We are hiring a Team Lead for Nucleai's Algorithms team. Come and join our team of experienced AI engineers and world-renowned clinicians, and help us make a difference.

A cancer patient wants to know that their diagnosis and treatment are determined with the greatest precision while using the most advanced technology. At Nucleai, we bring cutting-edge AI to cancer patients, by transforming biopsy analysis to enable precision medicine.

Why join us?

There are plenty of reasons:

• Your job matters, use your experience and skills to implement solutions that save lives.
• Come as you are, Do what you love: We are a diverse team who are inspired to let our people bring their real self to work by providing an inclusive respectful work environment, and openness to feedback and ideas.
• Won the Atlas Award (2022).
• Top 20 Duns 100 Best Start Up Companies to work for (2022).
• Top 10 Duns 100, Best Start Up Companies promoting diversity and inclusion (2022).
• Work with amazing people that share a passion for using technology as a tool to achieve great things.

Responsibilities:

• Be at the forefront of driving innovation in the field of computer vision and deep learning for personalized medicine.
• Lead a team of experts in the development of cutting-edge computer vision algorithms and deep learning models that harness the power of medical imaging to discover novel digital biomarkers and improve patient outcomes.
• Lead the analysis of large, complex datasets and lead the development of innovative solutions that utilize multiple data modalities, including tissue samples, genomics, and clinical data.
• Play a critical role in defining Nucleai's AI strategy in the field of computer vision and deep learning, ensuring that the team's research aligns with the company's goals, and fostering a culture of innovation and collaboration.
• Establish and maintain partnerships with medical institutions and academia.
• Collaborate with medical institutions to integrate real-world evidence into impactful, evidence-based solutions.

Requirements:

• MSc/PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• 8+ years of experience in machine learning and computer vision.
• Deep technical knowledge in computer vision, deep learning, and supporting software and MLOps environments.
• Track record of prototyping and delivering production-level solutions to meet business and customer needs.
• Excellent leadership skills.
• Strong communication and interpersonal skills, with the ability to build and maintain relationships with research institutions and academia.
• High-quality publications - Is an advantage.
• Actively participating in open-source projects and ML competitions (Kaggle) - Is an advantage.