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Ataraxis AI

Research Scientist

Develops novel ML models for self-supervised learning, survival analysis, multi-modal learning, causal inference, and interpretability in oncology precision medicine. Requires PhD in ML/statistics, PyTorch expertise, and research publications.

120k – 210kNew York, NYAI ResearchOnsite
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About the role

Responsibilities

  • Design and implement novel machine learning models and methods for self-supervised learning, survival analysis, multi-modal learning, causal inference and interpretability.
  • Translate machine learning and statistics papers into production-ready code.
  • Build robust model evaluation frameworks and monitor model performance.
  • Disseminate the results by co-authoring research papers and abstracts.
  • Collaborate with a multidisciplinary team of engineers and scientists. Co-mentor our team of research engineers.

Qualifications

  • PhD degree in machine learning or statistics.
  • Passion for research, attention to detail and ability to drive tasks to completion. Strong preference will be given to candidates with papers in A* conferences (e.g. ICML, ICLR, NeurIPS).
  • Excellent understanding of core machine learning concepts.
  • Excellent knowledge of the foundations of statistics, linear algebra, probability and machine learning.
  • Excellent skills in Python and PyTorch.
  • Experience in deep learning and at least one of {self-supervised learning, survival analysis, multi-modal learning, domain adaptation, causal inference, model interpretability, computational pathology}.

Skills

PythonPyTorchDeep LearningSelf-Supervised LearningSurvival AnalysisMulti-Modal LearningCausal InferenceModel InterpretabilityDomain AdaptationComputational Pathology

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