Undergraduate Summer Internships in Frederick, MD

Frederick Summer Internship Program

The Internships at this site will run on a 10-week program schedule from June 7, 2027 – August 13, 2027. This is a paid, full-time-hourly (40 hours/week) position at the AstraZeneca manufacturing facility located at 636 Research Ct, Frederick, MD 21703. The hourly pay rate for these roles is $28/hr.

What You'll Gain

• Gain hands-on experience at a commercial-scale biopharmaceutical manufacturing site.
• Lead a meaningful project and present outcomes to staff and site leadership.
• Build technical and business skills through real-world projects and cross-functional collaboration.
• Participate in professional development, networking, and learning sessions throughout the summer.

Roles at Frederick can fall under the following departments

Candidates will be considered for one or more functional areas based on their academic background. Assignments will be determined during the selection process.

• Facilities & Site Operations Engineering: Engineering including mechanical, chemical, industrial, bio(medical) and related. Lead site operations projects such engineering drawing with CAD, architectural remodeling, and preventive maintenance, and spare part development. Support engineering department projects (process, facilities and sustainability).
• Safety, Health, and Environment (SHE): Environmental Science, Environmental Engineering, Biology, Chemistry, and related. Engage in site-wide projects such as human performance assessment trend analysis, hazardous material identification, SHE communications plans, and investigation of COF impact on manufacturing floors.
• Manufacturing Operations: Engineering (industrial, mechanical, chemical), Supply Chain, and related. Analyze and report on data inputs to drive improvements, Support of Work Balancing Operations, and support ongoing department projects for site continuous improvement initiatives and overall process optimizations.
• Manufacturing Science & Technology: Chemical / Biomedical Engineering, Biology, Biochemistry, Biotechnology, Chemistry, and related. Execute lab and process tasks such as solution preparation, perform basic measurements, and run simple unit operations (e.g., filtration or chromatography) while collecting and analyzing process data using Excel to identify trends and maintain clear records.
• Operational Excellence: Industrial Engineering, Supply Chain, Business Analytics, Data Analytics, and related. Collect, analyze and track key performance metrics to ensure project goals are achieved by identifying root causes and collaborating sitewide to implement and sustain improvements.
• Project Management: Engineering, Business Administration, Project Management, and related. Support various projects such as cost/benefit analysis for facility construction types (e.g. Modular vs Stick-built) and assist in capital management tracking and reporting.
• Supply Chain: Business Administration, Supply Chain, Industrial Engineering, Analytics, and related. Engage in various projects such as Inventory optimization, capacity modeling, digital tool implementation, and waste reduction in a lean manufacturing environment.
• Data Science: Computer Science, Data Science, Statistics, Mathematics, Engineering, Analytics, and related. Create machine learning, AI models from a wide variety of manufacturing data to visualize in dashboards and reports.
• Quality Control Laboratory: Biology, Microbiology, Biochemistry, Biotechnology, Chemistry, and related. Perform microbiological testing using laboratory skills such as pipetting and aseptic technique and analyze data to report on microbial hold time testing.
• Quality Control Information Systems: Information Systems, Computer Science, Data Analytics, Engineering, Chemistry, and related. Support various projects such as implementation of Electronic Lab notebooks, validation of lab systems for upgrade, system automation.
• Quality Assurance Disposition and Documentation: Biology, Chemistry, Biochemistry, Biotechnology, and related. Utilize document management system and implement electronic batch release documentation process.
• Quality Assurance and Systems Data: Data Science, Business Analytics, Information Systems, Statistics, Engineering, and related. Design & Build Data Analytics Applications/dashboards that will help improve processes within Quality Organization such as deviations, documentation, quality validation reviews, and compliance activity. Collaborate with Quality Systems to aid in any support needed by the team and/or needed by the Quality Organization with respect to Quality Activity.