Transcriptic

Transcriptic is creating a fully automated, integrated, and programmatically controlled science lab to change how science is performed and turn science execution into an information technology. Scientists anywhere can define and (reproducibly!) run experiments over the internet on-demand and without investing up-front in a lab facility. The Transcriptic Common Lab Environment (TCLE) takes Autoprotocol, a high-level JSON description of a science protocols, and executes it on our custom-integrated robotic facilities. The protocols we handle routinely involve solving constraint programming models with thousands of variables and constraints in order to find the best plan that fulfills the scientist’s intent. We are looking for backend engineers to help us with this effort. Scientists manage their experiments through our web application or via our API. We provide a single platform that controls scientific devices from many vendors in a unified way, and an interface to control our automated labs. We are looking for full-stack engineers to help build out our web app. Turning science into an information technology requires being able to encode, abstract, and execute scientific intent programmatically. We work to span the gap between science and our software stack to ensure that science is being correctly abstracted and faithfully executed as well as work on the leading edge to create tooling for better protocol development. We are looking for software engineers with scientific knowledge to join our scientific software engineering group to help define and build out how science will be encoded.