Biologist – Genetic Engineering for Fluorescence Microscopy

Job ID:
Job date: 2018-01-02
End Date:

Company : Chan Zuckerberg Biohub 

Country :

Role : Other 


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Job Description:
We are looking for a Genetic Engineer that will design new labelling and optogenetic strategies for live fluorescence imaging.

What we provide:

  • The resources to conceive disruptive technology and obtain ground-breaking results to advance knowledge of cell biology.
  • Collaborative environment with access to talent and resources of the Biohub platforms (Sequencing, Bioengineering, Genome Editing, Data Sciences, and Advanced Imaging).
  • Access to collaborators, resources and facilities at Stanford, Berkeley and UCSF.
  • Competitive compensation and benefits commensurate with experience.
  • On site free snacks and beverages 🙂
Responsibilities:
  • Genetic engineering of novel fluorescence labelling strategies
  • Transgenesis in and maintenance of model organisms (Worm, Fly, Fish)
  • Fluorescent live imaging with the Lab’s custom built microscopes
  • Collaborate with Lab’s microscope designer and builder on imaging experiments
  • Collaborate with CZ Biohub’s Genome Engineering Platform
  • Collaborate with the Biohub’s DataScience Platform on image analysis
REQUIREMENTS:

Experience in live fluorescence microscopy and image analysis is highly desired. The candidate should be willing to learn new skills and knowledge, think creatively and show enthusiasm while engaging in risky but potentially rewarding projects.

Mandatory:

  • Genetic engineering: molecular cloning, transfection, cloning, transfection, CRISPR-Cas, TALENs, ZFNs, Transposases, Recombinases…
  • Experimental prowess in cell culture and engineering
  • Experience in fluorescence imaging (Confocal, Light-sheet)
  • Optogenetics and other light-inducible constructs
Desired:
  • NGS library preparation, sequencing, and analysis
  • Fluorophore Engineering
  • Proficiency in Python for image processing and data analysis
  • Synthetic Biology


Skills :

Areas :


Additional Info:
Lab Vision

The Discovery Machine Lab led by Loic Royer at the Chan Zuckerberg Biohub will design and build lightsheet microscopy based ‘discovery machines’ that will not only acquire image data, but also perform online processing, instant 3D visualization, adaptive imaging, and automated photo-manipulation. These integrated instruments bring together state of the art optics, robotics, machine learning, and image analysis with the aim of building comprehensive atlases of development and modeling complex cellular choreographies.

[Click Here to Access the Original Job Post]