Clinical Development, New Indications

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 source real-world datasets, clinical trial datasets, and biobank resources needed to validate the platform's performance in a new tumor type, and help design the evidence-generation plan (retrospective validation, prospective studies, biomarker correlation analyses) to support it - Build and manage a network of relationships with key opinion leaders, clinical investigators, and research collaborators — to stress-test clinical hypotheses, shape study design, and identify potential trial sites, co-authors, and early clinical champions - Translate emerging clinical and scientific findings into internal knowledge (memos, evidence summaries, draft manuscripts/abstracts, medical affairs collateral) that will inform future medical affairs and commercial teams - Partner with engineering and research teams, translating clinical and biological context (endpoints, staging, standard-of-care nuances, patient population definitions) into requirements for clinical-grade model development QUALIFICATIONS - Preferred: PhD or a Master's degree in a relevant field - Strongly preferred: 2+ years of experience in clinical development, clinical research, medical affairs, translational research, or clinical operations within biotech, pharma, or diagnostics - Familiarity with clinical trial design, biobank/dataset landscapes, or evidence-generation planning (e.g., retrospective validation studies, biomarker studies) - Strong soft skills and the ability to speak to varied audiences, from clinical KOLs to software engineers. Optional but preferred: experience presenting scientific content at conferences or in clinical settings - Bias for action, ability to form independent thought on complex topics where you don't have a lot of information and will have to trust your intuition, thinking from first principles