Clinical Development, 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 (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.

• 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

• 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