Beam Therapeutics
Quality Control Co-op
Cambridge, MA · Intern · Internship
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About the role
- Beam Therapeutics is a biotechnology company committed to establishing the leading, fully integrated platform for precision genetic medicines.
- To achieve this vision, Beam has assembled a platform with integrated gene editing, delivery and internal manufacturing capabilities.
- This has the potential to enable a wide range of therapeutic editing strategies that Beam is using to advance a diversified portfolio of base editing programs.
Responsibilities
- Organize, document and archive historical data sets.
- Support quality event documentation (e.g., Deviation, CAPA, Change Control).
- The co-op will provide operational, administrative, and laboratory support to the QC organization.
- This role is intended to support PLI readiness, method lifecycle activities, laboratory organization, reagent traceability, and quality-system-related activities while providing hands-on exposure to a GMP-regulated laboratory environment.
Requirements
- Knowledge of ICH/USP guidelines is highly desirable.
- Must be a team player, comfortable working collaboratively and thriving in a fast-paced environment.
- Applicants must be currently enrolled in a degree-granting college or university program and maintain their student status throughout the duration of the co-op to be eligible.
- Gain hands-on experience with analytical methods and techniques commonly used in the pharmaceutical and biotech industries.
- Pursuing a BS or MS in biological sciences or a related field (Biochemistry/Biophysics, Cell Biology/Molecular Biology, Chemistry)
- Completed entry level biology, chemistry and biochemistry courses
- Completed of biology, chemistry and biochemistry lab courses.
- Hourly pay will will be determined based on several factors, including but not limited to, relevant experience, skills, and education.
- Co-op Hourly Pay Range
- $23 - $34 USD
Compensation
- Co-op Hourly Pay Range
This listing is sourced directly from Beam Therapeutics's careers page and normalized into a canonical job model.