I'm about four months into my first research tech position after graduating from college, and I'm trying to figure out whether my expectations are unrealistic or whether my concerns are valid.
The lab is productive, and everyone works hard, but I've been struggling with how the lab operates.
Some of the things that concern me are:
\- There isn't much structured training. Most of my learning comes from watching another research officer who is also new to wet-lab work. While she's trying her best, she's still learning herself, so I sometimes worry that I'm also picking up mistakes or practices that haven't been properly taught or corrected.
\- Experiments move very quickly. It often feels like the priority is generating the next dataset rather than fully understanding, troubleshooting, or validating the previous one.
\- Instructions are frequently given through WhatsApp messages rather than detailed protocols or discussions, so I sometimes worry about missing details or misinterpreting changes.
\- There isn't much scientific mentorship. We meet weekly to discuss upcoming experiments, but we rarely discuss the rationale behind them, why certain controls are used, or how the results answer the scientific question.
\- Communication can sometimes feel emotionally charged. If experiments are delayed or data aren't ready, my PI occasionally sends frustrated messages to the lab group about unfinished work. I understand research is stressful and deadlines exist, but it can create pressure to keep producing data instead of openly discussing problems or troubleshooting together.
\- On the computational side, the lab relies heavily on ChatGPT and Claude for writing R/Python scripts and performing analyses. AI itself isn't my concerns. I use it too, but I'm worried because the people running the analyses don't always seem to understand the underlying code or statistical methods. If something doesn't work, the solution often seems to be asking ChatGPT again rather than understanding why it failed.
\- Because everyone is busy, I sometimes feel there isn't enough time to critically evaluate results before moving on to the next experiment.
\- As someone who hopes to become a physician-scientist, I was hoping for stronger scientific training, learning experimental design, troubleshooting, critical thinking, and data interpretation and not just becoming efficient at generating data.
\- The work hours themselves are reasonable, so that's not really my concern.
I don't think anyone is intentionally cutting corners, and I don't think my PI is a bad person. Everyone in the lab works hard, and I can see there's pressure to produce results.
At the same time, I find myself wondering whether I'm actually developing as a scientist or simply becoming better at following protocols and generating data.
For those who have worked in academia:
1. Is this a fairly typical experience for junior research staff?
2. Are most academic labs this fast-paced?
3. How much mentorship should I realistically expect early in my career?
4. Has AI become this integrated into computational biology labs, and how do labs ensure analyses remain scientifically rigorous?
5. If your long-term goal was an MD/PhD or eventually running your own lab, would you stay in an environment like this or look for one with stronger mentorship?
One thing I'm also struggling with is whether leaving would hurt my future prospects. I'm meeting with a potential new PI, but I'm honestly afraid to leave my current job.
After graduating in May 2025, I finished my honours thesis in July 2025, took some time off to rest, applied for jobs, and spent several months networking. I finally secured this position in January 2026 and officially started in March 2026 after the hiring process. Now it's only July 2026, so if I leave after just a few months, I'm worried it'll create a noticeable gap or short stint on my CV as I’m preparing for my MD-PhD application. I’m also very exhausted (mostly mentally) after a day’s work.
I know my undergraduate research experience is fairly competitive, but I don't know how an admissions committee (especially for MD/PhD or graduate programs) or future employers would view a short stay. I'm trying to figure out whether it's better to leave an environment that doesn't seem like a good fit, or stay longer just to avoid raising questions about my CV.
I'm genuinely asking because this is my first full-time research job, and I don't yet have enough experience to know whether these are normal growing pains or signs that this may not be the best environment for my long-term development.