Research Scientist, Causal Inference (PhD)

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 baseline and novel causal inference methods for treatment effect modeling, and implement them into real-life tools for actionable treatment recommendations.

• Convert theoretical causal identification strategies into production-ready systems.

• Build robust frameworks for analysis, validation, and optimization of causal inference models.

Qualifications

• PhD in machine learning, statistics, or mathematics.

• Deep theoretical understanding of causal inference methods and concepts.

• Good understanding of and previous experience working with observational and randomized trial data.

• Passion for research. Preference is given to candidates with a track record of publications in top-tier AI conference venues or peer-reviewed journals.

• Python mastery.