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Apply Asimov
  • Computational Biologist / Senior Computational Biologist Title
  • Boston, MA City
  • Computational Biology Domain
  • Description

    Our mission at Asimov is to radically advance humankind's ability to design living systems. We're developing a mammalian synthetic biology platform––from cells to software––to enable biotechnologies with outsized impact, with an initial focus on gene therapies, cell therapies, and protein therapeutics.

    We are searching for a Computational Biologist with deep domain experience in multiomics analysis to join our team. At Asimov, data is core to our platform. We genetically engineer living cells and refine our designs using high-dimensional NGS data using RNA-seq, ATAC-seq, ribosome profiling, genome sequencing, and more. The ideal candidate is motivated by designing complex cellular systems and distilling insight from large biological datasets. This is a unique opportunity to work at a nimble, forward-thinking synthetic biology startup and help build the foundation for engineering biology.

  • Responsibilities
    • Contribute to the design and analysis of engineered mammalian cell lines
    • Work closely with bench scientists by guiding experimental workflows and quantitative measurements to ensure statistical rigor
    • Regularly dive deep into the multiomics stack, innovate on analysis techniques, and present findings to our organization, leadership, and partners
    • Explore novel genomics and machine learning algorithms
    • Pair with our software engineers to automate the lifecycle of our cell programming platform through NGS analysis and cutting edge machine learning methods
    • Be directly involved in the long-term computational biology roadmap at Asimov
    • Be directly involved in building our technology platform, business strategy, and company culture
  • Requirements
    • You are a highly skilled technical leader in computational biology interested in engineering biology, and with years of experience in an industry or research position.
    • You are passionate about joining an early stage startup where autonomy, passion to learn, and excitement to engineer biology take precedence over process and ego.
    • You embrace ambiguity and always drive for impact. In addition, you have extensive experience with software scripting (e.g., Python and R), bioinformatic toolsets, high-performance and cloud computing, a strong foundation in statistics and statistical design of experiments, a collaborative mindset, and a passion for continuous learning.
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