
- Familiarity with regulatory requirements, validation practices, privacy standards, and security controls for AI-enabled solutions.
- Advanced degree in a relevant field.
Culture & Benefits
- Competitive compensation.
- Benefits supporting security, flexibility, well-being, and personal support.
- Opportunities to mentor leaders and individual contributors.
- Culture focused on innovation, execution, learning, technical excellence, and continuous improvement.
- Work contributing to clinical science and faster delivery of life-changing therapies to patients.
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