AI Intern – Co-op Spring 2026

Exact Sciences is seeking an AI co-op intern to support our efforts in developing and applying artificial intelligence technologies to drive innovation and efficiency across the organization. The AI Intern will collaborate with data scientists engineers and cross-functional teams to research prototype and implement AI solutionsincluding machine learning (ML) deep learning (DL) and generative AI modelsthat enhance decision-making and business processes.

This 6 month co-op internship offers an exceptional opportunity to gain hands-on experience in applied AI development within the biotech industry and to contribute to projects that have a meaningful impact on patient outcomes and healthcare advancement.

Essential Duties

• Assist in the development training and evaluation of AI and machine learning models including natural language processing (NLP) computer vision and generative AI applications.

• Support the integration of AI models into production environments including data pipelines and APIs.

• Conduct data analysis cleaning and preparation to support model development and evaluation.

• Participate in AI research and literature review identifying emerging techniques applicable to Exact Sciences initiatives.

• Visualize data and model outputs communicating insights to both technical and non-technical audiences.

• Collaborate in Agile development cycles contributing to iterative improvement of AI-driven products.

• Document methodologies experiments and results to ensure reproducibility and transparency.

• Uphold company mission and values through accountability innovation integrity quality and teamwork.

• Support and comply with the companys Quality Management System (QMS) policies and procedures.

• Maintain regular and reliable attendance.

• Demonstrate an inclusion mindset and model these behaviors across the organization

Minimum Qualifications

• Current student enrolled toward a degree program in Computer Science Artificial Intelligence Data Science or related field (Graduate degree program preferred).

• Demonstrated proficiency in Python and familiarity with AI frameworks such as TensorFlow PyTorch or scikit-learn.

• Understanding of machine learning fundamentals including supervised and unsupervised learning.

• Legal authorization to work in the country of employment without current or future sponsorship.

Preferred Qualifications

• Experience with natural language processing (NLP) computer vision or generative AI (e.g. large language models diffusion models).

• Working knowledge of SQL and data engineering tools (e.g. Spark Pandas). Experience with cloud platforms (AWS GCP or Azure) and version control tools (Git).

• Familiarity with MLOps concepts model evaluation metrics and responsible AI principles