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Sr. Software Engineer

LabCorp

Salary not specified
Sep 16, 2025
Durham, NC, USA
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Labcorp is looking to drive the development of cloud-based business and AI solutions within the healthcare industry to enable next-generation clinical workflows that integrate Generative AI, machine learning, and real-time data insights to transform patient care delivery.

Requirements

  • Advanced proficiency in C and .NET
  • Experience with relational and NoSQL databases.
  • Strong grasp of cloud native implementation using AWS (preferred) or Azure
  • Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face, OpenAI APIs) is a plus
  • 8+ years of hands-on software development experience in multi-tiered, object-oriented systems

Responsibilities

  • Design, code, and enhance enterprise-grade applications using C, .NET, and cloud-native technologies (AWS & Azure)
  • Develop and maintain AI-powered services, including Generative AI integrations and machine learning workflows
  • Work closely with the Data Science team to productize AI models and apply software engineering best practices for AI/ML deployments
  • Participate in the evolution and adoption of business AI accelerators to scale automation and analytics across the organization
  • Lead code reviews, enforce design standards, and provide mentorship to junior developers
  • Collaborate cross-functionally in agile teams to translate complex business requirements into scalable technical solutions
  • Drive innovation by leveraging emerging technologies and pushing the boundaries of healthcare IT

Other

  • This hybrid position offers a balanced schedule of a minimum of three in-office days at an assigned location to be in Durham, NC, supporting both collaboration and flexibility.
  • Passion for working in a fast-paced, agile development environment with a collaborative mindset
  • Excellent problem-solving, communication, and stakeholder engagement skills
  • Application Window closes 10/10/2025
  • All job offers will be based on a candidate’s skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data.