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Value Based Healthcare Analyst Jobs in Raleigh, NC

Keebler Health

Data Engineer (Health Data Metrics)

Durham, NC · On-site

$110K - $132K/yr

Work with healthcare quality metrics such for value-based care and ensure data alignment with industry standards. * Collaborate with stakeholders to integrate population health tools and analytics ...

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Value Based Healthcare Analyst information

See Raleigh, NC salary details

$34K

$73.5K

$128.3K

How much do value based healthcare analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for value based healthcare analyst in Raleigh, NC is $73,495.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $88,900.00 per year, depending on experience, location, and employer.

What is a Value Based Healthcare Analyst?

A Value Based Healthcare Analyst is a professional who evaluates healthcare data to measure and improve the quality, outcomes, and cost-effectiveness of care. They use data analytics to assess how well healthcare providers deliver value-based care, which focuses on patient outcomes rather than the volume of services provided. These analysts often work with clinical, financial, and operational data to identify trends, support decision-making, and help healthcare organizations transition to value-based payment models.

What are the key skills and qualifications needed to thrive as a Value Based Healthcare Analyst?

To thrive as a Value Based Healthcare Analyst, you need strong analytical skills, an understanding of healthcare data, and a degree in health informatics, public health, or a related field. Familiarity with data analytics tools (such as SQL, Tableau, or SAS), electronic health records (EHR) systems, and value-based payment models is typically required. Excellent communication, problem-solving abilities, and attention to detail help analysts translate complex data into actionable insights for stakeholders. These skills are crucial for improving patient outcomes and optimizing healthcare costs within value-based care frameworks.

How does a Value Based Healthcare Analyst typically collaborate with clinical and administrative teams in a healthcare organization?

A Value Based Healthcare Analyst often works closely with both clinical staff and administrative teams to analyze patient outcomes, cost data, and quality metrics. They facilitate communication between departments by translating complex data insights into actionable recommendations, ensuring everyone understands how changes can improve patient care and operational efficiency. Regular meetings, data-sharing sessions, and cross-functional projects are common, requiring the analyst to be adept at bridging gaps between technical analysis and practical healthcare applications.

What is the difference between Value Based Healthcare Analyst vs Data Analyst in Healthcare?

AspectValue Based Healthcare AnalystData Analyst in Healthcare
Required CredentialsBachelor's degree in healthcare, health administration, or related field; certifications like Certified Healthcare Analytics Professional (CHAP)Bachelor's degree in data science, statistics, or related field; proficiency in data analysis tools
Work EnvironmentHealthcare organizations, hospitals, payers focusing on value-based careHospitals, clinics, healthcare IT companies analyzing health data
Employer & Industry UsageUsed in healthcare systems emphasizing cost efficiency and patient outcomesUsed across healthcare sectors for data-driven decision making

The main difference is that a Value Based Healthcare Analyst focuses on analyzing and improving patient outcomes and cost efficiency within value-based care models, while a Data Analyst in Healthcare handles broader data analysis tasks across various healthcare settings. Both roles require strong analytical skills, but the VBC Analyst specializes in healthcare quality metrics and reimbursement models.

What are popular job titles related to Value Based Healthcare Analyst jobs in Raleigh, NC?

For Value Based Healthcare Analyst jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Value Based Healthcare Analyst jobs in Raleigh, NC look for?

The top searched job categories for Value Based Healthcare Analyst jobs in Raleigh, NC are:

Value Based Healthcare Analyst jobs near you
Infographic showing various Value Based Healthcare Analyst job openings in Raleigh, NC as of August 2026, with employment types broken down into 6% Internship, 66% Full Time, 17% Part Time, and 11% Contract. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $73,495 per year, or $35.3 per hour.

AI Engineer (LLMs for Healthcare)

Keebler Health

Durham, NC • On-site

Full-time

Re-posted yesterday

Job description

Job Summary:
Keebler Health is building the operating system for value-based care, aiming to empower healthcare organizations with data-driven insights. The role involves developing and fine-tuning large language models for healthcare applications, collaborating with healthcare professionals, and optimizing AI workflows.
Responsibilities:
• Fine-tune and optimize large language models (LLMs) to address specific healthcare applications.
• Develop and apply advanced prompt engineering techniques to enhance model outputs for clinical scenarios.
• Implement Retrieval-Augmented Generation (RAG) systems to improve knowledge retrieval from large datasets.
• Work with knowledge graphs to organize and integrate healthcare-specific data for enhanced decision-making.
• Evaluate black-box models using precision, recall, and other performance metrics, ensuring robustness and reliability.
• Collaborate with healthcare professionals to understand workflows and identify opportunities for AI-driven enhancements.
• Design and build AI models that align with healthcare standards and regulations (e.g., HIPAA compliance).
• Integrate domain-specific knowledge of healthcare data, including FHIR and interoperability standards, into AI solutions.
• Develop and maintain scalable, production-ready AI pipelines using MLOps tools.
• Deploy and monitor AI models in production environments to ensure performance and compliance.
• Optimize infrastructure for efficient training, testing, and deployment of models.
• Stay at the forefront of advancements in AI, especially in healthcare applications.
• Identify and resolve performance bottlenecks in AI workflows.
• Explore emerging trends and technologies in LLMs and healthcare to continually improve solutions.
• Partner with cross-functional teams, including data engineers and clinicians, to ensure seamless integration of AI into healthcare workflows.
• Communicate technical results and insights effectively to non-technical stakeholders.
Qualifications:
Required:
• Proven experience in LLM fine-tuning and advanced prompt engineering.
• Strong background in Python and modern ML frameworks (e.g., Huggingface, pyTorch).
• Familiarity with healthcare workflows and regulatory requirements (e.g., HIPAA, FHIR standards).
• Hands-on experience with retrieval-augmented generation (RAG) techniques.
• Expertise in evaluating AI models using performance metrics like precision, and recall.
Preferred:
• Experience with MLOps frameworks such as MLflow, Langfuse, or similar tools.
• Understanding of healthcare data standards, including HL7 and HEDIS metrics.
• Strong problem-solving skills in integrating AI with complex healthcare datasets.
• Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
Company:
Keebler Health develops an AI-powered healthcare analytics platform focused on risk adjustment and clinical decision support. Founded in 2023, the company is headquartered in Durham, USA, with a team of 11-50 employees. The company is currently Early Stage.

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