Manufacturing Digital and AI Intern
About The Position
This is a 12-week, onsite internship at the 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 intern will 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. They will assess robotics and intelligent automation opportunities, such as automated material handling, robotic sampling, machine vision, and laboratory automation, through use-case development, technology assessments, and feasibility studies. The role also involves collaborating with manufacturing, engineering, automation, data science, and digital technology teams to identify digital opportunities and develop business cases, requirements, and implementation roadmaps.
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.
- 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 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.
- 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 and develop Python-based prototypes for predictive analytics, anomaly detection, and decision support.
- Support digital manufacturing projects involving electronic batch records, digital supply chain, digital technology transfer, and digital twins.
- Map processes, equipment, data sources, and interfaces to define data requirements and integration needs.
- Assess robotics and intelligent automation opportunities, including automated material handling, robotic sampling, machine vision, and laboratory automation.
- Develop use cases and conduct 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.
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What This Job Offers
Career Level
Intern
Education Level
No Education Listed
