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Latest AI Research jobs at Ataraxis AI

6 jobs

Job results

Ataraxis AI

Ataraxis AI

Member of Technical Staff, Bayesian Statistics
$100k+/yrOn-siteAI Research

Develops novel Bayesian statistical and machine learning methods, production implementations, and evaluation frameworks for clinical AI. The role requires a PhD in statistics or machine learning, strong Python and PyTorch skills, and expertise in Bayesian modeling and deep learning.

Ataraxis AI

Ataraxis AI

Member of Technical Staff, Causality
$100k+/yrOn-siteAI Research

Develops novel causal inference and treatment-effect modeling methods for clinical AI, translating research into production-ready code and evaluation frameworks. Requires a PhD in causality, statistics, or machine learning, strong Python and PyTorch skills, and experience with observational and randomized trial data.

Ataraxis AI

Ataraxis AI

Member of Technical Staff, Survival Analysis
$100k+/yrOn-siteAI Research

Conducts research and develops production-ready survival analysis and machine learning methods for clinical AI, including evaluation frameworks and research publications. Requires a PhD in machine learning or statistics, strong statistical foundations, and expertise in Python and PyTorch.

Ataraxis AI

Ataraxis AI

Member of Technical Staff, Computational Pathology
$100k+/yrOn-siteAI Research

Design, implement, and evaluate novel ML models for computational pathology to predict patient outcomes. Requires PhD in ML, computer vision or statistics, strong publication record, and expertise in PyTorch.

Ataraxis AI

Ataraxis AI

Member of Technical Staff, Foundation Models
$100k+/yrOn-siteAI Research

Design, implement, and evaluate novel self-supervised foundation models for clinical multi-modal data and precision medicine. Requires PhD in ML/statistics, strong publication record in top venues, and expertise in PyTorch/deep learning.

Ataraxis AI

Ataraxis AI

Member of Technical Staff, Translational Science
$100k+/yrOn-siteAI Research

Member of Technical Staff generating clinical insights from multi-modal AI models for precision medicine in oncology. Requires MD/PhD, lead authorship on high-impact papers, ML knowledge, and Python skills.