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 https://www.ataraxis.ai/research-causality (Ataraxis™ Tau), foundation model https://www.ataraxis.ai/research---representation-learning (Falcon and Kestrel for digital pathology), and survival analysis https://www.ataraxis.ai/research-survival-analysis research.
Our first clinical products, such as Ataraxis™ Breast https://www.ataraxis.ai/ataraxis-breast-overview 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
- Identify and engage researchers and institutions for potential data access and research collaborations
- Lead initial conversations to explain project scope and assess partnership fit
- Translate collaboration discussions into clear data requirements and specifications
- Draft partnership materials (summaries, proposals, early agreement language) for internal and legal review
- Track outreach and partnership status, and manage timely follow-up through to execution
QUALIFICATIONS
- Preferred: PhD in a scientific or clinical discipline; Master's degree with relevant experience also considered
- Exceptional spoken and written English communication skills
- Strong organizational skills and comfort managing many parallel relationships and deadlines without things slipping
- Experience or familiarity with clinical/research data (clinical trials, biobanks, pathology, or similar) is a strong plus
- Comfort drafting business documents (one-pagers, basic contract language) — prior experience with data use agreements, MTAs, or research collaboration agreements is a bonus