Becoming a new professor is exciting. You are at last the captain of your own research. You pick who you want to work with, what you want to work on. You come into the lab in the morning, and there are grad students and postdocs and undergrads all plugging away on things that excite you. It's a real thrill.
But, it is also an intensely stressful time. Speaking for myself, my first year or two there were definitely days and weeks I felt so overwhelmed I just wasn't sure I'd manage. Its not something one often says openly, but yes there were times I felt depressed, there were times I cried. It's rough, and tiring, and stressful.
To me, there's no question that the benefits exceeded the costs, even in that first year or two. And as time went on and I grew in confidence, the benefits only grew and the costs mostly declined. Today, I can honestly say that I love my job, even though yes there are absolutely still times when I just need to walk away and take a break. And times when I feel I can't take a break, but need one. But this led me to reflect on what might have been different, to make those first years more pleasant and manageable. I think one element just isn't fixable: with experience comes confidence, and efficiency. You learn how to do things, to trust yourself, and to make decisions faster with that greater confidence. That saves time and reduces stress. But, there were many many other things that I think could have been far easier had I just had a bit more warning or training in advance.
Today's blog post is devoted to those things that I wished I had known. A few months ago I posed this question on twitter, and so the following actually reflects not just my own experience, but the responses from many other people who replied at the time. What follows is a non-exhaustive list of some of the things we wished we had known, to make the transition easier. These are offered not to scare or deter, but with the view that being forewarned is the surest key to being prepared, and thus being able to manage the new job. Also, keep in mind reading this that as much as there's weird BS we need to put up with in academia, other career paths for highly educated folk can be at least as aggravating (talk to your friends who are physicians about paper work, or your lawyer friends about their workload and email inbox and meetings. The list is presented as bullet points taken from the twitter responses, anonymized and sometimes (but not always) rephrased, some with additional commentary from me. I also drew on responses to a related thread
* Be really really really nice to the office staff, they are your most important allies in the whole place.
* Your university hired you because they are impressed with you and like what you do, and how much you've done. Just keep doing that and you are on the right path. They don't hire people who they expect to fail, the hire people who are already on a trajectory to meet tenure expectations. You've got this.
* You wanted this job. Remind yourself of that each time you feel stressed out.
* Admit to mistakes. When you mess up, own it, apologize, and fix it. You'll gain more respect for dealing with mistakes head on, than you'll lose from making them.
* Following on the previous point: When your students make mistakes, don't punish, just teach them the previous philosophy: admit, fix, and move on.
*Update your CV continuously as you do new things, so you don't forget
* Luck plays a big role in success.
* Be prepared for setbacks - experiments fail, a freezer dies, your course lecture goes off the rails, a grant is rejected or paper declined with unnecessarily nasty reviewer comments. Lousy things happen. That's true in any career. Take a deep breath, move on. I often set aside reviews, unread, until I'm psychologically over the initial disappointment and can read the comments more dispassionately.
* Learn new things
* There will always be someone who is more successful than you at some thing you'd like to succeed at. Its normal and okay.
* That impostor's syndrome you keep feeling? Remind yourself that (a) pretty much everyone who isn't a pathological narcissist feels it, and (b) at least you aren't some famous person who got that way by fabricating data.
* The university does not "care" about you. This is an employer-employee relationship that is purely transactional and somewhat exploitative. One respondent said, if it has to be exploitative, at least make it mutually exploitative.
* You really really CAN say "NO" to things.
* REALLY understanding that tenure is about *demonstrating* your value to the University in terms of revenue (grants), quantifiable prestige (papers), and sustainable business plan (getting support for students). Spend 90% of your time on this
* An old policy I learned from camping: Leave the place better than you found it when you arrived.
* Most of your research is done by people, not stuff, so budget accordingly. No point generating $100,000 in sequence data if nobody is around to analyze it and write (you won't have time).
* Apply for the award / grant / job even if it seems like a stretch. Do the same for your trainees - nominate them for things.
* Budgeting. "OMG budgeting" (PS - if someone wants to write a guest post on the brilliant solution they've found for multi-grant budgeting and monitoring expenses, let me know!). (Note added after: @tera_levin responded that spendlab.org is amazing. "Easy to project forward to when grants run out, when to move trainees to different grants, and even internalize your burn rate and plan future grant needs"
* The difficulty in spending money the way you planned & budgeted to. Writing extensive justifications for why I bought 10,000 empty tea bags (to put fish in, of course), because someone in the accounting office figured this was a misuse of funds.
* Travel expenses take forever to get reimbursed. Personally I had nearly $13,000 in expenses I paid out of pocket and had to get reimbursed and it took nearly 9 months, partly because a hobgoblin in accounting figured I should have rented a economy sedan car (for field work with 5 people for 2 weeks) rather than an SUV or pickup.
