Sr. Software Engineer - Clinical Development & AI Solutions

Advance your Information Technology (IT) career at an industry leading HealthCare provider.

Corporate IT at Labcorp is seeking a hands-on, expert-level Senior Software Developer to join our Clinical Development team. In this role, you will drive the development of cloud-based business and AI solutions within the healthcare industry. You'll be part of a team enabling next-generation clinical workflows that integrate Generative AI, machine learning, and real-time data insights to transform patient care delivery.

This position plays a key role in Labcorp's mission to "help people live longer and healthier lives" by building advanced digital solutions-including clinical decision support tools, AI-powered services, and scalable infrastructure across AWS and Microsoft Azure. You'll collaborate closely with data scientists, product managers, and business stakeholders to deliver high-performance, secure software solutions using modern architecture and design principles.

Key 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

Preferred Qualifications:

Bachelor's degree in Computer Science or equivalent field

10+ years of hands-on software development experience in multi-tiered, object-oriented systems

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

Passion for working in a fast-paced, agile development environment with a collaborative mindset

Excellent problem-solving, communication, and stakeholder engagement skills

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.

Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Casual, PRN & Part Time employees regularly scheduled to work less than 20 hours are eligible to participate in the 401(k) Plan only. For more detailed information, please click here (https://careers.labcorp.com/global/en/us-rewards-and-wellness) .

Application Window closes 8/31/2025

Labcorp is proud to be an Equal Opportunity Employer:

Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.

We encourage all to apply

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