Cell and Gene Therapy Scientist

  • Cynet Systems
  • Cambridge, Massachusetts
  • Full Time
Cell and Gene Therapy Scientist

Job Description:

Pay Range: $55.02hr - $60.02hr

Technically support non-viral gene therapy team through execution of thoughtfully designed cell biology experiments in collaboration with peers.

Develop and execute techniques for successful gene editing of various cell types (including technologies such as electroporation and delivery of LNPs).

Evaluate target editing using various types of analysis to evaluate mRNA and protein expression by flow cytometry.

Cell sorting experience and magnetic isolation of cells is preferred.

XXgn and work with diverse cell culture systems to evaluate function of edited cells.

CollaboXX across teams within and outside of the GMU department.

Act as an impactful contributor on different projects in the group.

IncorpoXXs strong research integrity practices.

Basic Qualifications:

Bachelor's Degree in biology, chemistry, biochemistry, genetics or related field plus minimum 6+ years of relevant research experience in an academic or biopharmaceutical setting OR Master's Degree in immunology, biology, chemistry, biochemistry, genetics or related field plus minimum 3-5 years of relevant research experience in a biopharmaceutical setting OR PhD in immunology, biology, chemistry, biochemistry, genetics or related field.

No Postdoc experience required.

Prior experience involving genome editing applications is preferred.

Experience culturing primary human cells is required.

Preferred cell types include NK cells, human hematopoietic stem cells and/or T cells.

Experience independently preparing and executing flow cytometry experiments is required.

Experience using the Client Novocyte platform is preferred.

Driven and results-oriented, with a track record of contribution to research projects

Demonstrated ability to work well under supervision and to deliver well curated results on time.

Exemplary written and oral communication skills.

Employers have access to artificial intelligence language tools (AI) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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Dice Id:

10516350

Position Id:

2025-220370
Job ID: 482215294
Originally Posted on: 6/21/2025

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