Senior Computational Biologist
San Francisco, California
Engineering – Back End /
Full-Time /
________This is an example________
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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.
As Senior Computational Biologist you will have the opportunity to:
- 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
About you:
You are a highly skilled technical leader in computational biology 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), analysis of NGS datasets, a strong foundation in statistical design of experiments, a collaborative mindset, and a passion for continuous learning
THE LEVER STORY
Lever builds modern recruiting software for teams to source, interview, and hire top talent. Our team strives to set a new bar for enterprise software with modern, well-designed, real-time apps. We participated in Y Combinator in summer 2012, and since then have reached our Series D, raising more than $120 million. As the applicant tracking system of choice for Netflix, Atlassian, KPMG, and McGraw-Hill Education, and thousands more leading companies, Lever means you hire the best by hiring together.
Lever is an equal opportunity employer. We are committed to providing reasonable accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance during the application process, please don’t hesitate to reach out! We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives. Learn more about our team culture and commitment to diversity and inclusion.
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