Being a scientist is genuinely hard, and not just intellectually. The path demands a decade or more of advanced training, financial sacrifice, fierce competition for limited positions, and a tolerance for failure that most careers never require. The difficulty is real and measurable, which is why it’s worth understanding exactly what makes it hard before committing to the path.
The Training Takes a Long Time
After a four-year undergraduate degree, most research scientists need a PhD, which takes five to six years in the basic sciences. That’s a decade of higher education before you even start your independent career. Many PhD graduates then complete one or more postdoctoral fellowships, typically lasting two to four years each, to build enough expertise and publications to compete for permanent positions.
During those postdoc years, you’re a fully trained researcher with a doctoral degree, but your minimum salary from NIH-funded positions is $61,008. That figure was recently increased and is still widely considered low compared to what someone with equivalent education earns in other fields. Meanwhile, peers who entered industry after college or a master’s degree have been building savings and career seniority for years.
The Work Hours Add Up
Scientists in academia work considerably more than a standard 40-hour week. Professors average about 61 hours per week, a figure that reflects the reality of juggling research, teaching, mentoring, grant writing, and administrative duties simultaneously. Early-career researchers, especially graduate students and postdocs, often work similar or longer hours to keep experiments running and meet publication deadlines.
Industry scientists typically follow a more structured nine-to-five schedule, Monday through Friday. That’s one reason some researchers eventually leave academia for pharmaceutical, biotech, or tech companies. But even in industry, project deadlines and the pace of discovery can push hours well beyond the norm.
Most Experiments Don’t Work
This is the part of science that surprises people most. Failure isn’t an occasional setback. It’s the default state. Published scientific findings can only be reproduced 11 to 45 percent of the time, depending on the field. When the pharmaceutical company Amgen tried to replicate 53 landmark cancer studies, only 11 percent held up. Bayer ran a similar effort and couldn’t reproduce 65 percent of the biomedical findings they tested.
More than 70 percent of researchers in a Nature survey reported failing to reproduce other scientists’ published experiments. Over 50 percent said they couldn’t even reproduce their own previous results. And 90 percent of those 1,500 respondents acknowledged that science has a reproducibility crisis.
What this means on a daily level is that your experiments will fail far more often than they succeed. You might spend months optimizing a technique or testing a hypothesis only to find it doesn’t pan out. The ability to treat failure as information rather than defeat is perhaps the most important trait a scientist can have, and it’s genuinely difficult to sustain over years.
Funding Is Fiercely Competitive
Running a research lab requires money, and getting it is one of the hardest parts of being a scientist. In 2024, only 19 percent of competing applications for NIH research project grants were funded. That means roughly four out of five grant proposals, each representing weeks or months of writing, are rejected. For new, untargeted research proposals, the success rate drops to about 17 percent.
Writing a competitive grant is a skill unto itself, requiring you to articulate a clear scientific question, justify your methods, show preliminary data, and convince a review panel that your work is both important and feasible. Scientists spend a significant portion of their working hours writing and revising grants rather than doing actual research. The pressure to maintain funding is constant, since losing a grant can mean laying off lab staff and pausing entire research programs.
Permanent Positions Are Scarce
The academic job market is one of the most competitive in any profession. In engineering, for example, the average professor produces 7.8 PhD graduates over the course of a career, but only one of those graduates can replace that single faculty position. That means roughly 12.8 percent of PhD holders in engineering can land an academic job, assuming the number of positions stays constant. In many sciences, the ratio is similar or worse.
This creates a bottleneck where highly trained researchers spend years in temporary postdoc positions, hoping for a tenure-track opening that may never come. Many talented scientists ultimately leave academia not because they lacked ability but because the math simply doesn’t work. The ones who do land faculty positions often did so after relocating multiple times, sometimes across countries, to follow the available opportunities.
The Mental Health Toll Is Significant
The combination of long hours, constant rejection, financial strain, and career uncertainty takes a measurable toll. Graduate students are more than six times as likely to experience depression and anxiety compared to the general population. Among graduate students specifically, 41 percent show signs of anxiety and 39 percent show moderate to severe depression.
These aren’t just numbers. They reflect real people spending their late twenties and early thirties in high-pressure environments with low pay, uncertain futures, and a culture that often treats overwork as a badge of honor. Isolation is common too, since deep specialization means fewer and fewer people understand what you’re working on or why it matters.
The Technical Bar Keeps Rising
Modern science increasingly demands skills that weren’t part of traditional training. A biologist today may need programming ability, statistical modeling, machine learning expertise, and fluency with massive datasets on top of deep knowledge of their actual field. Disciplines like computational biology now span computer science, statistics, genomics, imaging, algorithm development, and clinical informatics, all as distinct specialties that researchers are expected to bridge.
This means scientists are perpetual students in a practical sense. The tools and techniques evolve so quickly that staying current requires continuous learning throughout your career. A researcher who was trained in bench-top laboratory work a decade ago may now need to learn deep learning methods to remain competitive. The intellectual challenge is part of what draws people to science, but the sheer volume of knowledge required can feel overwhelming.
Why People Do It Anyway
Despite all of this, millions of people pursue science and find it deeply rewarding. The appeal is real: you get to ask questions nobody has answered before, and occasionally you find something that changes how humanity understands the world. The autonomy to choose your own research direction (at least in academia), the satisfaction of solving genuinely difficult problems, and the sense of contributing to something larger than yourself are powerful motivators that keep people in the field even when the practical challenges are steep.
Being a scientist is hard in ways that are different from most careers. It’s not just intellectually demanding, though it certainly is. It’s emotionally demanding because of the constant failure, financially demanding because of the long training at low pay, and professionally demanding because the competition for jobs and funding never lets up. The people who thrive tend to be those who find the work itself so compelling that the difficulty becomes tolerable, not those who assumed it would get easier after the next milestone.