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Founding Recruiter

Ataraxis AI - New York, NY, USA - Hybrid - posted 2026-10-15

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Ataraxis AI is a clinical AI research lab at the intersection of multi-modal AI and precision medicine, working to make disease predictable. The company develops AI methods that predict patient outcomes and treatment response, and builds clinical tools to assist physicians in selecting optimal treatments. Their research spans causality (Ataraxis™ Tau), foundation models (Falcon and Kestrel for digital pathology), and survival analysis. Their first clinical products, such as Ataraxis™ Breast for breast cancer, are already deployed across academic institutions and community clinics worldwide. The company has raised over $24 million in funding, including a $20 million Series A led by Thiel Capital/Founders Fund, Obvious Ventures, and AIX Ventures. Advisors include AI pioneer Yann LeCun and distinguished oncologists from top cancer research institutions. As Founding Recruiter, you will own full-cycle recruiting from sourcing through close. You will source creatively using competitor mapping, adjacent industries, referrals, and AI-powered tools. You will build the hiring engine, including interview processes, scorecards, candidate experience, and funnel and time-to-fill reporting. You will manage outside recruiting partners as needed and help shape how the team grows. The company operates with a flat organizational structure where every team member is empowered to actively contribute, and leadership roles are earned through demonstrated initiative and exceptional results. REQUIREMENTS: - 3+ years of full-cycle recruiting, including in-house at an early-stage or high-growth startup - Comfort with technical or research hiring, or a strong desire to learn it - Track record of high-volume GTM hiring (e.g., account executives or field sales); healthcare, diagnostics, or life sciences experience is a plus - Fluency with modern recruiting and AI tools; ability to automate repetitive work - Speed and ownership: ability to move from outreach to signed offer quickly without lowering the bar - Bias for action

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