Applied Analytics Intern

Applied Analytics Intern  

  Location:  New Albany, Ohio (minimum of 3 days per week in office) 

Duration: 20-40 pre-scheduled hours per week for 8-12 weeks 

Education:  Rising sophomores and juniors in relevant course of study 

Reveleer is a healthcare data and analytics company that uses Artificial Intelligence to give health plans across all business lines greater control over their Quality Improvement, Risk Adjustment, and Member Management programs. With one transformative solution, the Reveleer platform enables plans to independently execute and manage every aspect of enrollment, provider outreach and data retrieval, coding, abstraction, reporting, and submissions. Leveraging proprietary technology, robust data sets, and subject matter expertise, Reveleer provides complete record retrieval and review services so health plans can confidently plan and execute risk, quality, and member management programs to deliver more value and improved outcomes. 

Role Overview:

Reveleer partners with health plans to power value-based care and risk adjustment programs through advanced analytics, technology, and clinical expertise. Our work ensures accurate documentation, improved patient outcomes, and more efficient healthcare operations.

Reveleer's Applied Analytics Internship Program is designed as a two-summer experience designed for high-potential undergraduate students interested in healthcare analytics, operations, and artificial intelligence. 

This program provides hands-on exposure to both operational workflows and advanced analytics, with a focus on developing and testing AI-driven solutions to improve medical record retrieval processes, which is one of the most critical components of risk adjustment. 

Details:  

Summer 1: Operations + Applied Experimentation  

Interns will be embedded within the Medical Record Retrieval team, where they will: 

Learn end-to-end retrieval operations and workflows 

Participate directly in retrieval activities to build domain expertise 

Collaborate with the Applied Analytics team on experimental AI initiatives 

Test and evaluate AI tools designed to improve retrieval efficiency 

Help define and track key performance metrics (e.g., turnaround time, yield, accuracy) 

Document findings and contribute to process improvement recommendations 

Summer 2: Analytics + AI Development  

Returning interns will transition into the Applied Analytics team, where they will: 

Build and maintain data pipelines supporting retrieval and analytics workflows 

Develop and refine algorithms and AI tools to optimize retrieval processes 

Analyze large healthcare datasets to identify trends and improvement opportunities 

Design experiments to measure the impact of AI-driven interventions 

Present insights and recommendations to cross-functional stakeholders 

What  You'll Gain 

• Deep exposure to healthcare data, risk adjustment, and value-based care 

• Hands-on experience applying AI/ML concepts to real-world operational problems 

• Understanding of how analytics drives measurable business impact 

• Mentorship from experienced analytics and operations professionals 

• Opportunity to return for a second summer with expanded technical ownership 

Preferred Qualifications (Ideal Candidates)  

• Experience with data analysis tools (Python, R, SQL, or similar) 

• Familiarity with Excel or data manipulation techniques 

• Exposure to statistics, experimentation, or basic machine learning concepts 

• Ability to translate ambiguous problems into structured analyses 

• Curiosity about how operational processes work and how to improve them 

• Interest in applied AI (not just theory, but someone who wants to build and test things) 

• Strong attention to detail and willingness to engage in hands-on operational work 

• Self-starter mindset with a willingness to take initiative and learn quickly 

Compensation:   

Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.

Reveleer E-Verifies all new hires.

Reveleer is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, disability status or genetic information, in compliance with applicable federal, state and local law.