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Mammalian Synthetic Biologist, Asimov ( Cambridge, MA)

We are fueled by a vision to transition synthetic biology to a fully-fledged engineering discipline. Should you join our team, you will grow with a constantly evolving organization and push the frontiers of biological engineering. Culture is key to Asimov; we believe that our mission can only be achieved by a diverse team bringing a mixture of perspectives to create a future powered by synthetic biology.

Asimov engineers living systems to create transformative biotechnologies with outsized global impact.

Position: We are seeking a full-time Mammalian Synthetic Biologist to engineer mammalian cells with unconventional functions. You will use the latest molecular biology, quantitative cell measurement, and -omics analysis techniques. The ideal candidate is obsessed with the question of how to best engineer complex biological systems. This is a unique opportunity to work at a nimble, forward-thinking synthetic biology startup and help build the foundation for engineering biology.

As part of the Synthetic Biology Team, you will:
  • Design, build, and test innovative genetic platforms and programs in mammalian cells
  • Create experimental workflows and collect quantitative measurements for engineered cells including flow cytometry and RNA-seq
  • Analyze and distill insight from complex molecular data streams
  • Collaborate frequently with the Software Team to incorporate biological design principles and experimental data into the software pipeline
  • Communicate methods and results with other scientists, industry executives, and academic researchers
  • Organize and document experiments, genetic designs, and data
  • Work effectively as part of a multifunctional team in support of a synthetic biology design platform
Qualifications:
  • Ph.D. in Biological Engineering, Molecular Biology, or a related field
  • 3+ years of experience doing research in an academic or industry lab setting
  • Skilled in molecular biology and cell culture techniques
  • Ability to work both independently and in a collaborative team environment
  • Quantitative data analysis expertise
  • Experience in flow cytometry, -omics, and analytical techniques a plus
  • Experience with bioproduction and GMP regulation a plus
  • Experience with viral vectors and gene editing techniques a plus

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Lio Tariman

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