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Gaithersburg, MD

Internship

Onsite

$37/hr - $39/hr

Intern

AstraZeneca is hiring a Manufacturing Digital and AI Intern to improve biopharmaceutical manufacturing operations through data analytics, digital technologies, and intelligent automation. The intern will develop analytical prototypes, support digital manufacturing projects, assess automation opportunities, and collaborate on implementation plans.

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Responsibilities

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
Support digital manufacturing projects, including electronic batch records, digital supply chain, digital technology transfer, and digital twins, by mapping processes, equipment, data sources, and interfaces to define data requirements and integration needs
Assess robotics and intelligent automation opportunities, such as automated material handling, robotic sampling, machine vision, and laboratory automation, 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 and develop business cases, requirements, and implementation roadmaps

Qualification

Required

Rising sophomores, juniors, and seniors studying Computer Science, Biomedical Engineering, Chemical Engineering or a related field
Basic Python programming skills and experience analyzing or visualizing data through coursework, academic research, or personal projects
Candidates must have an expected graduation date after August 2027
US Work Authorization is required at time of application

Preferred

Introductory exposure to machine learning, generative AI, or large language models through classes or small projects
Familiarity with tools such as Pandas, NumPy, scikit-learn, SQL, or Power BI
Coursework or project experience involving digital twins, process simulation, robotics, computer vision, or industrial automation
An interest in biopharmaceutical manufacturing and a willingness to learn how digital technologies support manufacturing operations
Experience collaborating on student projects, researching technical topics, and clearly presenting findings

Benefits

AstraZeneca is a pharmaceutical company that discovers, develops, manufactures, and markets prescription medicines. It is a sub-organization of Investor.

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