* I have to pay for hand soap and paper towels? Unexpected expenses are everywhere
* The university overheads can be an obscenely large slice of your budget.
* Lab supply vendors have discounts for new PIs. Use them.
* Apply for new grants before your current one(s) are done.
* How to navigate Institutional Animal Use and Care approvals at any new institution. Who's the vet, what are the forms & other rules. I have had to re-learn this at each institution, each of which has different expectations and forms.
* When I started at University of ____, there were a ton of biosafety and lab safety classes to take, but no exhaustive simple list aimed at faculty in my department, so one had to learn by either taking lots of time to locate the required classes, or by being reprimanded for not having completed something
* Each institution has its own unique expectations for chemical inventories.
* How hard it can be to purchase. For my favorite example involving two shipping pallets of pipettes, see this tweet.
* How do I get furniture for my office?
* Ordering atypical equipment: I budgeted for a field vehicle in my start-up. Four years later the university still can't figure out whether I'm allowed to purchase a vehicle, and start-up is almost expired (despite extension).
* What's up with people referring to every class with some arcane number instead of a subject name. "You've been asked to teach BIO 3286b 3/4... can you do it next semester?" Heck, thirteen years into my first faculty job I still didn't know the number for my own course.
* The lag between asking for permission to do a project (grant funding, IACUC permission, collecting permits), and actually being allowed to start - can take months to years.
* The nightmare of shipping biological material, particularly between countries.
* So much of the university administration is geared towards not getting sued / passing audits, rather than actually enabling teaching or research.
* "Nothing could have prepared me for cost share agreements, constantly changing fringe/mileage/tuition. Nothing"
* A general response was, how long it takes to do anything (ordering, hiring, new training).
* WTF is up with people's obsession with parliamentary procedure and Roberts Rules of Order?
* Everything I buy must be tax exempt, but every supplier has a different university phone number or in-store code they want you to provide to prove tax exemption. No employees of any of these places seem to know the number. Would be nice to give new faculty a spreadsheet of them
* "Also, at some point I adapted the strategy of “don’t ask for permission, ask for forgiveness” just to get shit done and not be held up by stupid rules that are either useless or not communicated."
* The annual progress reports. At my previous institution we needed to generate three different annual reports each year (each for a different admin level, each on a different form).
* Leave time for yourself to write, do lab work, get exercise.
* Your spouse and kids need you more than your students do.
* Following on the prior, this is a job, not your entire lifestyle. Treat it accordingly.
* Service activities count very little towards tenure. Do some. But as little as you can manage, and make them the fun ones.
* Don't do every seminar invitation and conference that you are invited to. It'll quickly grow to be too much. There's an optimal ratio of doing science versus telling others about it, and too much of the latter can be tempting, but start to undermine you.
* Triage - not everything is equally important.
* Block off time in your calendar for you to work uninterrupted on a paper, grant, class, etc.
* The sheer number of meetings: faculty meetings, department and university service committees, dissertation meetings, meetings with collaborators, meetings with students, meetings with undergrads.
* The number of emails per day
* The ratchet of expectations, that keep getting added on as you get accustomed to doing the previous round of expectations.
* Often, scheduling a half hour meeting once a week with a trainee is just fine. Adjust depending on the balance of your needs, and those of individuals. It is okay to meet with some more often than others depending on their career stage (e.g., writing dissertation) or psychological needs.
* Budget time to answer emails, ignore it other times.
* Review manuscripts for journals. Get them in on time, do a thorough job. Do enough of these to pay back for the reviews you get (e.g., 2-3 reviews per paper you submit).
* Don't let your lab get too big too fast, before you know how to supervise.
* Good trainees are key. When hiring, watch out for red flags when interviewing, especially whether they work well with others, and can take risks and finish projects, and can they write. And most of all, are they honest? The very top classroom students as undergrads may get paralyzed by uncertainty and risk in the lab, so don't focus just on their grades.
* No assholes in the lab
* A bigger team is not always better. But, also know that the work you devote to mentoring may not increase linearly with group size. As your group grows, there's more lateral mentoring that happens among your trainees, as they learn from and support each other.
* Train your people in good data management and code annotation, it is as crucial as good experimental design.
* Assemble a list of readings for your lab members to have a shared baseline of core literature familiarity
* Be kind to the people who work with you - buy their lunch on occasion, you make more than they do.
* The big jump from going from interacting with peers, to interacting with people I supervise
* "I didn't expect to be a therapist for my students. The lines between mentorship/advising vs therapy are blurry when students desperately need someone to talk to". Someone else wrote "I'm totally not equipped to help the ones who need long term psychiatric care /meds", and I'll say this has come up multiple times in my own lab and after 17 years as a prof I still am struggling with helping. I'm not a psychiatrist.
* You are asked to articulate a mentoring style, but the fact is every student is unique in their needs and personalities, so you need to create a unique mentoring style for each student to be effective.
