Ataraxis AI
Member of Technical Staff, Causality
$100K–$300K
New York HQ · Staff · Full-time · Posted Aug 10, 2026
- Education
- PhD degree in causality, statistics or machine learning.
About the job
Develops causal inference methods and evaluation frameworks for modeling treatment effects, translating research into production code and sharing findings through publications.
What you'll do
- Design and implement causal inference methods for treatment effect modeling and build model evaluation frameworks.
- Translate machine learning papers into production-ready code.
- Co-author research papers and abstracts, collaborate with engineers and scientists, and co-mentor junior team members.
What they ask for
- PhD in causality, statistics, or machine learning.
- Deep understanding of causal inference and experience with observational and randomized trial data.
- Strong foundations in machine learning, statistics, linear algebra, and probability.
- Excellent skills in Python and PyTorch; experience in deep learning.
Nice to have
- Papers in A* conferences or top-tier statistics and causality journals.
- Experience in survival analysis, multi-modal learning, domain adaptation, model interpretability, computational pathology, or medical data.
Pay
$100K – $300K (base salary)
Tools
Python, PyTorch
AI focus
Develops causal inference methods for treatment effect modeling in clinical AI research.
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