Our mission is to make biology easier to engineer. Ginkgo is constructing, editing, and redesigning the living world in order to answer the globe’s growing challenges in health, energy, food, materials, and more. Our bioengineers make use of an in-house automated foundry for designing and building new organisms. Today, our foundry is developing over 40 different organisms to make different products across multiple industries.
As a Computational Biologist in our NGS group, you’ll support Ginkgo’s organism engineering programs by delivering insights from genomic, transcriptomic, and metagenomic datasets. By forming a collaborative loop with organism engineers, you’ll help design better experiments and reach conclusions faster. By adding your own expertise to an interdisciplinary team of bench scientists, computational biologists, data scientists, and software engineers, your role will be critical to developing world-changing methods for engineering biology.
Collaborate with wet lab operators on experimental design and analysis to develop and optimize new analytic approaches using NGS technologies
Analyze sequencing data from multiple NGS technologies and diverse organisms
Analyze varied genomic data sets (transcriptomics, resequencing, de novo genome assembly, metagenomics, transposon mutagenesis, epigenomics, etc.)
Improve, formalize, and document internal codebase assets
Standardize NGS annotation processes for onboarding of new organisms
Interface with software engineers to create and implement NGS data analysis pipelines for production use
Collaborate with organism engineers to plan projects and write proposals
Run and monitor production code for data analysis
Support data mining for discovery projects
Monitor scientific literature for new methods and data analysis tools
Effectively communicate scientific results to technical and non-technical audiences
Desired Experience and Capabilities
PhD with at least 1 years of experience (or MS with at least 4 years of experience) in a relevant life science/computational biology field
Demonstrated strong skills in computational biology
Experience in epidemiology, biosecurity, epigenomics, or metagenomics a plus
Experience with many or all of the following: Python (and/or R), bash/unix scripting, common bioinformatics tools (samtools, bwa), workflow management systems (snakemake, nextflow), relational databases (SQL), GraphQL, distributed computing (AWS/Google Cloud), Docker, software version control (git)
Ability to work effectively in a cross-functional team environment
Flexibility and willingness to learn in a rapidly changing, growing organization
To learn more about Ginkgo, check out some recent press:
We also feel that it’s important to point out the obvious here – there’s a serious lack of diversity in our industry, and that needs to change. Our goal is to help drive that change. Ginkgo is deeply committed to diversity, equity, and inclusion in all of its practices, especially when it comes to growing our team. Our culture promotes inclusion and embraces how rewarding it is to work with people from all walks of life.
We’re developing a powerful biological engineering platform, so we must remain mindful of the many ways our technology can – and will – impact people around the world. We care about how our platform is used, and having a diverse team to build it gives us the best chance that it’s something we’ll be proud of as it continues to grow. Therefore, it’s critical that we incorporate the diverse voices and visions of all those who play a role in the future of biology.
It is the policy of Ginkgo Bioworks to provide equal employment opportunities to all employees and employment applicants.