* Your students are your colleagues and collaborators, and will be for life if you treat and train them well. They are not your slaves, nor are they your kids.
* Set a culture in the lab where no one feels like they work FOR you but instead they feel like they work WITH you. It may sound subtle but it is so important!
* Clearly communicate expectations with your lab members about their training goals, behavior, etc. A lab culture document is a good idea.
* If you are to be a senior co-author on a paper, you are vouching for the work. Can you confirm it was done, the person knew what they were doing, and that the data is true, and the analyses done as described? Look at the data, look at the code, and be
* Don't be the weak link in the chain. If a student sends me a manuscript, it'll take me a day of work to get them comments on it. That day could be this week, or weeks from now, but takes the same amount of time whether I do it now or wait. If I wait, I'm slowing down my student's progress. Therefore, better to do it now.
* Have individual meetings and group meetings. In group meetings, don't just talk about research, also set aside time regularly to talk about ethics, data management, publishing, academic culture, job tracks, etc.
* Work on Individual Development Plans with your trainees
* For research, have a diversified portfolio: bread-and-butter projects that are guaranteed to yield basic publications, and some high-risk high-potential-reward projects.
* Pick at least one topic that you are going to be the go-to-person on, in your department or more broadly. This could be a skill set or subject area knowledge where people need help. This defines your intellectual niche, but also makes you indispensable to your colleagues who need your expertise to help their own group forward. Then they've got to tenure you out of self-interest.
* Arrive with a box of data to analyze and publish, so you can still be publishing data (e.g., from your postdoc) while you start new projects. The new lab projects can take years to hit the journals.
* Develop a library of lab protocols (your own, or others') using tools like protocols.io
* Archive your data (DataDryad.org for instance)
* The importance of remaining doing some bench work and/or field work. (it's why they hired you...)
* "I truly did not understand how little of the actual science in the field and lab I'd be doing. It was hard to let that go, to delegate and empower others while I did science admin & other stuff I wasn't trained to do"
* Share your toys
* Back up all lab data in redundant places, cloud and hard copy, and make sure your trainees do too. Make sure your students give you access to their data so you can check their data and their code, and finish projects if they leave things incomplete (some will!).
* If you do field work, make sure some people in the field have good first aid training. Bad things happen.
* You are faculty now. You really can speak in faculty meeting.
* Find collaborators who are good people first, good scientists second. Trust is key, so work with people who you enjoy and can rely on.
* Politics, often arising from jealousy over differences in output, grant resources, teaching loads, etc
* Doesn't anyone know how to properly use (or avoid) reply-all during email exchanges?
* Invite departmental seminar speakers. Choose some peers to generate collaborative networks, but importantly choose some senior people who will write tenure letters for you.
* Go to conferences and present to get your name out there. Be sure your students do too - to get their own names, and yours, out where people know what you are doing.
* Consciously build a network of mentors and peers, within your field (not at your university),and within your department.
* Try collaborating with someone in another department/discipline on something. It's eye opening and leads exciting directions.
* Call the program officer to discuss grant proposal plans, and to discuss grant reviews you received. Really, they don't mind. Get to know them at conferences.
* Pick a topic to teach that you'd like to learn more about, it forces you to take the time to learn. I did this for stats with R, then Bayesian stats, then Network Stats.
* "Having trained mostly at med schools, was hilariously not ready for amount of time that goes into prepping/teaching an undergrad class. Ultimately a rewarding experience and easier after the first yr, but an surprisingly huge responsibility on top of setting up the lab!" - To this lovely quote, I'll add that this isn't unique to med school training backgrounds. I usually budget 1-2 days (that's FULL days) per 1.5 hour lecture to prepare. At a minimum. When I've said this on twitter I've received some pushback and abuse from people who didn't believe me, but who later admitted they reached the same confusion.
* Mid-career moves between universities are slow, and super-hard. Moving freezers is a nightmare. Fish get lost by fed-ex. Have to redo all your training (IACUC, safety, chemical, biological, how-not-to-sexuall-harass, don't-be-racist)... all of it is unique to each school and yet so repetitive. Universities don't give you credit for having done the same thing elsewhere. And then there's the shock of having to rebudget every grant you transfer - budget, budget justification, and more, takes a ton of time.
* How do I get a website set up? Can anyone advise me? Anyone? This, and so many other things, seem expected but not explained.
* I've been at my institution for three years and I'm still not on the right listserv lists that I should be
* A good coffee machine is key
* Get copies of people's grant proposals, fellowship applications, award applications, to have examples for you or your lab members.
Last, but not least:
* There are many paths to success, pick the one that feels most authentic to yourself.
* Anyone's advice is suspect. Just because it worked for them at their school doesn't mean it will work for you at yours. Conversely, others' horror stories may not apply to you.
For other advice on starting a lab see: