>>11364984Really bad idea. Modern AI just doesn't work for finance and it's mostly believed (this comes from very old analysis not analysis from last year) that financial markets move based on feelings and not the actual history of the market (news, rumor, trends, politics). Thus, no amount of data analysis will help for this because most of the context is being created behind closed door by a select few strong players.
Moreover the bioinformatics is not going to be useful in any capacity whatsoever in finance, even when the data science stuff will help for auxiliary tasks.
At least data science > bioinformatics makes sense since there's lots of bio data in need of strong data analysis that simply isn't available now due to biologists' outright nonexistent math/stats/computing skills (in particular they actively hate math to the point a single equation is enough for them to immediately give up whatever they're reading).
I also believe
>>11363714 is correct and now is the best time to get into bioinformatics. I believe it's due for a deep learning-tier hype cycle soon.
Finally, as mentioned previously, data-related jobs are aplenty and will never disappear (what might change is how they are solved more than their existence, but you lose nothing from having acquired previous experience in technologies that will eventually depreciate, because it still gives you opportunities for hands-on exploration and better understanding of why the new methods work/are better/are likely to work/etc.). At current, they also pay hand over fist everywhere.
All in all, I conclude that data-related degrees are the best (though in that case, machine learning, heavily deep learning rather than 'traditional' methods, is the way to go and NOT data science-titled programs) if the goal is to use computers to achieve something interesting or useful in biomedical domains, and moreover that this hedges against future issues with survival.