Same here. The more I've progressed in CS, the more dissatisfied I am. Outside of creating algorithms that vie for constant user attention (the basic business model of FAANG), I don't see any fruitful application of my skills. I'd much rather move towards the domains where my knowledge of data, systems, and algorithms could be better utilized (medicine, Genomics, structural engineering, governance etc).
I've done the physics->neuro leap, so I may be of some use here.
The path is pretty clear, but takes time. Essentially, you need to go back to school and learn biology.
Fortunately, many grad programs in the US are desperate for people that want to be trained as biologists but have relevant skills in other areas like CS. So skip going back to undergrad and just apply to grad programs.
Unfortunately, that means you have to join the Ivory Tower's horrible system for a while. A 'good' tactic is to get into a PhD program where you'll be paid, learn everything, get your MS, and then quit the program after ~3 years with a free MS. Fair warning, the learning will be absolutely horrible and you'll be on the bubble of being kicked out; it really is that much info you're trying to digest in such a short time period. But if you're not worried about scholarships and grades, then that's fine. Your PI will hate you, but then again they hate everyone, so it's a wash.
One thing to be clear about though, jobs in biotech are much less well paid than in CS. You're looking at a 1/3rd to 1/4th salary decrease for pure bio jobs as compared to programmer jobs. Even leveraging your coding skills for biotech companies is going to be tough; you'll be pigeon holed into either a lab role or a coder role. The true blended roles are very rare. So much so as that you'll essentially have to start your own company, or be the heart of any company your join. So, good money there, but huge pressures.