I'm in the process myself right now, and got a few useful advice from friends and colleagues who did it before, although I'm looking mostly at data scientist positions, not just statistician. Most of the following advice is probably irrelevant for pharma industry statistician jobs, but I don't see a lot of these jobs anyway.
Learning Python opens a lot of opportunities, and it's really not hard coming from R. There's a good course on Udemy, wait for it to be discounted (if it's not, open a private navigation window and it will probably be).
You could learn SQL too if you have one-two weeks available, never a bad idea.
Specifically for data science, try to do a few challenges on kaggle. For statistician position, I think it's mostly irrelevant.
Someone had advised DataCamp a few years ago, but I found it pretty bad (it basically only teaches the basic syntax of different packages). The certification may help make sure HR doesn't throw your CV before passing it to someone competent though.
Finally, look for jobs where the recruiter came from academia. They're much more likely to look at your cv and understand and appreciate actual statistics skills (my experience so far, and what others told me too). Networking is also important, you or people around you certainly know some people in industry.