Member of Technical Staff, Computational Pathology

What you'll do

• Design and implement machine learning models and methods for computational pathology; translate research papers into production-ready code.
• Build model evaluation frameworks and monitor model performance.
• Co-author research papers and abstracts, collaborate with engineers and scientists, and co-mentor junior team members.

What they ask for

• PhD degree in machine learning, computer vision or statistics.
• Excellent understanding of core machine learning concepts and foundations of statistics, linear algebra, probability and machine learning.
• Excellent skills in Python and PyTorch.
• Experience in deep learning and computational pathology.

Nice to have

• Papers in A* conferences (e.g. ICML, ICLR, NeurIPS, CVPR) or top journals.
• Experience in self-supervised learning, survival analysis, multi-modal learning, domain adaptation, causal inference or model interpretability.

Pay

$100K – $300K (base salary)

Tools

Python, PyTorch

AI focus

Research and develop machine learning methods for computational pathology, including models that predict patient outcomes and treatment response.