Note: The job is a remote job and is open to candidates in USA. Point C is a National third-party administrator (TPA) that delivers customized self-funded benefit programs. They are seeking a Healthcare Informatics Intern to analyze healthcare data and identify opportunities to improve clinical processes using data and AI tools.
Responsibilities
- Partner with clinical and utilization management teams to understand workflows, data needs, and areas where analysis can improve decision-making and outcomes
- Use AI tools to accelerate data pulls and surface patterns across large clinical datasets
- Analyze AI findings to flag trends or anomalies that may not be immediately visible through manual review
- Leverage AI to support documentation tasks such as drafting summaries, structuring findings, and generating repeatable templates for clinical and operational use
- Pull, clean, and analyze healthcare data including claims, date of service, provider specialty, utilization patterns, and clinical indicators
- Identify trends and draw actionable insights from clinical and utilization data to support care management, cost containment, and quality improvement efforts
- Support the clinical team in understanding benefit structures, plan designs, and how they interact with utilization and outcomes data
- Identify opportunities where AI or automation could streamline clinical review processes, flag outliers, or reduce manual workload for clinical staff
- Build lightweight data tools, dashboards, or summary reports to make clinical and utilization data more accessible and actionable
- Document findings, methodologies, and recommendations clearly so insights are repeatable and usable beyond the internship
- Present data findings and recommendations to clinical and operational leadership in a clear, accessible format
Skills
- Currently a Senior or Graduate student enrolled in a degree program in Health Informatics, Nursing, Clinical Health Sciences, Public Health, Healthcare Administration, or a related field
- Clinical or medical knowledge sufficient to understand healthcare terminology, diagnosis and procedure codes, provider specialties, and utilization management concepts
- Experience working with or analyzing healthcare data, including claims data, date of service, provider information, or clinical documentation
- Strong analytical skills with the ability to draw meaningful insights from complex datasets
- Hands-on familiarity with AI tools (such as ChatGPT, Claude, Copilot, or similar) and demonstrated ability to apply them practically
- Curiosity about how AI can improve healthcare operations – you don't need to be an AI engineer, but you should be someone who experiments, asks 'what if we used AI for this?' and follows through
- Familiarity with data tools such as Excel, SQL, Tableau, Power BI, or similar platforms
- Ability to communicate data findings clearly to both clinical and non-clinical audiences
- Ability to work independently, manage ambiguity, and prioritize across multiple projects
- Experience with Python, R, or other data analysis languages is a plus
- Prior exposure to utilization management, care management, or managed care environments is a plus
Benefits
- Comprehensive medical, dental, vision, and life insurance coverage
- 401(k) retirement plan with employer match
- Health Savings Account (HSA) & Flexible Spending Accounts (FSAs)
- Paid time off (PTO) and disability leave
- Employee Assistance Program (EAP)
Company Overview