Author here. This is spot on. The majority of the code I write is either piping data around to existing tools using shell scripting and Snakemake or writing the data processing code myself when there isn't a tool that does what I need. Usually, I'm working alone or with a few other computational biologists. Many of my scripts are one-off but they have the distinct tendency of growing in complexity and scope if they are useful. That's one of the big advantages with Nim in my mind: you can write a quick and dirty script and have it be pretty fast and then go back later and optimize it to a few percent of C without having to rewrite your code in another language. In this sense, it's quite like Julia (another really good language).