Director of Data Science / Machine Learning
💰 $250,000 – $275,000/yr
At a glance
- Who can apply
- Worldwide
- Work arrangement
- Remote · Worldwide
- Employment type
- Full-time
- Seniority
- Director
- Salary
- $250,000 – $275,000/yr · published by the employer
Checked against the employer's source on October 15, 2026. Details come from the employer's posting; confirm them on the application page.
Job Description
About the Role
Adonis is seeking a strategic AI/ML Leader to drive the development, implementation, and governance of artificial intelligence and machine learning initiatives across the organization. This role combines deep healthcare domain expertise with advanced AI/ML knowledge to deliver cutting-edge, compliant, and valuable AI solutions to healthcare customers. You'll position AI as a core enabler of Adonis's mission to fix the financial health of the healthcare system, working at the intersection of data science, engineering, product development, and healthcare industry expertise.
Key Responsibilities
- AI Strategy & Vision: Develop and execute the overarching AI/ML strategy aligned with business objectives and healthcare industry needs
- Incremental Value Delivery: Balance long-term strategic AI initiatives with quick wins that deliver immediate business impact for revenue cycle management
- Team Leadership: Lead and mentor the Data Science and Machine Learning teams, fostering innovation and excellence in AI development
- AI Governance & Compliance: Establish and maintain a robust AI governance framework ensuring solutions meet healthcare regulatory requirements (HIPAA, FDA, etc.)
- Solution Architecture: Design scalable, production-ready AI/ML architectures that drive value for healthcare customers
- Value Demonstration: Quantify and communicate tangible benefits of Adonis AI solutions to customers, partners, and stakeholders
- MLOps Excellence: Drive best practices for deploying, monitoring, and maintaining AI models in production environments
- Cross-functional Collaboration: Partner with Product, Engineering, Sales, and Customer Success teams to ensure maximum value delivery
Required Experience
- Eight or more years of hands-on experience with AI/ML and deep understanding of machine learning techniques applicable to healthcare
- Substantial experience in healthcare technology, clinical workflows, or related healthcare domain expertise
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