Ataraxis AI

Conducts high-volume scientific outreach to oncologists and surgeons, presenting clinical evidence and converting interest into orders, early access participation, or qualified sales opportunities. Requires a PhD, MD, or PharmD, strong oncology expertise, persuasive communication, and comfort with commercial goals.

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.

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.

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.

Research Engineer implementing novel ML models for clinical AI, focusing on self-supervised learning, survival analysis, multi-modal data, causality, and interpretability to predict patient outcomes in precision medicine. Requires strong Python/PyTorch skills, deep learning experience, and statistics foundations; publications are a plus.

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.

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.

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.