Amyris

We are searching for a talented, curious, and self-motivated engineer to join our software engineering team in building the most advanced production-scale synthetic biology platform on the planet. R&D at Amyris is a highly multidisciplinary effort, where we need brilliant contributions from every area of the life sciences and engineering disciplines in order to take projects from concept to market. From hacking directly on DNA in the lab to full scale factory production, every aspect of our work is facilitated and accelerated by software and hardware automation. Our tools integrate the activities of scientists, engineers, and industrial robots to enable the rapid optimization of genetic designs and laboratory processes. Among the tools we have developed are a CAD/CAM system for genetic engineering: a compiler toolchain whose target architecture is life itself. This stack physically integrates high level genetic modules into microbial hosts. We also derive novel strains through random mutagenesis and directed evolution. Using our custom control platform, we then subject these experimental organisms to high throughput performance screening in our state-of-the-art robot labs. Design, develop and maintain web based application written in Python. Collaborate with scientists to transform an understanding of their workflow into designs and implementations of appropriate data models and user interfaces. Effectively communicate with research scientists. Apply best practices of software development throughout your work, while staying abreast of advances in the practice. 4+ years of professional programming experience. Strong coding skills in either Python or a similar language. Ideally deep experience in multiple languages. Experience with full-stack web application development, including coding skills in Javascript, CSS and HTML, and relational database design. Experience developing software in a Unix environment. Dev tools are chosen at the developer’s discretion, but most of the software development and all production deployment is on Linux (Ubuntu). Fluent Linux command-line skills. Interest and ability to communicate with scientists. Excellent written and verbal communication skills