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Geisinger

Integrated health system with hospitals

Business Intelligence Analyst Senior - AI Evaluation & Monitoring

Data Science +1Confirmed live in the last 24 hours
Full-timePennsylvania, USANo salary listed

About the Job

Requirements

  • A high school diploma or equivalent GED is required.
  • At least 8 years of relevant experience is required; related work experience and degree obtained may be combined, with an associate's degree counted as 2 years, a bachelor's degree as 4 years, and a master's degree as 6 years.
  • Experience independently managing multiple projects is required.
  • Demonstrate working knowledge of relevant source systems and proficiency with related databases and data marts within the first year in the role.
  • Maintain strong attention to detail and precision when describing data-analysis results.
  • Share relevant information with the team, offer suggestions and resources, volunteer for assignments, and help remove barriers to team goals.
  • Follow department policies and procedures for request intake and fulfillment, change management, and data governance.

Responsibilities

  • Consult independently with AI stakeholders to gather evaluation and data requirements and define project scope.
  • Execute evaluation work for the AI portfolio, including running validation studies, instrumenting production monitoring, analyzing results, and preparing written work product for governance and program teams.
  • Collaborate with internal partners and organizations to design and develop reporting solutions and analytic studies that support business needs.
  • Plan projects and request-completion tasks.
  • Provide time and effort estimates based on gathered requirements.
  • Stay current with industry trends and become familiar with the organization's business intelligence software systems.
  • Recommend analysis approaches and additional analyses or reporting based on business questions, requirements, and initial findings.
  • Develop, validate, and execute complex queries; develop complex reports and perform complex data analyses; interpret results and recommend actions to business areas.
  • Present analyses and reports to internal customers and stakeholders.
  • Use statistical methods in analyses and select visualizations that accurately communicate intended messages and limitations.
  • Report and help troubleshoot data-quality issues identified through profiling, testing, or validation.
  • Participate in strategic departmental initiatives and may participate in industry advisory or user groups.
  • Mentor other analysts and junior BI developers through project feedback, code reviews, and training in areas of expertise.

Desired Qualifications

  • Healthcare, clinical, or regulated-industry data experience is strongly preferred.
  • Applied statistics experience, including hypothesis testing, confidence intervals, power and sample size, regression, and non-parametric methods.
  • SQL experience with large, messy clinical data warehouses, including window functions, common table expressions, debugging query plans, and performance tuning.
  • Python analysis experience using pandas, NumPy, scikit-learn, statsmodels, and common evaluation libraries.
  • Production monitoring design and execution experience, including drift detection, performance decay tracking, adoption metrics, and outcome metrics.
  • Large language model and generative AI evaluation experience, including golden sets, judge-based scoring, hallucination checks, and grounding checks.

About the Company

Geisinger

Integrated health system with hospitals

Geisinger Health System runs hospitals and clinics across several locations, offering a wide range of medical services (from cancer and cardiology to pediatrics and women’s health) along with patient support tools like the MyGeisinger patient portal. Its main product is integrated health care: Geisinger provides medical treatment through its doctors, nurses, and facilities, and supports care with online access, remote telemedicine, and access to medical records and billing. Geisinger differentiates itself by combining clinical care with research and education in one system, including programs like MyCode health genetics research and ongoing clinical trials, plus direct links between patient care, research, and community health initiatives. The company’s goal is to improve health outcomes for patients by delivering coordinated care, advancing medical knowledge through research, and engaging with communities to support healthy living.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Danville, IL
Founded
1915

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