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Member of Technical Staff, Bayesian Statistics

ataraxis-ai · New York

🇬🇧 English
Python PyTorch Gaussian processes Bayesian clinical trial design deep learning uncertainty quantification model explainability linear algebra probability statistics

Job description

About the role

Ataraxis AI is a clinical AI research lab focused on multi‑modal AI and precision medicine. As a Member of Technical Staff in Bayesian Statistics, you will develop cutting‑edge Bayesian methods that improve patient outcome predictions and support treatment decisions.

Key responsibilities

  • Design and implement novel Bayesian statistics methods for clinical data.
  • Translate state‑of‑the‑art machine‑learning papers into production‑ready code.
  • Build robust model evaluation frameworks and pipelines.
  • Co‑author research papers, abstracts, and technical reports.
  • Collaborate with engineers, scientists, and clinicians across disciplines.
  • Mentor junior team members and share best practices.

Required profile

  • PhD in statistics, machine learning, or a closely related field.
  • Strong research track record, preferably with publications in top AI conferences (ICML, ICLR, NeurIPS, CVPR) or leading statistics journals.
  • Attention to detail, ability to drive projects to completion, and passion for scientific inquiry.

Required skills

  • Bayesian statistics, including Gaussian processes and Bayesian clinical trial design.
  • Python programming and PyTorch deep‑learning framework.
  • Experience with uncertainty quantification and model explainability in deep learning.
  • Solid foundation in linear algebra, probability, and core machine‑learning concepts.

Questions fréquentes

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Source : ats:ashby

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Published 1 month ago

Expires 2 weeks from now

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ataraxis-ai

New York