Machine Learning Scientist
Core
Develop deep-learning algorithms and scalable data pipelines to analyze histology imaging data and extract insights for spatial biology biomarkers in haemato-oncology.
Role type
Machine Learning Scientist (Research & Product)
Builds
Clinical-grade algorithmic tools for blood cancer diagnosis and treatment
Domain
Biotech / Medical Imaging / Deep Learning
Deliverable
production ML models
Required skills
Deep learning, statistical analysis, Python, PyTorch, large image dataset processing, algorithm design, data pipeline development
Preferred skills
Computational pathology, single-cell transcriptomics, multimodality integration, clinical biology knowledge, publication record
Technologies
Python, PyTorch
Responsibilities
Design and implement deep-learning models for histology imaging; develop and maintain scalable data pipelines; translate research algorithms into clinical-grade tools; collaborate with engineering and clinical teams; communicate results to stakeholders and publish research.
Seniority
Senior, hands-on IC with research leadership
