

Is there a bright side?
To be fair I might have exaggerated a bit… I can navigate my way around pretty advanced statistics/machine learning stuff, it’s just that I don’t have enough fundamentals to call myself a programmer; I assume most of my classmates are similar. But on the positive end, there are a lot more advanced methods in biomedical research now. People used a lot of cutting-edge machine learning in biomedical research (case in point: IBM and DeepMind had biomedicine in mind when they are trying to diss chess champions with AI models). Also there are some very competent programmers/research groups who ended up building open source bioinformatics tools that everyone could use, even though it seems against the hyper-competitive trend of biomedical research. So even if individual labs couldn’t do much, there are indeed better tools/pipelines available now
Are there jobs out there?
I… think a lot of research labs/pharmas are still pretty desperate for competent (or just any) bioinformaticians? Not in computational biology/methods development though, that field is too competitive even for me (and there are a surprisingly large amount of AI/ML/LLM slop)
Arcade rhythm games (DDR, Pump It Up, maimai, etc) are subsidized by the Japanese government to get Otakus/NEETs to go out, touch grass, and exercise
Have you ever wondered why you can have 10-15 minutes of game time for the same amount of money as one (sometimes half) a pull on a claw machine?? /puts on tinfoil hat