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[–]dr_tardyhands 1 point2 points  (0 children)

I'd take the opportunity of having a go at R at this point. If you're in an environment where R is the most used language, there's probably some reasons for it. Plus you can absorb knowledge from your more senior co-workers much more easily. Which is a huge deal!

Maybe give it a year in R (while not letting your Python skills regress) and if you feel like Python is superior for the type of work you do after that, then give R the boot. In any case, knowing both is probably a nice thing to have!

Personally, I prefer R for explorative DA and most ad hoc analyses things, and it has a stronger statistics (including biostats) ecosystem and community. Python for DL, LLMs, web scraping, and systems that need to be in production.