Viral Synthetic Biologist


Cambridge, MA, US
  • Job Type: Full-Time
  • Function: Life Sciences R&D/Engineering
  • Post Date: 01/14/2021
  • Website:
  • Company Address: , Cambridge, MA

About Asimov

Asimov is a full-stack synthetic biology company combining genetic engineering, automation, and artificial intelligence. Our multi-disciplinary team is building a genetic design platform for advanced manufacturing and therapeutics applications.

Job Description

Asimov’s Synthetic Biology Team programs living cells to create previously impossible biotechnologies.

Position: We are seeking a full-time Viral Synthetic Biologist to engineer viral systems 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 viral genomes and 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 
  • 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 gene editing techniques a plus

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.