AI, Algorithms & Data Lead

We are looking for an AI, Algorithms & Data Lead to drive the development and implementation of AI, machine learning, algorithms, and data-driven solutions in the healthcare technology space. This is an exciting opportunity for a hands-on technical leader to shape AI and data initiatives, translate complex clinical data into actionable insights, and contribute to the development of innovative technologies that support clinical decision-making and improve patient care. You will lead the AI and data domain, combining technical ownership and hands-on development with responsibility for data strategy, algorithm development, and collaboration across multidisciplinary teams. The role includes direct management of a Data Analyst. Key Responsibilities Lead the AI and data domain, defining technical direction, priorities, and development plans. Drive the research, development, and validation of AI/ML models and algorithms using complex real-world medical data. Oversee data analysis, data pipelines, and the development of data-driven solutions. Translate clinical and business requirements into practical AI, algorithmic, and data solutions. Take an active role in technical design, algorithm development, experimentation, and evaluation. Drive the transition from research and proof of concept to validated, production-ready solutions. Collaborate closely with software engineering, clinical, regulatory, product, and business stakeholders. Ensure that AI and data solutions meet requirements for performance, reliability, scalability, and data security. Identify opportunities for technological innovation and contribute to intellectual property development. Manage and support a Data Analyst, providing professional guidance and aligning data activities with broader technological goals. Requirements Strong technical background in AI/ML, algorithms, data science, or a related field. Hands-on experience developing and evaluating AI/ML models or algorithmic solutions. Experience working with complex datasets, data pipelines, and data-driven systems. Strong programming skills and the ability to translate research and analytical concepts into practical solutions. Experience leading a technical domain, project, or initiative, with the ability to set priorities and drive execution. Ability to work effectively with multidisciplinary teams and translate business or clinical needs into technical requirements. A proactive, hands-on approach, combining analytical thinking, technical judgment, and problem-solving skills. Experience in healthcare technology, digital health, medical devices, clinical data, or regulated environments is a significant advantage. Experience with software architecture, production deployment, or bringing AI-based solutions from research into real-world use is an advantage. Show more Show less