Manufacturing Digital and AI Intern

AstraZeneca • Gaithersburg, MD

4d • Onsite

About The Position

This is a 12-week internship at the company’s Gaithersburg, Maryland site, running from May 24, 2027 to August 13, 2027. The intern will analyze clinical manufacturing process data and develop Python-based prototypes for predictive analytics, anomaly detection, and decision support to improve operational efficiency and process understanding.

The role supports digital manufacturing initiatives, including electronic batch records, digital supply chain, digital technology transfer, and digital twins. It also assesses robotics and intelligent automation opportunities, including automated material handling, robotic sampling, machine vision, and laboratory automation. The intern will work with manufacturing, engineering, automation, data science, and digital technology teams to identify digital opportunities and develop business cases, requirements, and implementation roadmaps.

The position is onsite at the Gaithersburg, Maryland site five days per week. Relocation assistance and CPT support are not provided. US work authorization is required at the time of application.

Requirements

• Be a rising sophomore, junior, or senior studying Computer Science, Biomedical Engineering, Chemical Engineering, or a related field.
• Have an expected graduation date after August 2027.
• Have US work authorization at the time of application; CPT support will not be provided.
• Be able to report onsite to the Gaithersburg, Maryland site five days per week.

Nice To Haves

• Introductory exposure to machine learning, generative AI, or large language models through classes or small projects.
• Basic Python programming skills and experience analyzing or visualizing data through coursework, academic research, or personal projects.
• Familiarity with Pandas, NumPy, scikit-learn, SQL, or Power BI.
• Coursework or project experience involving digital twins, process simulation, robotics, computer vision, or industrial automation.
• Interest in biopharmaceutical manufacturing and willingness to learn how digital technologies support manufacturing operations.
• Experience collaborating on student projects, researching technical topics, and clearly presenting findings.

Responsibilities

• Analyze clinical manufacturing process data.
• Develop Python-based prototypes for predictive analytics, anomaly detection, and decision support.
• Support digital manufacturing projects by mapping processes, equipment, data sources, and interfaces to define data requirements and integration needs.
• Assess robotics and intelligent automation opportunities by developing use cases and conducting technology assessments and feasibility studies.
• Collaborate with manufacturing, engineering, automation, data science, and digital technology teams to identify high-value digital opportunities.
• Develop business cases, requirements, and implementation roadmaps.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed