Chief Data Scientist — AI Healthcare Technology

Clarify AI; United States; Hybrid; USD 280.000 - 360.000; Vollzeit

Zusammenfassung

Clarify AI seeks a visionary Chief Data Scientist to lead its data science efforts and shape the future of AI in healthcare. You will drive innovation, guide a high-performing team, and align data science strategy with business goals to transform how billing is understood and managed across the healthcare system.

In this role, you will collaborate with Product, Engineering, Clinical, Compliance, and Business Development to ensure solutions meet real-world needs, optimize healthcare billing, and

Qualifikationen

• 10+ years as a data scientist with healthcare/healthtech experience preferred.
• Proven leadership in building and managing multidisciplinary data teams.
• Hands-on experience deploying production-grade ML solutions.
• Strong ethics, governance, and privacy practices in healthcare.

Aufgaben

• Define and lead Clarify AI's data science strategy, with a focus on innovation, impact, and scalability.
• Oversee the design of scalable data pipelines and model deployment infrastructure for real-time and batch inference.
• Translate complex technical insights into clear, actionable updates for executive stakeholders and external partners.
• Recruit, mentor, and develop a world-class data science team, fostering curiosity, rigor, and innovation.
• Collaborate cross-functionally with Product, Engineering, Clinical, Compliance, and Business Development to meet real-world needs.

Kenntnisse

Data science leadership

Healthcare/healthtech experience

Machine learning & AI

Python / R

ML deployment & production

Ausbildung

Master's or PhD in Computer Science / Data Science / Statistics

Tools

Python

R

TensorFlow

Keras

PyTorch

Jobbeschreibung

Chief Data Scientist — AI Healthcare Technology

Data Science Remote — U.S. Full Time

Job Description

Clarify AI seeks a visionary Chief Data Scientist to lead our data science efforts and help shape the future of AI in healthcare. In this role, you'll drive innovation, guide a high-performing team, and align data science strategy with business goals to transform how billing is understood and managed across the healthcare system.

• Define and lead Clarify AI's data science and AI strategy, with a focus on innovation, impact, and scalability.
• Champion the responsible and ethical use of AI in healthcare, prioritizing transparency, fairness, and data privacy.
• Guide the development, testing, and deployment of machine learning models in collaboration with engineering and product teams.
• Oversee the design of scalable data pipelines and model deployment infrastructure to support both real-time and batch inference.
• Help data teams determine the best route for tackling use cases by assessing scope, selecting techniques, and evaluating trade-offs.
• Maintain visibility into data science initiatives across the organization to ensure alignment, progress, and measurable outcomes.
• Translate complex technical insights into clear, actionable updates for executive stakeholders and external partners.
• Collaborate cross-functionally with Product, Engineering, Clinical, Compliance, and Business Development teams to ensure solutions meet real-world needs.
• Translate cutting-edge AI research into practical applications that improve healthcare outcomes and simplify billing complexity.
• Drive enterprise-wide efforts to harness AI and analytics in streamlining healthcare delivery, administration, and cost management.
• Recruit, mentor, and develop a world-class data science team, fostering a culture of curiosity, rigor, and innovation.

Qualifications & Skills

• Master's or PhD in Computer Science, Data Science, Statistics, or a related field.
• 10+ years of experience as a data scientist, with at least 3+ years in healthcare or healthtech preferred.
• Proven leadership in building and managing high-performing, multidisciplinary data teams.
• Deep expertise in statistics, machine learning, and AI, with hands-on experience in tools such as Python, R, TensorFlow, Keras, or PyTorch.
• Strong grasp of AI ethics, data governance, and privacy best practices, especially in healthcare contexts.
• Familiarity with healthcare data formats and standards (e.g., HL7, FHIR, X12) and regulatory requirements (e.g., HIPAA, CMS).
• Exceptional communication skills, with the ability to engage and influence both technical and non-technical stakeholders.
• Demonstrated critical thinking and a track record of structuring and solving complex, unstructured problems.
• Experience translating research and experimental models into production-grade solutions.
• Comfort working in a fast-paced, early-stage environment where adaptability and hands-on leadership are key.
• Experience engaging with employers, healthcare payers, health systems, and regulatory bodies is a strong plus.

Location & Work Authorization

This is a U.S.-based role. Candidates must be located in the United States and authorized to work in the U.S. without current or future employment sponsorship.