Software is everywhere in science

Software is now so integrated into biology, medicine and other scientific disciplines that breakthroughs would be impossible without it. Software lets us iterate faster, explore bigger questions, reproduce findings and be more confident in out results.

In addition to coding, knowing how to use standard tools, how to write and test well-designed, dependable programs, and how to collaborate with peers is critical for modern scientists. Unfortunately scientists are neither taught these skills in academia, nor trained when they enter industry.

Most publicly-available material is made for software engineers in mind. There’s a gap in resources for scientists — who don't have to be professional software engineers and should in fact use a specific subset of software engineering tools altogether.

Adapted from our course at Stanford, we’ve designed a workshop that is tailored towards the needs of industry scientists. We work specifically with the needs of a company’s R&D team or research group, and provide training on which tools to use, how and when to use them, and how to incorporate testing and peer review.