Biostatistician

About Ataraxis AI

Ataraxis is an AI precision medicine company working at the intersection of multi-modal artificial intelligence and oncology. We develop and deploy AI-native tools to assist physicians in selecting the most optimal treatments for their patients.

Our mission is to change how cancer is treated and impact at least 50% of new cancer cases by 2030. Our first test for breast cancer patients was developed and evaluated in a validation study on over 8,000 patients from 15 international institutions. Ataraxis Breast was shown to improve the accuracy of gold standard tests by 30% and enable testing expansion to 100,000 new patients annually. At Ataraxis, you will have a unique opportunity to shape not only the future of our company, but also the future of healthcare.

At Ataraxis, you will join an exceptional team at the forefront of healthcare-focused AI research and deployment. As a frontier AI lab, we bring together leading AI researchers, medical doctors, and industry veterans. Our advisors include AI pioneers such as Yann LeCun and distinguished oncologists from top cancer research institutions, all united by the mission to redefine precision medicine.

Ataraxis has raised $24 million in funding, including a recent $20.4 million Series A round led by top venture capital funds such as AIX Ventures (Hugging Face, Perplexity), Thiel Capital, Founders Fund (OpenAI, SpaceX, Palantir, Oscar Health), and Obvious Ventures (Recursion). Our company was recently covered in an exclusive story in TechCrunch, "Not all cancer patients need chemo."

We are an AI-native company with a flat organizational structure, where every team member is empowered to actively contribute. Leadership roles are earned by those who demonstrate initiative and consistently deliver exceptional results. Strong work ethic and the ability to prioritize ruthlessly are essential.

Responsibilities

• Design and implement statistical evaluation plans for Ataraxis AI models

• Collaborate on research projects with academic and industrial partners

• Contribute to the preparation of regulatory submissions

• Present findings to stakeholders, including non-technical audiences, and contribute to scientific publications and presentations

Qualifications

• MS degree in statistics or biostatistics, PhD preferred. Preference will be given to candidates with a strong track record of publications in biostatistics

• Significant experience in developing statistical plans for analysis of clinical studies, especially data from clinical trials

• Strong problem-solving skills and experience with data visualization

• Excellent skills in Python and R

• Familiarity with modern machine learning methods