Member of Technical Staff, Survival Analysis

Responsibilities
Design and implement novel survival analysis methods.
Translate machine learning papers into production-ready code.
Build robust model evaluation frameworks.
Disseminate the results by co-authoring research papers and abstracts.
Collaborate with a multidisciplinary team of engineers and scientists.
Co-mentor junior members of the team.

Qualifications
PhD degree in machine learning or statistics.
Excellent knowledge of survival analysis methods.
Passion for research, attention to detail and ability to drive tasks to completion. Strong preference will be given to candidates with papers in A* conferences (e.g. ICML, ICLR, NeurIPS, CVPR) or top-tier statistics journals.
Excellent understanding of core machine learning concepts.
Excellent knowledge of the foundations of statistics, linear algebra, probability and machine learning.
Excellent skills in Python and PyTorch.
Experience in deep learning. Experience in self-supervised learning, multi-modal learning, domain adaptation, causal inference, model interpretability and computational pathology is a bonus.