About Ataraxis AI

Ataraxis AI is a VC-backed start-up working at the intersection of multi-modal AI, oncology, and precision medicine. We are building cutting-edge diagnostic tools to assist physicians in selecting the most optimal treatments for their patients.

We are a team of AI researchers, medical doctors and operators advised by a team of advisors who are pioneers in their respective fields, including the AI godfather, Yann LeCun, and oncologists at top cancer research institutes.

At Ataraxis, you will have a unique opportunity to shape not just the future of our company, but the future of healthcare. We are looking to bring on highly motivated candidates to fulfill this mission.

We operate with a flat organizational structure where every team member is expected to actively contribute. Leadership roles are earned by those who demonstrate initiative and deliver consistently high performance. Strong work ethic and the ability to prioritize effectively are essential. All candidates must communicate clearly, sharing insights accurately and concisely with teammates. We don’t use recruiters — each application is reviewed personally by a relevant team member and/or founders.

Responsibilities

Design and implement novel machine learning models for survival analysis, multi-modal learning, and causal inference.
Translate machine learning and statistics research papers into production-ready code.
Build robust model evaluation frameworks, monitor model performance and optimize it with a focus on clinically relevant metrics.
Disseminate the results, participating in co-authoring research papers and abstracts.
Closely collaborate with a multidisciplinary team of engineers and scientists.

Qualifications

BS degree in a quantitative discipline, MS/PhD in computer science, statistics, or related field preferred.
Passion for research. Strong preference will be given to candidates with published papers in A* conferences (ICML, ICLR, NeurIPS).
Strong understanding of core machine learning concepts. Strong preference will be given to candidates with experience in survival analysis and/or causal inference.
Experience in deep learning, medical image analysis and computer vision is highly desirable.
Excellent knowledge of the foundations of statistics, linear algebra, probability and machine learning.
Excellent skills in Python and PyTorch.

Compensation Range: $100K - $170K

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