Manufacturing Digital and AI Intern

AstraZeneca plc; Gaithersburg (MD); On-site; USD 51,000 - 54,000; Full time

Job summary

AstraZeneca plc in Gaithersburg, MD invites rising sophomores to apply for a 12-week internship from May 24, 2027 to August 13, 2027. You will analyze clinical manufacturing data and build Python prototypes for predictive analytics to improve operational efficiency and process understanding.

You'll support digital manufacturing projects, assess robotics opportunities, and collaborate with manufacturing, engineering, data science, and digital technology teams to develop business cases and

Qualifications

• Introductory exposure to machine learning, generative AI, or large language models is preferred.
• Basic Python programming and data analysis experience is beneficial.
• Familiarity with Pandas, NumPy, scikit-learn, SQL, or Power BI is a plus.
• Coursework or projects involving digital twins, process simulation, robotics, computer vision, or industrial automation is a plus.
• Interest in biopharmaceutical manufacturing and learning how digital tech supports manufacturing operations is beneficial.
• Experience collaborating on student projects and presenting findings is beneficial.

Responsibilities

• Analyze clinical manufacturing process data and develop Python-based prototypes for predictive analytics, anomaly detection, and decision support.
• Support digital manufacturing projects, including electronic batch records, digital supply chain, and digital twins by mapping data requirements and interfaces.
• Assess robotics and intelligent automation opportunities, such as automated material handling, robotic sampling, machine vision, and laboratory automation.
• Collaborate with cross-functional teams to identify high-value digital opportunities and develop business cases and implementation roadmaps.

Skills

Python programming

Data analysis

Machine learning exposure

Team collaboration

Tools

Pandas

NumPy

scikit-learn

SQL

Power BI

Job description

We are looking for rising sophomores, juniors, and seniors studying Computer Science, Biomedical Engineering, Chemical Engineering or a related field for a 12-week internship role at our site in Gaithersburg, MD from May 24, 2027 to August 13, 2027.

Position Description

• 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.

Position Requirements

• Rising sophomores, juniors, and seniors studying Computer Science, Biomedical Engineering, Chemical Engineering or a related field.
• Introductory exposure to machine learning, generative AI, or large language models through classes or small projects is preferred.
• Basic Python programming skills and experience analyzing or visualizing data through coursework, academic research, or personal projects are beneficial.
• Familiarity with tools such as Pandas, NumPy, scikit-learn, SQL, or Power BI is a plus.
• Coursework or project experience involving digital twins, process simulation, robotics, computer vision, or industrial automation is a plus.
• An interest in biopharmaceutical manufacturing and a willingness to learn how digital technologies support manufacturing operations are beneficial.
• Experience collaborating on student projects, researching technical topics, and clearly presenting findings is beneficial.
• Candidates must have an expected graduation date after August 2027.
• US Work Authorization is required at time of application.
• This role will not be granting CPT support.
• Ability to report onsite to Gaithersburg, MD site 5 days per week. This role will not provide relocation assistance.
• Compensation: $37 - $39 per hour.

#EarlyTalent

Date Posted

05-Nov-2026

Closing Date

02-Dec-2026

Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.