Algorithms Team Lead

We are hiring a Team Lead for Nucleai's Algorithm 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.
  
  

• 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.
  
  

• 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.