Labcorp's Payer - Digital Products Team needs to develop and maintain applications that serve insurance companies and managed care organizations, providing valuable services and analytics by enabling payers to access and manage Labcorp data efficiently using modern cloud technologies.
Requirements
- Solid foundation in at least one modern programming language such as JavaScript/TypeScript, Java, Python, or equivalent
- Strong understanding of data structures (arrays, lists, maps, trees, graphs), algorithms, and object-oriented design
- Working knowledge of machine learning fundamentals using Python frameworks (TensorFlow, PyTorch, scikit-learn) and interest in exploring advanced AI techniques including agentic AI, RAG (Retrieval-Augmented Generation), and fine-tuning
Responsibilities
- Contribute to the development and enhancement of payer web applications using Angular or other modern frameworks
- Participate in the design and implementation of RESTful APIs and microservices using AWS services (Lambda, API Gateway, DynamoDB. EC2)
- Assist in building features that enable insurance companies to access Labcorp data, analytics, and services
- Explore opportunities to apply Gen AI and AI/ML technologies to improve payer experience and operational efficiency
- Collaborate with cross-functional teams including UX designers, product managers, and QA engineers through the full software development lifecycle
- Participate in agile ceremonies including sprint planning, daily standups, and retrospectives
- Engage in code reviews and learn industry best practices for secure healthcare application development
Other
- Preferred candidates are rising juniors and seniors (Dec 2026 through June 2028 graduation) who are currently enrolled in a relevant degree program; however, all current students pursuing related studies are encouraged to apply.
- Proactive learner, Strong problem-solving abilities with excellent collaboration and communication skills to work effectively in cross-functional teams
- This position is not eligible for visa sponsorship
- 12-week paid internship
- Relocation assistance available for qualified candidates
