Data Scientist, Data & AI

This is a Fully Remote Job

About Our Client:

This organization operates within the healthcare sector, addressing the challenges of managing and utilizing clinical and operational data effectively. They focus on transforming complex healthcare data into actionable insights and tools that support leaders and clinicians in improving patient outcomes and operational efficiency. Their work includes data integration, analysis, and the development of AI-driven models, supporting healthcare decision-making at scale.

About the Opportunity:

The DATA SCIENTIST role is central to converting healthcare data into reliable metrics, models, and AI tools that inform clinical and operational decisions. This position collaborates closely with physician leaders and operational teams to assess patient care metrics, physician productivity, and disease cohort statuses. The role leverages advanced data platforms and technologies to ensure data accuracy and usability, significantly impacting the organization's ability to deliver data-driven healthcare improvements.

Responsibilities:

• Build and validate trusted datasets and measures from healthcare data platforms.
• Develop and deploy statistical and machine learning models addressing clinical and operational questions.
• Apply natural language processing and large language models to extract structured information from clinical texts.
• Deliver user-facing reports and conversational data agents with appropriate data security.
• Ensure patient data protection in compliance with regulatory standards.
• Communicate findings and methodologies clearly to clinical and executive stakeholders.
• Promote best practices in coding, peer review, and mentoring within the analytics team.

Requirements:

• Bachelor’s degree required; master’s degree preferred.
• Minimum 5 years of experience in healthcare or data analytics.
• At least 2 years working with healthcare payor organizations or systems.
• Proficient in SQL and at least one programming language such as Python or R.
• Experience in statistical modeling, machine learning, and AI.
• Strong presentation and communication skills.
• Experience in strategic planning, workflow optimization, and team mentorship.

Pay Range and Compensation Package:

• The pay range and compensation package for this role will be determined based on the candidate's experience, skills, and other relevant factors.

Benefits & Perks:

• Student Loan Repayment Assistance & Reimbursement Programs

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.