Depending on where you are in the world, you could consider applying for computational jobs at some of the biotech giants (or startups, depending on your cultural preference). There are plenty on the US west coast and around Boston, Seattle, etc.
An alternative is to get a programming job doing something relevant (e.g. something with applied machine learning) and use those skills to work on open-source bio projects in your spare time. You'd then have some money, relevant experience, and demonstrated interest which could be a good foundation for graduate work if you decided to go that route, or for a career in data science if you don't.
Cool. Thanks for the advice. My game plan was pretty much just that. Get a solid programming job doing (preferably) some stats work after graduation (maybe the company will pay for grad school?) and then move on from there. I just wanted to make sure there wasn't one weird trick to landing a research job in data science.
An alternative is to get a programming job doing something relevant (e.g. something with applied machine learning) and use those skills to work on open-source bio projects in your spare time. You'd then have some money, relevant experience, and demonstrated interest which could be a good foundation for graduate work if you decided to go that route, or for a career in data science if you don't.