I am about to finish my undergraduate degree in genetics, into which I have incorporated a bit of compsci/compbio/bioinformatics (my university allows a lot of flexibility with study plans).
I am planning to continue my education with a Masters in biosciences next year, which involves a mix of higher-level classes and an ongoing research project. We need to seek out the research project by approaching potential supervisors to find one that interests us. I would like to make sure that my thinking is on the right track, and so I was hoping that some of you might be happy to provide some feedback/guidance on my plans so far.
I have met with two supervisors so far. The first already offered me a bioinformatics project around large-scale genomic/transcriptomic analysis of a couple of invasive species, with the aim of informing the design of suppression-drive technologies for pest control. I find this project really enticing as I have a strong interest in both animal welfare (including wild-animal welfare) and bioinformatics, and I think this would be a great way to combine the two. The second supervisor I met with had projects that were less applied, and had a broader scope, all using bioinformatics to study large datasets to investigate sources of diversity among humans. This lab was a bit less exciting to me but the supervisor was more hands-off in terms of projects, giving their students freedom to develop their own projects (within reason), which might mean that I could develop a more optimal project than the other one I was offered. However, the projects seemed more about discovery rather than application, which makes me uncertain about how interesting/beneficial it could be, although they do use a range of highly-transferable techniques.
Overall I'm trying to think through a list of pros and cons about both of these labs, as I would ideally like to a) have a project that is directly beneficial and b) gain useful experience that sets me up for an effective career in industry or research, whichever I decide. With that being said, I have a few main questions I'm mulling on:
- How important is making the right choice, really? Is it more important to just find a project that interests me, and hope I can transfer my skills anyway?
- On that point, is my choice likely to cut off other options and pathways?
- Should I aim for a lab that isn't as directly interesting to me but might allow me greater freedom to design an optimal project?
- Is it worth going for a project that is less interesting but will make me more employable/broaden my options?
Though the first supervisor/project still interests me the most, I'm wondering if I'm missing opportunities to work on a more fulfilling project that would set me up better for my next career step. Some of the areas I'm especially interested in working in are wild-animal welfare and cell agriculture, so I'm trying to keep my options open there. Some of the other projects available that I was also interested in are related to pesticide design, environmental DNA for monitoring waterway ecology, threats to human fertility, and plant engineering for nutritional enrichment.
I realize I'm just dumping a bunch of information and this might feel more like a journal entry than a question, but it's because I'm really not sure what things I should be prioritising or thinking about when making my decision, and I'm not sure what bits of information are important. I'm very sorry for being so verbose!
I would really appreciate if anyone with more experience would be willing to provide any advice or thoughts on my decision-making so far, as it would be a great help in coming to a decision. And even if you don't want to provide any advice, thank you so much for reading to the end of my ramblings.
Thanks in advance :)
I made an EA-inspired career change into biomedical engineering and am midway through an MS, so I feel I can speak to some of this.
Speaking for myself, having freedom to develop my own project would have been suboptimal. One of the biggest values of grad school is absorbing the strategic knowledge of an experienced supervisor. The most capable people in our prestigious lab defer heavily to the PI. Not all PIs are worth deferring to. You should seek a lab run by a PI whose judgment in project selection motivates you the most.
It's important to choose a lab where you won't find your growth bottlenecked by something pointless. You want the limiting factor to be your own skills, time, and energy. Here are some things I would make sure you'll have:
It won't cut off many options and pathways, although one thing I can think of is that, as an MS student, you're unlikely to be competitive for the NSF GRFP (PIs steer their PhDs toward that), and you won't be eligible for it after doing the MS.
What it will do is give you a comparative advantage that will exert a strong pull in a certain direction. You'll use your experience to get a PhD position or your first industry job, and that will tend to give you more forms of related experience, funneling you into a niche.
You can fight against that to some extent, but it takes effort and you will not have perfect control. After your MS, you'll be in debt, 2 years older, and feeling pressure to find your next step. You'll have less slack than you do right now, but more doors will be open to you.
No, I think you should aim for a lab that will give you heavy guidance in constructing your project. Good strategic and technical mentorship is invaluable. When the lab constrains your project, it's a sign they have a focused research agenda that your work fits into. That means your work will enhance somebody else's. Everybody is therefore motivated to help each other. This is good for research.
Choosing your own project that doesn't fit with everybody else's means that nobody's directly incentivized to help you. You miss out on a HUGE amount if you wind up in this position. Ideally, there should be a specific person in your lab you can name whose own research will be drastically accelerated by your own project (which is something you'll only figure out after you join the lab).
