Manufacturing Digital and AI Intern
AstraZenecaAdded 6h ago
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Quick summaryby newgrad.ai
What you'll do
- Build Python prototypes for predictive analytics and manufacturing process data.
- Map digital supply chain and equipment processes to support integration.
- Evaluate robotics and automation use cases for laboratory and material handling.
- Partner with cross-functional teams to develop digital project roadmaps.
What they're looking for
- Rising sophomores, juniors, and seniors in engineering or computer science.
- Graduation date scheduled after August 2027.
- Basic Python skills and exposure to machine learning or AI.
- Ability to work onsite in Gaithersburg, MD five days weekly.
Pay and perks
- Hourly compensation between $37 and $39.
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-2026Our 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.
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