About Ataraxis AI
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.
Responsibilities
Generating scientific/clinical insights from data produced by the AI models. Identifying areas to improve for the AI models.
Collaborating on and contributing to publications in scientific and clinical journals.
Summarizing the research in the form of abstracts to be presented at scientific meetings.
Collaborating with a team of AI researchers, AI engineers, biostatisticians and translational scientists.
Collaborating with external clinical partners.
Drafting applications for access to clinical trial data.
Qualifications
MD or PhD in a scientific discipline.
Passion for research, attention to detail and ability to drive tasks to completion.
Prior lead author papers published in high profile scientific and/or clinical journals.
Excellent understanding of basic machine learning concepts.
Excellent skills in Python.
Exceptional spoken and written communication skills.
Experience in cancer/oncology research is a bonus.