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iPSC Editing Scientist/ Cell & Genome Engineering Scientist – iPSC Platforms
iPSC Editing Scientist/ Cell & Genome Engineering Scientist – iPSC PlatformsTap Growth ai • South San Francisco, California, US
iPSC Editing Scientist / Cell & Genome Engineering Scientist – iPSC Platforms

iPSC Editing Scientist / Cell & Genome Engineering Scientist – iPSC Platforms

Tap Growth ai • South San Francisco, California, US
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🧬 We're Hiring : iPSC Editing Scientist! 🧬

We are seeking to hire an iPSC Editing Scientist to join our team in South San Francisco, CA.

📍 Location : South San Francisco, United States

⏰ Work Mode : Work From Office

💼 Role : iPSC Editing Scientist

Pay Range : $57,574.40 – $110,635.20 (Dependent on Experience)

What You'll Do :

∙Utilize state of the art technologies for cell and genome engineering

∙Execute protocols to maintain and differentiate induced pluripotent stem cells (iPSCs)

∙Perform analytical workflows encompassing but not limited to gene-based assays and

cell-based assays

∙Data acquisition, analysis, interpretation and communication of findings in internal

scientific meetings

∙Coordination of equipment on-boarding and maintenance

∙Maintain compliance with lab safety, training and documentation

What We're Looking For :

∙BS / MS in Stem Cell Biology, Molecular Biology, Genetics or a related discipline

∙Strong background in sterile aseptic mammalian cell culture techniques and experience

working with human iPSCs

∙Technical expertise in at least two of the following areas : cell based functional assays,

image acquisition / analysis, molecular assays (NGS, RT-PCR, dd-PCR), flow cytometry

∙Proven ability to multitask, collaborate and communicate effectively

Other Preferred Qualifications :

∙Experience with single cell cloning and stem cell differentiation

∙Familiar with automation, liquid handling and high-throughput screening

∙Experience with delivery of genome engineering systems to iPSCs

∙Prior industry work experience

∙Experience using software for flow cytometry analysis, electronic lab notebook and data

visualization. Some examples include : FlowJo, Benchling, Spotfire, GraphPad Prism,

Geneious, Snapgene etc.

Ready to shape the future of medicine? 🚀 Apply now and join our innovative team!

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