Leverdemo 878mo ago

Senior Computational Biologist

United States·San FranciscoFull-Timesenior

OtherComputational Biologist

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________This is an example!________ PLEASE READ: these jobs are testing jobs of Lever's testing environment - please do not apply for this job.

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OtherComputational Biologist

________This is an example!________

PLEASE READ: these jobs are testing jobs of Lever's testing environment - please do not apply for this job.

Lever was founded ten years ago to tackle the most strategic challenge that companies face: how to recruit and hire top talent. We’re building the next generation of hiring software that companies like Netflix, Yelp, Cirque du Soleil, Shopify, and Spotify rely on to grow their teams. We've rethought the talent acquisition paradigm and are the innovation leaders in our space and looking for the right people to join us as we scale. We’re extraordinarily proud of the company we’ve built so far (not to mention humbled to be recognized as the #1 place to work in San Francisco, as well as a top workplace in the entire United States). Our people are Lever’s biggest competitive advantage and we’ll continue investing in our “Leveroos” and people-first culture.

We are searching for a Senior Computational Biologist with deep domain experience in multiomics analysis to join our Software Team and work closely with our Synthetic Biology Team. At Asimov, data is core to our platform. We genetically engineer living cells and generate 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.

Contribute to the design and analysis of engineered mammalian cell lines

Act as an equal partner to the Synthetic Biology team 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