Summer Tech Internship: AI‑Driven Healthcare Analytics

re-zoo-me; Overland Park, Northern (KS, KY); Hybrid; USD 16,000 - 25,000; Full time

Benefits offered by this job

Hands-on projects

AI tools training

Job summary

Quest Analytics, headquartered in Overland Park, KS, offers a Summer 2027 Technology Internship Program. You’ll gain hands-on experience across software engineering, data engineering, and data science, using AI-assisted tools like Claude Code to build and test real solutions for healthcare analytics.

Interns are aligned to teams based on skills and interests, with opportunities to analyze data, solve problems, and contribute to meaningful product outcomes in a dynamic, entrepreneurial

Qualifications

• Pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Data Analytics, Data Engineering, or related field.
• Juniors and above preferred (2+ years of degree experience).
• Prior internship experience in data engineering, analytics, or data science is a plus.

Responsibilities

• Work across Software Engineering, Data Engineering, and Data Science on meaningful projects aligned to skills and business needs.
• Contribute to software development lifecycles, data pipelines, and analytics experiments.
• Collaborate with engineers, data scientists, and stakeholders to deliver outcomes in healthcare technology.

Skills

Python

SQL

C#

Java

C++

React

TypeScript

Education

Bachelor’s or Master’s in CS/Software Engineering/Data Science

Junior or above (2+ years)

Prior internship in data engineering/analytics/data science

Tools

Claude Code

Databricks

Spark

Git

Job description

Quest Analytics, headquartered in Overland Park, KS, offers a Summer 2027 Technology Internship Program. You’ll gain hands-on experience across software engineering, data engineering, and data science, using AI-assisted tools like Claude Code to build and test real solutions for healthcare analytics.

Interns are aligned to teams based on skills and interests, with opportunities to analyze data, solve problems, and contribute to meaningful product outcomes in a dynamic, entrepreneurial