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Staff Research Associate

University of California - San Francisco
$28.04 - $45.09
United States, California, San Francisco
1 Daniel Burnham Court (Show on map)
Apr 07, 2026

We are seeking a creative, collaborative, and motivated Specialist to join the UCSF Quantitative Bioscience Institute (QBI) Research and Engineering to Accelerate Discovery (READY) Center Team. This role will focus on utilizing cutting-edge CRISPR gene editing methods to support cell engineering projects that are part of a larger research platform designed to study disease biology at the cellular level and identify new therapeutic modalities.

Under general supervision of the READY Center Manager, the SRA II will assist in CRISPR/Cas9 editing experiments to create a vast library of different genomic edits.

  • BA/BS in natural sciences (preferably Biology, Biochemistry, Molecular and Cell Biology or Chemical Biology) or a related science and one or more years of recent, directly related work experience, utilizing the techniques or methods required by the position; and/or equivalent experience/training.
  • Experience in routine cell culture of mammalian cell lines.
  • Practical knowledge and application of basic molecular biology techniques (e.g. nucleic acid extraction, PCR, cloning).
  • Ability to maintain detailed records of experiments in online or physical laboratory notebooks.
  • Excellent verbal and written communication skills and strong attention to detail
  • Exceptional organizational skills and strong attention to detail.
  • Creative thinker with strong problem-solving abilities, and a strong work ethic
  • Ability to clearly communicate information and actively listen to others.
  • Constructively communicate with peers and management to foster a supportive atmosphere.
  • Effectively collaborate with cross-functional teams to achieve project goals.
  • Maintain a positive attitude when faced with challenges or changes.
  • Working knowledge of MS Office (Word, Excel, PowerPoint).

Department Description :

The Quantitative Biosciences Institute (QBI) is an Organized Research Unit (ORU) at UCSF that seeks transformative results in biomedicine; QBI supports fundamental quantitative research in the biological sciences. QBI fosters collaborations across the biomedical and the physical sciences, seeking quantitative methods to address pressing problems in biology and biomedicine. Motivated by problems of human disease, QBI is committed to investigating fundamental biological mechanisms, because ultimately solutions to many diseases have been revealed by unexpected discoveries in the basic sciences.

Required Qualifications :

  • BS or BA in the natural science (preferably Biology, Biochemistry, Molecular and Cell Biology or Chemical Biology) or a related science and one or more years of laboratory experience
  • Demonstrated proficiency with generating iPSCs
  • Demonstrated proficiency with CRISPR/Cas tools tools and their applications for genome editing and high throughput functional genomics
  • Experience with automated or semi-automated systems for cell culture or molecular biology techniques
  • Ability to independently perform routine molecular biology assays such as PCR, qPCR, nucleic acid extraction

Preferred Qualifications :

  • Experience with mammalian cell culture
  • Understanding of sequencing methods and their application

Required Qualifications :

  • BS or BA in the natural science (preferably Biology, Biochemistry, Molecular and Cell Biology or Chemical Biology) or a related science and one or more years of laboratory experience
  • Demonstrated proficiency with generating iPSCs
  • Demonstrated proficiency with CRISPR/Cas tools tools and their applications for genome editing and high throughput functional genomics
  • Experience with automated or semi-automated systems for cell culture or molecular biology techniques
  • Ability to independently perform routine molecular biology assays such as PCR, qPCR, nucleic acid extraction

Preferred Qualifications :

  • Experience with mammalian cell culture
  • Understanding of sequencing methods and their application
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