Data & AI Intern (ML Modeling + Analytics Applications) Summer Intern 2026
About The Position
CareDx, Inc. is a leading precision medicine solutions company focused on the discovery, development, and commercialization of clinically differentiated, high-value healthcare solutions for transplant patients and caregivers. CareDx offers products, testing services, and digital healthcare solutions along the pre- and post-transplant patient journey, and is the leading provider of genomics-based information for transplant patients. The Data & AI Summer Intern will gain hands-on experience supporting machine learning, statistical analysis, and data-driven application development. This internship is designed as a learning-focused opportunity where the intern will work alongside data scientists, engineers, and product partners to help build analytics pipelines, translate analytical work into user-facing tools, and explore how AI-assisted development tools are used in real-world environments. The ideal intern should be familiar with how to use agent AI tools and familiar with applying AI-assisted coding and analysis tools (e.g., Codex-style or agent-based coding assistants) to accelerate development, debugging, and model experimentation workflows. Throughout the summer, the intern will contribute to meaningful projects while developing practical skills in Python, data engineering, ML workflows, and visualization.
Requirements
- Bachelor’s degree in computer science, Data Science, Statistics, Engineering, or a related field; Master or PhD student (or soon-to-graduate) strongly preferred.
- Proficiency in Python for data analysis and software development.
Responsibilities
- Support ML model development and statistical analysis projects, including dataset preparation, feature engineering, model training, evaluation, and interpretation.
- Assist in refactor and translate existing R-based analysis workflows into well-structured, tested Python code.
- Help Build and integrate analysis outputs into interactive applications for visualization and exploration (e.g., Streamlit, Dash).
- Contribute to Develop modular, reusable components for analytics pipelines (data processing, metrics, reporting, and visualization).
- Learn and Apply software engineering best practices, including Git-based workflows, code reviews, documentation, and maintainable project structure.
- Support automated testing, formatting, and CI/CD workflows under guidance from experienced engineers.
- Collaborate with stakeholders to understand requirements and translate analysis/model results into clear visualizations and usable application features.
- Assist with debugging and performance improvements across data/ML and application layers.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Career Level
Intern
Number of Employees
251-500 employees
