I don't know international issues or bio well, but fwiw I would resist the urge to spend a ton of time thinking about planning various possible career paths in the distant future as an young undergrad. The future is hard to predict. I'd focus on getting the skills that will give you options.

Respectfully, you may need to just "put your head down" for a couple years and just focus on studying really hard and not think too much about the distant future. I'd start by focusing your studies on foundational subjects like math and then gradually shift your coursework/time more to applied subjects (e.g. statistics -> bio) as you go through undergrad and beyond.  Take hard stem classes (within your level) and try to learn as much math as possible. Don't worry about getting straight A's. B's in hard classes is better than A's in easy classes. If you can understand, say, scientific computing, MV calc, linear algebra, real analysis + functional analysis (optional), probability, bayesian statistics, and machine learning/deep learning, and you also you also background in bio (esp. if you have some research experience), you will likely be accepted to good phd programs (let alone masters) in U.S. and elsewhere. Private sector jobs or research assistantships will likely also be available. 

Every once in a while come up for air and reorient your direction. But I think it's the long slow slog (through the textbooks,  psets, coding assignments) that will bring you success rather than getting the perfect career plan from day one.  

This seems like the perfect situation for 80k career advising, definitely give that a try. These are the kind of problems that they know the answers to.

With this caveat: I like bioinformatics a lot, but I think that 80k is currently biased against bioinformatics. Things like Neurofeedback have good odds of becoming an extremely high-impact area, because they might soon be able to make people extremely good at brainstorming, which will make solvable problems easier to solve. That would make neurology better for computer science than biochemistry. 

It will take 3+ years for Neurofeedback to start contributing to meat substitutes; but, at the same time, mean substitutes might be finished in 3+ years, and the only remaining problem will be to convince everyone to switch to meat substitutes. I think that we currently have the technology to make Neurofeedback good enough to help people solve difficult problems, and the only tasks remaining are large-scale trials, research, and engineering to adapt existing technology.

I recommend going to Berkeley/Oakland if you can. Most EA people are there, and they are very easy to talk to, even if you are not good at socializing. If 80k advising thinks it's a good idea, you could even try visiting for a couple weeks during this summer (make sure to ask if you're a good fit for that); the EA people in Berkeley/Oakland have long lists of valuable advice, including advice for getting accepted into a really good masters program at Uberkeley.