Distributed computing never really took off in bioinformatics, because most tasks are conveniently small. For example, a human genome is small enough that you can run most tasks involving a single genome on an average cost-effective server in a reasonable time. And that was already true 10–15 years ago. And if you have a lot of data, it usually means that you have many independent tasks.
Which is nice from the perspective of a tool developer. You don't have to deal with the bureaucracy of distributed computing, as it's the user's responsibility.
C++ is popular for developing bioinformatics tools. Some core tools are written in C, but actual C developers are rare. And Rust has become popular with new projects — to the extent that I haven't really seen C++20 or newer in the field.
So from what I see actual programming language doesn't matter as much as how the work is organized. Anything helping people simplify this task is of immediate benefit to the science.
I haven't talked to anyone writing C++ code on a HPC cluster that I'm working on in a long, long time. And that's in industrial/chemical/automotive fields.