I think it's very good to choose projects that give you at least 1 marketable skill so you can get your foot in the door somewhere after you graduate. That's something you can discuss with the PI. But don't trade off too much motivation for marketability. If you're choosing between a fascinating project that uses only skills with no market value, vs. a fairly interesting project that will also teach you the skills to get your first postgraduate job, probably go with the second one. It's only 2 years.
Hi there, thank you so much for the fantastic, detailed reply, I appreciate the effort.
It's really good to hear your perspective on being able to choose my own project, as that's something I'm concerned about too. The second supervisor did mention that that is a challenging thing for students to manage, and so I am more drawn to being able to complete a pre-designed and well-constructed research project than trying to pull one together on my own.
I just realized that I completely neglected to mention in my original post that I am from Australia, which is a pretty major detail but only really means that that advice about the NSF GRFP doesn't apply. Given that I (hopefully) won't be in as much debt completing my MS in Australia rather than the US, I hope that that might give me a bit more "slack" as you say. Nevertheless, I understand what you're saying about being "pulled" in a certain direction and that's something I'll take care to be aware of.
The advice about making sure my work is directly helping someone else's is excellent, and I know for sure that that will be the case for the first lab, as the supervisor clearly explained how the research is contributing to the lab's agenda, and there is a postdoc in the lab that has similar research so will be apparently guiding me throughout.
On the last point, I might try to recontact the first supervisor to get a general idea of what techniques they use in their lab and that I would be using, to try to gauge how marketable my time in the lab would make me.
Once again, thank you for taking the time to write such a thoughtful and useful reply!
Absolutely! It sounds like your were intuitively being pulled in this direction anyway, so it sounds like you have good judgment and that will take you far. Best of luck.
This was one of the best written posts on the forum. It's clearly motivated, expresses the issues, the context and your uncertainty and confidence well.
I think you have good answers already.
Here's some other considerations (that are mostly general):
More background:
I'm against/biased against a lot of "hard science" grad work, because (maybe outside of a small number of labs/PIs) I think you often just serve as cheap labor that doesn't actually involve a lot intellectual activity (this is a distinct from the other problem a lot of research activity is winning games in academia).
This might be different and not apply to bioinformatics or something exposed to a lot of programming.
I'd offer a slightly different perspective on this point, as a hard science graduate student doing a lot of cheap labor with most of my intellectual activity done on the side.
When you do cheap "non-intellectual" work in a hard science lab, you learn:
I have gotten a ton of value out of both rote lab techniques and the arduous process of troubleshooting methods for a novel experimental design.
Hi Charles, thank you for taking the time to write your reply, you've given me some really valuable advice. Those are some valuable general considerations to keep in mind regardless of which direction I go. I know that in the first lab, the third point is especially relevant as I was told that there is a postdoc that will be providing guidance for me throughout, so that's something for me to be mindful of.
Your fourth point is something I'll give a bit more thought as well, especially because I know the second lab recently did a project monitoring a population to see which pathogens were present, so there's definitely scope for me to shape a project in that area.
I appreciate the final point too, that's something to be careful of and I should try to get a better handle on how much freedom I'll have before I commit. Hopefully, as you say, that's not as generally true for bioinformatics-related projects but I can see there still being a risk of that.
Thanks again!
Hi!
It's great that you are trying to make these kinds of decisions with impact in mind!
I have a comp bio background but more in proteomics and have spent time this year looking at different ways to have a large impact, although my own focus was much more on pandemics preparedness / x-risk.
Probably this problem is underspecified. It's just very hard for anyone at this level of abstraction to make the decision for you. Details like your relationship with the supervisor, other lab members for example could be critical. It does sound like you like the first option but I'd encourage you to test your hypothesis thoroughly (or proportionally to the subsequent time investment).
However, some guiding principles may help:
EffectiveThesis might have some useful content too. https://effectivethesis.org/
Good luck and all the best!
Hi Joseph, thanks so much for sharing your thoughts, it's interesting to hear your own angle from a pandemics preparedness background.
Those are some really useful guiding principles to follow, and I'm going to send an email to a member of the lab to try to get a better understanding of the supervisor's style of supervising and the culture of the lab overall. I really should try to connect with more bio experts, I've had a look on Effective Thesis but I hadn't heard about that consultation service, so I'll look into it. More generally, I will try to seek out more EA-aligned bio experts to chat with, I've found those I've contacted in the past to be very receptive.
Thanks again Joseph and good luck for your own efforts at impact!