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Should You Do a Postdoc in Bioinformatics in 2025?

Honest cost-benefit analysis of postdocs in bioinformatics — salary realities, when it makes sense, when it doesn't, and how to decide.

#postdoc#career#bioinformatics-jobs#phd-career#academic-career

You’re finishing your PhD, and the postdoc feels like the default next step

You’ve spent four to six years on research, you’re publishing, and now the question arrives: postdoc or industry? Your advisor probably assumes you’ll do a postdoc. Your committee might gently suggest it. You see job listings that say “postdoc experience preferred” and wonder if you’re locking yourself out.

But you also know postdoc salaries are low. Your undergrad friends in tech are making three times what you’d earn as a postdoc. You’re tired. And you’re not certain you want to stay in academia anyway.

This post cuts through that fog. I’ll give you the actual numbers, show you when a postdoc genuinely advances your career, and tell you when it’s actually the wrong move. No hedging. By the end, you’ll have a framework to make this decision without regret.

The honest numbers: what a postdoc actually costs

Let’s start with salary. As of 2025, NIH National Research Service Award (NRSA) postdocs start at approximately $56,500 per year, with increments to roughly $62,000 over 2-3 years of a typical postdoctoral fellowship. These numbers set the floor for academic postdocs in the US, since most universities use them as their salary baseline.

If you’re doing a postdoc internationally, the picture is even dimmer. A UK postdoctoral researcher starts around £32,000 (roughly $40,000 USD), and many countries offer significantly less.

Now compare that to industry. A computational scientist or bioinformatics analyst role at a biotech company or pharmaceutical firm typically starts at $85,000-$110,000 with a PhD. Senior roles start higher. That’s before bonus, stock, or benefits.

Do the math over four years:

Industry (4 years)Postdoc (3 years)Difference
Total salary~$360,000-$440,000~$180,000-$195,000-$165,000 to -$260,000
Starting year$90,000-$110,000$56,500-$33,500-$53,500

The gap is real. A three-year postdoc costs you $165,000 to $260,000 in direct income compared to an entry-level industry role. Add in the psychological cost of deferred stability and the opportunity cost of not building industry networks, and the postdoc needs a very good reason to make sense.

Many PhD students treat the postdoc as inevitable. It’s not. It’s a specific career move that makes sense in specific situations and is actively harmful in others.

When a postdoc actually advances your career

1. You have a clear target (faculty, named fellowship, or specific research program)

If you know you want a tenure-track position at an R1 institution, or you’re pursuing a K99/R00 award, or a named fellowship like a Marie Curie Individual Fellowship, a postdoc may be necessary. These paths are still largely structured around the postdoc → faculty pipeline. The data here is real: faculty hiring committees expect to see postdoctoral experience on your CV.

Even here, it’s conditional. You need a postdoc with a mentor who has placed postdocs into faculty positions. You need a mentor with active funding and collaborative reach. A postdoc in a quiet lab with a mentor who hasn’t placed someone in five years will do you no good.

2. Your PhD publications need one more round to crystallize

If you’re close to authoring or submitting 2-3 high-impact papers, but they won’t be out until you’re a year into your postdoc, a postdoc gives you time for the publication narrative to mature. A postdoc in the right context lets you co-author follow-up work in your PhD field, building publication velocity into your independent researcher profile.

This is more defensible than “I’m doing a postdoc because my advisor said so.” You have a concrete deliverable.

3. You want to change fields, and you need the credential in the new area

If you did a wet lab PhD but want to move into computational genomics, or you did pure bioinformatics but want wet lab skills, a postdoc in the new field is one way to build that credential. That said, it’s not the only way—many industry teams will hire someone transitioning fields if you can show relevant coursework, projects, or GitHub contributions.

But if the field change is dramatic enough that you genuinely need another 2-3 years to become fluent, a postdoc is defensible. Just make sure you’re comparing it to other options (PharmD, MPH, industry rotations, etc.) with the same honesty.

4. You have a named fellowship opportunity (K99/R00, Marie Curie, Leverhulme, etc.)

Named fellowships are different animals. They come with salary top-ups, research funding, and prestige. A K99/R00 award specifically structures your postdoc as a bridge to independence. If you can get one of these, the cost-benefit shifts. You’re not on the standard NRSA track; you’re in a protected pipeline.

These are genuinely rare and competitive, but if you have one, take it.

When a postdoc probably doesn’t make sense

1. You want to go to industry

This is the biggest one. Industry hiring for computational roles cares about what you can do now, not whether you have postdoc experience. In fact, postdoc experience can signal the opposite of what you intend: it signals you’re on the academic track, not ready to ship product, and potentially overqualified for senior individual contributor roles.

The hiring manager wants to know: Can you run a pipeline? Build a tool? Analyze data under deadlines? Collaborate with wet lab teams? PhD + relevant projects demonstrates all of that. Postdoc doesn’t.

An extra 2-3 years in academia is an opportunity cost you can’t get back. You’d be better off spending that time building industry experience, learning your company’s stack, and building internal networks.

2. You’re doing it because you don’t know what else to do

This is the most common bad reason, and I hear it constantly. “Well, I’ll just do a postdoc while I figure things out.” That’s borrowed time at someone else’s expense. A postdoc is a research position, not a holding pattern. If you take it, you’re committing to someone’s research agenda and borrowing their funding.

If you’re genuinely uncertain about your career direction, you have better options: take a senior research scientist role at a biotech company (you can jump to faculty later if you want), do a industry rotation through a pharma early-career program, or freelance data analysis. Any of these give you breathing room and income without the postdoc trap.

3. You’re in a lab without strong publication output or mentorship

This is the killer. A postdoc only advances your career if the mentor is active, well-funded, and well-connected. If your prospective postdoc mentor has had a quiet five years, few collaborations, and minimal recent publications, a postdoc there is treading water.

Check the mentor’s last 24 months of publications. Are they publishing? Where? Are they placing postdocs into good positions? Ask for names and outcomes. A mentor who can’t or won’t answer these questions is a red flag.

4. The salary gap versus industry is 2-3x over the same period

This is the math that kills it. If you’re looking at $56,500 as a postdoc versus $95,000 as a computational scientist, and you don’t have a specific, defensible reason for the postdoc, the income difference compounds across a career. In year 3 of the postdoc, your industry peer is earning more than you’ve earned total.

You can’t reclaim those years. Even if you move to industry later, you’re starting from a lower salary baseline with fewer industry years under your belt.

Alternative paths (and why they might be better)

If you’re not doing a postdoc, what are you actually doing? Here are the real options available to you as a PhD in bioinformatics right now.

Senior Research Scientist / Computational Scientist roles in biotech and pharma

These are the middle tier between postdoc and mid-career researcher. Companies like Ginkgo Bioworks, Synthego, Recursion, and dozens of smaller biotechs hire PhD computational scientists in roles that combine independent projects with collaborative team science. Salary starts at $85k-$110k, sometimes higher.

You get to own a project, publish (often, depending on the company), and work on real science. You’re not a pure software engineer; you’re doing analysis and method development. These roles are genuinely scarce compared to postdocs, but they exist, and they’re worth the job search effort.

Government and mission-driven research labs

The NIH Intramural Research Program, the Wellcome Sanger Institute, EMBL, and similar institutions hire senior research scientists (often called “Research Scientists” or “Investigators”) who do independent research without the academic funding burden. These roles often come with better salaries than postdocs and more job security.

If you’re interested in cancer genomics, computational biology, or systems approaches, these labs often have open positions. The job market is smaller, but the positions are real.

Industry data science (stepping stone if you’re uncertain about domain)

If you’re worried about losing yourself to pure software engineering, consider a data science role at a company doing bioinformatics-adjacent work (health tech, diagnostics, digital health). You’ll learn product, engineering rigor, and cross-functional collaboration. After 2-3 years, you can either move to a more specialized bioinformatics role or stay in the product world.

This isn’t academia, but it keeps you in the computational biology neighborhood while building skills a postdoc won’t give you.

