I'm a student in a subfield of CS and biology, getting my bachelor's degree later this year and planning on continuing to masters (and maybe beyond). My ultimate goal is to work on the edge between biology, CS and datascience, preferably in an industry-backed research centre (think: Microsoft labs, or Deep Mind).
I decided that when it comes to my current career possibilities, I will prioritise learning before anything else. The question is, how do I do that? The process is two-fold: first I have to choose a workplace, and once I'm there I have to do certain things in order to reach my goal. The "best path" will then be a combination of those two things.
I'm lucky enough to be a very good student, so with some amount of effort I can get to most places I'd like. The possibilities are roughly:
- a big pharma corp, in which I've worked already, and that has some really brilliant people in it
- a research centre, in which I work at the moment — this would be probably the only place to do proper scientific research in, because I think they don't open student positions in industry R&D labs
- a big non-pharma corp (FAANG?)
Which one of those do you think should fit my goals the best? And what do I do once I'm there?
Thanks, this is a nice POV, and sounds about right. Once I'm there (wherever that is), what should I strive for? Being in a small team with a dedicated person to ask things? Or being alone so that I ave to do everything myself, i.e. learn to do everything?
That's the problem I see with going small, by the way. I think having a 'mentor' (or something as close to one as possible) would be really good for my learning, but show me a startup that can afford more than a week or two of onboarding time; I'd be afraid they just show you the basics and leave you to struggle alone.