Ataraxis is a clinical AI research lab working at the intersection of multi-modal AI and precision medicine. Our goal is to make disease predictable. To accomplish this, we develop new AI methods that predict patient outcomes and treatment response, and build clinical tools to assist physicians in selecting the most optimal treatments for their patients.
Our AI research lab discovers and develops methods to recognize patterns and predict outcomes across complex, multi-modal clinical data. This spans our causality (Ataraxis™ Tau), foundation model (Falcon and Kestrel for digital pathology), and survival analysis research.
Our first clinical products, such as Ataraxis™ Breast for breast cancer, already help patients get the most appropriate treatment across the best academic institutions and community clinics worldwide.
At Ataraxis, you will have a unique opportunity to shape not only the future of our company, but also the future of healthcare. You will join an exceptional team at the forefront of clinical AI research and deployment. Our advisors include AI pioneers such as our founding advisor, Yann LeCun, and distinguished oncologists from top cancer research institutions, all united by the mission to redefine precision medicine.
Ataraxis has raised over $24 million in funding, including a $20 million Series A led by top venture capital funds such as Thiel Capital/Founders Fund (OpenAI, SpaceX, Palantir), Obvious Ventures (AMI Labs, Inceptive, Radical Numerics, Recursion), and AIX Ventures (Hugging Face, Perplexity).
We are an 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.
ResponsibilitiesDesign and implement statistical evaluation plans for Ataraxis AI models.
Write applications for access to data from completed clinical trials.
Evaluate AI models on data from completed clincial trials.
Collaborate with a multidisciplinary team of engineers and scientists.
Collaborate on research projects with academic and industrial partners.
Contribute to regulatory submissions.
Present findings to stakeholders, including non-technical audiences, and contribute to scientific publications and presentations.
Mentor junior biostatisticians and data scientists.
PhD degree in statistics or biostatistics, or equivalent experience. Strong track record of publications in biostatistics.
Significant experience in developing statistical plans for analysis of clinical studies, especially data from oncology clinical trials.
Strong problem-solving skills, experience with data visualization and reproducible research practices.
Excellent skills in Python and R. Proficiency in handling large and complex biomedical datasets, including genomic, imaging, and clinical data.
Expertise in survival analysis, Bayesian methods and causality.
Familiarity with modern machine learning methods.