Senior Data Analyst, AI Evaluation

Elsevier

🇺🇸In-Person - PA$103K–$171K/yr6mo ago

Higher Ed Data & Analytics Data Analysis AI Evaluation Business Intelligence Healthcare Analytics Machine Learning Evaluation

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Role Snapshot

Senior Data Analyst role at Elsevier focused on evaluating generative AI models in healthcare to ensure they meet rigorous standards for accuracy, fairness, and clinical relevance. The position involves leading analytics frameworks and collaborating with cross-functional teams to assess and improve AI solutions for healthcare decision-making.

Key Responsibilities: Lead development of analytics frameworks for AI model evaluation, manage analytics roadmaps, and conduct comprehensive quality assurance of AI outputs for healthcare applications. Collaborate with stakeholders to define evaluation methodologies, create data models, and deploy metrics to assess AI model performance and output quality.

Skills & Tools: Proficiency in SQL databases (Microsoft SQL Server, Snowflake, PostgreSQL), Python for analysis, and BI tools such as Tableau or PowerBI; expertise in developing evaluation frameworks, performance metrics analysis, and understanding HIPAA compliance and sensitive data handling (PHI/PII).

Qualifications: 6-9 years of relevant experience in data analytics with demonstrated thought leadership in analytics strategy and enterprise-wide project implementation. Current expertise in creating evaluation frameworks and experience in AI model evaluation contexts required.

Location: Pennsylvania

Compensation: $103K–$171K/yr

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