Job Description

Head Of Artificial Intelligence Lab - Innovations

The job holder will drive AI research and development in healthcare, aligning projects with the center's goals. They will prioritize and initiate key research areas, implement long-term strategies, and identify high-impact projects. The job holder will foster collaboration between researchers, engineers, and high-potential startups, building a dynamic team to turn innovative ideas into products. Strategic Responsibilities: Set, implement, and continuously refine the long-term vision, mission, and strategic objectives of the AI lab at the innovation center, ensuring alignment with the center's overall goals. Establish the AI lab as a thought leader in healthcare AI by driving research excellence and innovation in areas such as predictive analytics, personalized medicine, and AI-assisted diagnostics. Core Responsibilities: Oversee and guide the identification, development, and execution of high-impact internal projects with commercialization potential, ensuring alignment with market needs and organizational objectives. Evaluate research ideas and identify projects with strong technical and commercial feasibility, connecting researchers with engineers, product developers, and business strategists for successful execution. Lead the recruitment, development, and retention of a multidisciplinary team of AI researchers, software engineers, data scientists, and product managers to foster innovation and operational excellence. Build robust frameworks and workflows to convert research concepts into prototypes and deployable solutions at scale. Define clear performance metrics and monitor the progress of research projects, identifying challenges early and implementing course corrections to achieve goals. Foster a culture of creativity, collaboration, and experimentation within the AI lab, encouraging team members to push the boundaries of innovation while adhering to ethical AI practices. Provide thought leadership in publishing research papers, patents, and whitepapers to establish the labaEUR(TM)s reputation in the global AI and healthcare research community. Ensure compliance with data privacy, security, and regulatory standards while designing and deploying AI solutions. Identify emerging trends in AI and healthcare to prioritize research areas that align with both short- and long-term organizational impact. Design programs and initiatives to attract high-potential startups, entrepreneurs, and innovators, creating a thriving ecosystem within the AI lab. Cultivate strategic relationships with academic institutions, technology leaders, healthcare providers, and government bodies to enhance the labaEUR(TM)s research and development impact. Develop and execute a strategy to secure funding from public and private sector sources, including grants, venture capital, and industry partnerships. Build partnerships with global AI labs, innovation hubs, and think tanks to exchange knowledge and collaborate on cutting-edge projects. Spearhead initiatives to promote diversity and inclusion within AI research and ensure that AI solutions are ethical, unbiased, and accessible. Developmental Responsibilities: Collaborate with the reporting manager to define clear, measurable performance goals for the year and regularly review progress, updating priorities as needed. Demonstrate ownership of personal and professional development by proactively identifying learning opportunities such as certifications, conferences, workshops, and mentorships. Stay updated with the latest advancements in AI, healthcare technologies, and research methodologies through continued education, peer collaboration, and professional networks. Regularly self-assess and enhance competencies relevant to the role, including strategic thinking, leadership, technical expertise, and project management. Actively contribute to fostering a positive work environment by promoting teamwork, knowledge sharing, and continuous feedback. Encourage a growth mindset within the team by modeling curiosity, adaptability, and resilience in the face of challenges. Educational Requirements: Minimum of a MasteraEUR(TM)s degree, preferably a Ph.D., in Computer Science, Computer Engineering, Artificial Intelligence, or a closely related field. Overall Experience: A minimum of 10-year experience: mix of professional and academic At least 10 years of combined professional and academic experience in Artificial Intelligence, with a proven ability to bridge research and practical applications. A strong research portfolio showcasing expertise in applying Artificial Intelligence to medical applications, healthcare technology innovation, or related areas. Demonstrated success in securing and managing external research funding and establishing academic and industry collaborations. Exceptional communication skills, both written and verbal, with the ability to effectively engage, inspire, and collaborate with diverse stakeholders, including students, colleagues, and external partners. Seniority level

Mid-Senior level Employment type

Full-time Job function

Administrative, Other, and Health Care Provider Industries

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