Machine Learning Scientist

Ground Truth Labs is a well-funded, early-stage startup developing state-of-the-art digital technologies to better understand, diagnose, and treat blood cancer patients. They are seeking a Machine Learning Scientist to play a critical role in developing new spatial biology biomarkers for haemato-oncology, utilizing advanced machine learning and computer vision techniques to analyze cell and tissue morphology.

Responsibilities:

• Design, develop and implement advanced deep-learning models to extract valuable insights from histology imaging data
• Collaborate with cross-functional teams, including engineers, clinical experts, and product managers, to identify opportunities for data-driven solutions and interpretable algorithms that address clinical questions
• Develop and maintain scalable data pipelines and infrastructure to support data science projects
• Manage product, software and clinical and regulatory inputs and requirements to translate research algorithms into clinical-grade tools suitable for use in the real world
• Communicate results and insights to stakeholders and key decision-makers. As well as publicly in research publications and and conference abstracts
• Stay up-to-date with the latest developments in the field of machine learning, medical imaging, and data science