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Co-op: Platform Technologies & Innovation

Job in Cambridge, Middlesex County, Massachusetts, 02140, USA
Listing for: Prime Medicine
Full Time position
Listed on 2026-03-14
Job specializations:
  • Research/Development
    Research Scientist, Medical Science
  • Healthcare
    Medical Science
Salary/Wage Range or Industry Benchmark: 60000 USD Yearly USD 60000.00 YEAR
Job Description & How to Apply Below

Co-op:
Platform Technologies & Innovation

Cambridge, MA

Company Overview

Prime Medicine is a leading biotechnology company dedicated to creating and delivering the next generation of gene editing therapies to patients. The Company is leveraging its proprietary Prime Editing platform, a versatile, precise and efficient gene editing technology, to develop a new class of differentiated, one-time, potentially curative genetic therapies. Designed to make only the right edit at the right position within a gene while minimizing unwanted DNA modifications, Prime Editors have the potential to repair almost all types of genetic mutations and work in many different tissues, organs and cell types.

Prime Medicine is currently progressing a diversified portfolio of investigational therapeutic programs organized around our core areas of focus: hematology, immunology & oncology, liver and lung. Across each core area, Prime Medicine is focused initially on a set of high value programs, each targeting a disease with well-understood biology and a clearly defined clinical development and regulatory path, and each expected to provide the foundation for expansion into additional opportunities.

For more information, please visit

Co-Op Assignment Overview

Prime Medicine is seeking a co-op for the Fall 2026 semester with experience in molecular/cell biology-related wet-lab work to join the Prime Editing Platform team. The candidate will contribute to the development of RNA innovations that advance Prime Medicine’s platform capabilities. The qualified candidate will work with a highly collaborative, fast-paced team to design, screen, optimize and validate Prime Editor mRNAs in relevant cell models to support and expand mRNA-based screening efforts.

In parallel, the candidate will help drive the exploration and development of RNA modalities across the organization. The candidate will receive consistent mentorship from experienced scientists and learn a variety of different lab-based techniques and skills. Furthermore, the co-op will learn about data analysis and will have an opportunity to present his/her/their work in team meetings. In this position, the candidate will develop a deep understanding of RNA technologies and gene editing and how these efforts fit into the overall drug discovery process.

Responsibilities
  • Conduct mRNA production via in-vitro transcription (IVT) and purification.
  • Maintain mammalian cell culture, perform cell passaging.
  • Transfect mammalian cells with Prime Editing reagents to determine gene editing activity.
  • Execute and develop routine cell-based assays to screen for novel mRNA constructs.
  • Perform analytical procedures including ELISA, luciferase assay, qRT-PCR assay and gDNA.
  • Maintain a timely and well-organized electronic lab notebook (ELN).
  • Provide preliminary data analysis, interpretation, and contribute to presentations within the Platform team and cross-functional teams.
Qualifications

Required Qualifications
  • B.S./M.S. candidate in Cell & Molecular Biology, Chemical Biology, Biochemistry, or related majors.
  • Firm understanding of molecular biology, cell biology, and biochemistry. Background understanding of genome editing is a plus.
  • Previous wet-lab (molecular/cell biology) experience.
  • Excellent troubleshooting and communication skills.
  • Interest in solving complex problems in a cross-functional collaborative environment.
Preferred Qualifications
  • Familiar with cell-based assays, mammalian cell culture and transfection, and nucleic acid biochemistry.
  • Excels at techniques such as PCR, nucleotide extraction, molecular cloning, ELISA, etc.
  • Ability to use Word, Excel, PowerPoint, and Graph Pad Prism for data documentation, analysis, and presentation.
  • Experience with computational molecular biology tools (e.g., DNA visualization software).
Compensation and Benefits

The pay range reflects the full-time base salary range we expect to pay for this role at the time of posting. Base pay will be determined based on several factors including, but not limited to, relevant experience, skills, and education. This role is eligible for an annual short-term incentive award (e.g., bonus) and an annual long-term incentive award…

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