Job Description

Overview

We are seeking a Sr. Data Analyst with advanced SQL expertise to support our Data Science and AI initiatives through high-impact analytics and insights. This role is pivotal in enabling the development of safe, effective, and accurate AI solutions that drive meaningful outcomes. An ideal candidate will possess strong SQL and data exploration skills, demonstrate the ability to assess GenAI models, and bring a solid background in healthcare.

Responsibilities

• Analytics & Insights: Provide end-to-end data analytics support for AI/ML/agent initiatives, including requirements analysis, exploratory data analysis, and business insights.
• Model Evaluation: Partner with data scientists to evaluate AI/ML models, measure performance, and ensure outputs are accurate, reliable, and clinically meaningful.
• AI Readiness: Assess and prepare data for AI initiatives, ensuring compliance with healthcare regulations (HIPAA, ONC, CMS) and alignment with enterprise data standards.
• Compliance & Governance: Support AI transparency, fairness, and compliance by documenting data lineage, assumptions, and validation processes.
• Healthcare Insights: Deliver clinical and operational insights that inform the design and deployment of AI agents within EHR and practice management workflows.
• Collaboration: Work closely with product managers, AI/ML engineers, clinicians, and compliance teams to ensure AI/ML solutions meet stakeholder needs.
• Perform other duties that support the overall objective of the position.

Education Required

• Master's degree in Computer Science, Data Science, Health Informatics, or equivalent field.
• Or, any combination of education and experience which would provide the required qualifications for the position.

Experience Required

• 5+ years as a Data Analyst, including direct experience supporting AI/ML teams.
• Demonstrated experience applying Generative AI (GenAI) in healthcare contexts (clinical documentation, coding, patient engagement, or operations).
• Experience with EHR and practice management data domains is preferred.

Knowledge, Skills & Abilities

• Knowledge: Expert-level SQL skills for data exploration, query optimization, feature engineering and pipeline validation. Familiarity with modeling strategies (predictive analytics, NLP, classification, and GenAI applications). Understanding of healthcare compliance standards including HIPAA, data privacy, and AI governance best practices.
• Preferred: Proficiency in Python or R for data analysis and visualization. Knowledge of AI evaluation frameworks (fairness, explainability, drift monitoring).
• Skill in: Communication skills. Problem/situation analysis. Research skills. Analytical thinking skills. Technical expertise. Mathematical skills.
• Ability to: Strong ability to translate technical findings into insights for technical and non-technical stakeholders.

The company has reviewed this job description to ensure that essential functions and basic duties have been included. It is intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate. This document does not represent a contract of employment, and the company reserves the right to change this job description and/or assign tasks for the employee to perform, as the company may deem appropriate.

NextGen Healthcare is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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