Ataraxis AI
Member of Technical Staff, Bayesian Statistics
$100K–$300K
New York HQ · Staff · Full-time · Posted Aug 10, 2026
- Education
- PhD degree in statistics or machine learning.
About the job
Develop Bayesian statistical methods and production-ready machine learning code for clinical AI, while building evaluation frameworks and contributing to research.
What you'll do
- Design Bayesian statistics methods, translate machine learning papers into production-ready code, and build model evaluation frameworks.
- Co-author research papers and abstracts; collaborate with engineers and scientists and co-mentor junior team members.
What they ask for
- PhD in statistics or machine learning.
- Excellent knowledge of Bayesian statistics, including Gaussian processes and Bayesian clinical trial design, and strong understanding of machine learning and statistical foundations.
- Excellent skills in Python and PyTorch.
- Experience applying Bayesian statistics to uncertainty quantification in deep learning and model explainability; experience in deep learning.
Nice to have
- Papers in A* conferences or top-tier statistics journals.
- Experience in self-supervised learning, survival analysis, multi-modal learning, domain adaptation, causal inference, model interpretability, or computational pathology.
Pay
$100K – $300K USD base salary
Tools
Python, PyTorch, Gaussian processes
AI focus
Develop clinical AI methods and apply Bayesian statistics to uncertainty quantification and model explainability in deep learning.
Model-written summary · the original posting is authoritative