Tenure-track positions (yes, some hire at the PhD level)

Some smaller institutions hire directly at the assistant professor level for someone with a strong PhD record. These are mostly teaching-focused or PUI (primarily undergraduate institution) roles, but if you’re interested in building a research program with students, you can skip the postdoc entirely.

Check the job market for your specific institution type. Some will hire PhDs; others require a postdoc. But some don’t, and those slots are worth pursuing if they fit your goals.

How to evaluate a postdoc offer (if you’re still considering it)

If you’ve decided a postdoc makes sense for your specific situation, how do you know whether the offer you’re looking at is a good one or a trap?

Ask these questions before saying yes:

  1. Where has this mentor placed postdocs in the last 5 years? Get names, outcomes (faculty, industry, government, non-research). If the mentor hasn’t placed someone into a senior role in five years, that’s a signal.

  2. What’s the publication trajectory of the lab? Not just how many papers, but how fast? A lab that publishes once a year is different from one that publishes once every three years. How many papers have postdocs co-authored in the last two years?

  3. Will the research be your own project or support work? There’s a massive difference between running your own project and being a senior technician. If the postdoc is 80% supporting the PI’s grant and 20% your own work, the career value is lower.

  4. What’s the funding situation? A well-funded lab with an active grant is different from one living project-to-project. Ask about the PI’s grant timeline and pending submissions.

  5. Do you have a written timeline and milestones? A good postdoc offer includes expectations: “You’ll lead X project, we expect publication by month 18, and we’ll start applications for your next position by year 2.5.” Vague offers are traps.

  6. Are there postdoc mentors or “postdoc ombudspersons” at the institution? Some universities have formal support structures. Some don’t. This matters.

Common postdoc mistakes

Serial postdocking (postdoc after postdoc)

The worst outcome is the slow drift. You do one postdoc, and at the end, you’re not quite ready for faculty. So you do another. And another. Five years later, you’re a professional postdoc with stagnant salary, no independence, and no one hiring you for a faculty role because you’ve been in postdoc purgatory too long.

Set an expiration date for your postdoc before you accept. Know what you’re trying to achieve in those 2-3 years. If you don’t hit it, move on.

Choosing prestige over mentorship

The lab is famous. The PI is well-known. The institution is prestigious. But the PI hasn’t placed a postdoc into a good position in years, or mentorship is hands-off and you’ll be invisible.

Prestige is worth almost nothing compared to a mentor who actively places people and builds your network. Go for the postdoc with the supportive mentor at a decent-but-not-famous institution over the prestigious lab where you’ll be another body.

Not negotiating your salary or title

Postdoc salaries are often set by NIH scales, which seems non-negotiable. But many labs have some flexibility. Some institutions give additional salary top-ups. Some can negotiate the title (Research Scientist vs. Postdoc) to signal seniority.

Ask. The worst they’ll say is no.

The bottom line

If you want to go deeper on the mechanics of building a scientific career before making this decision, Peter Feibelman’s A PhD Is Not Enough! is the most practical book available on the subject. It covers choosing advisors, building a research identity, and positioning yourself for the next step — written by a physicist but applicable to any STEM career. Worth reading before you sign any postdoc offer.

Here’s the framework for deciding:

Do a postdoc if:

  • You have a specific, named goal (faculty pipeline, K99/R00, field change with clear timeline)
  • You have a mentor with a track record of placing postdocs into those outcomes
  • You’ve done the math and accept the opportunity cost
  • You’re not doing it as a default

Don’t do a postdoc if:

  • You’re aiming for industry, unless you have a very specific research lab role you can’t access otherwise
  • You’re doing it because you’re unsure what else to do (that’s not a reason)
  • The lab’s mentor is not active, funded, or collaborative
  • You’re sacrificing $150,000-$250,000 in income for no specific reason

The postdoc myth is that it’s a necessary step. It’s not. It’s one option among many, and for bioinformaticians in 2025, it’s often the wrong one.

The job market rewards competence, publications, and specific skills over credentials. You can get all three without a postdoc. Don’t default into one because it feels safer or more “academic.” Make the choice intentionally.