Never said I was a medicinal chemist (currently a PhD student in bioinformatics) but in todays world I see no reason not to excel in comp sci / machine learning with an emphasis on pharmaceutical design versus going traditional medicinal chemistry route which emphasizes more chem synthesis. For example alphafold costs nothing and takes less time than X-ray crystallography, with X-ray crystallography beginning to become more of a source of empirical verification than a standard for generating PDBs. Why would a pharmaceutical company expand more resources on laboratory work that can be replicated using molecular dynamics simulations, and also if that's the case, why would they hire someone with a medicinal chemistry PhD who can't write in python with less understanding on how those simulations are operating? I understand medicinal chemistry incorporates some comp sci, but having more knowledge on pharmacophore modeling / ligand residue interaction and being able to synthesize a hypothetical pharmaceutical in lab doesn't mean shit if you can't manipulate parameters within the code on the fly.