What a great time in history to witness the twin revolutions in AI and Genomics. There is really no end to where your intellectual curiosity can take you. If you harbor more of a EE type personality you can explore SynthBio and creating "living machines". If interested in the roots of human intellect and consciousness, Brain Science and Neuromorphic computing architectures might be of interest. If you are practically minded and focused toward a career after graduation then supplement your coursework with an intro to Cloud Life Sciences by seeking to master Variant Transforms type genomic querying tools. And if you are deeply theoretical and considering a long career in academic research newly emergent fields such as Quantum Bio, which encompass not just the quantum mechanical perspective in the life sciences, but also quantum advantages in drug discovery.

Personally, if I were in your shoes, looking out to a 2 year plus timeframe for when you graduate. And this may sound either a bit cliche or forward thinking depending on your worldview. At the very least get an introduction to "blockchain applications in healthcare". Startups like Nebula Genomics are using applied cryptographic techniques to keep genomic data private and return its inherent value back to its original owner.

Best of luck ;)

MIT 6.S897/HST.956: Machine Learning for Healthcare

https://mlhc19mit.github.io/

Those you mentioned seem good. Any high level course that makes well with what you bring with CS really.

Taking a course in statistics and statistical thermodynamics would be helpful.

Why statistical thermodynamics?

OP mentioned drug discovery. If he wants to go into that direction or if he would like to go into protein modelling a good grasp of statistical physics is essential, you can't do without.