Is it possible to do a PhD in bioinformatics or biostatistics as a trained wet-lab scientist with basic skills (loops, functions, libraries, classes...) in Python and R (probably deeper knowledge in general statistics than the majority of wet-lab scientists)?
I want to switch from wet-lab to dry-lab and want to learn coding during (!) the PhD, but I don't know if I have sufficient basics to get a position. Is it probably better to stick to computational biology (using a bunch of tools for biological purpose or running pipelines instead of programming) and learn programming in my spare time?
Although, I could join a bioinformatics master program, I want to finally earn (at least some) money and dont "waste" time for a second master program.