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AI Engineering Team Lead

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Clario

5001 - 10000 employees

Founded 1973

⚕ Healthcare Insurance

🧬 Biotechnology

đŸ€– Artificial Intelligence

💰 Private Equity Round on 2019-10

Healthcare Insurance ‱ Biotechnology ‱ Artificial Intelligence

Clario is a company specializing in accelerating clinical trials from initiation to implementation through advanced technologies and services. Since 2018, Clario has revolutionized endpoint analyses in clinical trials by integrating over 30 artificial intelligence-enabled solutions across more than 600 active trials, enhancing data quality and patient privacy while expediting data collection processes. Clario provides a comprehensive clinical trial management platform, offering solutions such as eCOA, cardiac safety, medical imaging, precision motion, and respiratory services in various therapeutic areas including oncology, cardiology, and neurology. Known for its global reach, Clario supports clinical trials in over 100 countries with a strong focus on decentralized and hybrid trial models. The company's commitment to patient safety and innovation is reflected in their over 26,000 trials and involvement in numerous new drug approvals.

📋 Description

‱ Lead the planning, execution, and delivery of multiple AI initiatives, ensuring projects meet scope, timelines, quality expectations, and business objectives ‱ Mentor and support AI Engineers by setting clear direction, providing coaching, and building a high-performing project team ‱ Partner with stakeholders across product, science, clinical, operations, and engineering to define requirements, priorities, milestones, risks, and success metrics ‱ Translate stakeholder needs into technical roadmaps, delivery plans, and resourcing strategies for AI-powered products and platforms ‱ Guide solution design, software development, model integration, testing, deployment, and operational support across the AI project portfolio ‱ Drive strong AI research and engineering practices across the team ‱ Coordinate dependencies, remove blockers, and communicate project status, risks, and tradeoffs clearly to leadership and stakeholders ‱ Balance innovation and experimentation with execution discipline, scalability, reliability, and compliance considerations ‱ Contribute to hiring, onboarding, team planning, and continuous improvement of delivery processes and engineering standards

🎯 Requirements

‱ Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field ‱ 7+ years of experience in software engineering, AI engineering, machine learning, or related technical roles ‱ 2+ years of experience leading teams, technical programs, or cross-functional delivery efforts ‱ Demonstrated success delivering AI/ML or data-driven software solutions from concept through production ‱ Strong proficiency in Python and familiarity with modern AI/ML tooling, backend services, APIs, and data pipelines ‱ Experience with cloud-based architectures and production deployment of software or AI solutions ‱ Proven ability to work effectively with technical and non-technical stakeholders and drive alignment across competing priorities ‱ Strong people leadership, communication, planning, and problem-solving skills ‱ Commitment to high-quality, secure, scalable, and maintainable solutions ‱ Experience in healthcare, life sciences, biotech, or other regulated environments is a plus ‱ Familiarity with generative AI, LLM-enabled workflows, retrieval systems, or AI-assisted product capabilities is a plus

đŸ–ïž Benefits

‱ Competitive Compensation and Incentives ‱ Attractive Benefits (Pension, Private Health Coverage, Life Assurance & Salary Sacrifice Schemes) ‱ Flexible Time Off Policy ‱ Engaging Employee Programs ‱ Technology for Remote/Hybrid Working

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