Do you want to develop software that helps program biology? Join the Software Team Summer 2022 Internship program at Ginkgo Bioworks and become a part of the next great technological revolution – constructing, editing, and redesigning the living world in order to answer the globe’s growing challenges in health, energy, food, materials, and more. This is your chance to not only develop algorithms and frameworks at the cutting edge of software technologies, but also work side-by-side with the brightest scientists, organism engineers, and more. You’ll have the opportunity to contribute to the exciting frontiers of synthetic biology, including DNA design, genome sequencing, and automating experiments at scales previously unheard of.
At Ginkgo, our mission is to make biology easier to engineer. 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. We’re looking for motivated Software Engineering Interns who will design, develop, and deploy the software used by Ginkgo scientists to create these new organisms, conduct experiments, control lab robots, and analyze massive amounts of data. You’ll collaborate with a team of talented and diverse engineers, product managers, experts in data analysis and bioinformatics, and, of course, your customers – the dozens of biologists and chemists at Ginkgo.
Please note: This program is a paid internship which will take place during Summer 2022. Candidates who are able to be onsite at our Boston office locations 3 days per week (or more) are preferred.
- Designing and implementing tools and workflows for genetic design of genes, metabolic pathways, and genome modifications
- Programming robots to assemble DNA, modify genomes, culture cells, and prepare assay samples
- Developing verification tools for strain construction
- Developing data analysis tools and workflows for processing and analyzing next generation sequencing (NGS) and mass spec data