Career Options in the Life Sciences: Guide Research for Your Path Beyond Academia

From Lab Bench to Real Options: Owning Your PhD Career Beyond the Professorship Myth

Stefano Gaburro, PhD, CCC

Scientific Director @ Tecniplast | Neuropharmacology PhD | 1st Cialdini Certified Professional in Germany and Italy | Keynote Speaker

December 22, 2025

Very few PhD graduates will ever become full professors, and understanding this early is one of the most empowering shifts you can make in your career thinking.[1] When I wrote the introduction to Career Options in the Life Sciences: Guide Research for Your Path Beyond Academia, this was exactly the point I wanted to make clear: the system is not designed so that “most” of you end up as professors.[2]

How Many Actually Become Professors?

When I started digging into the data for my book, I was struck by how far reality is from the story many of us were told as PhD students.[3] Several large analyses and reports converge on the same uncomfortable pattern: only a small minority of PhDs will ever hold a professorship.

- A famous flow diagram from a Royal Society–related analysis shows that roughly 0.45% of science PhD graduates eventually become full professors, and only a few percent secure long‑term academic research posts at all.[4]

- Other estimates, depending on country and discipline, typically fall somewhere between 3–10% of PhDs eventually becoming professors, often after many years of temporary contracts and postdocs.[5]

- In many STEM fields, only about 10–20% of postdocs manage to transition into tenure‑track or permanent faculty positions, even after very strong publication records.[6]

When you put these numbers next to the expectations many students carry into their PhD, you can see the problem: the “default” career story simply does not match how the system actually behaves.[7]

Why This Is Not About You (But About The System)

Early in my own career, I also believed that if you worked hard, published enough, and “wanted it badly,” a professorship would somehow materialize at the end of the tunnel.[7] Over time, through supervising students, talking to hiring committees, and reading the data, it became obvious that the bottleneck is structural, not personal.

Here is what I mean by that:

- One professor can supervise many PhD students and postdocs, but only one professor is needed to replace them when they retire; mathematically, the system cannot turn most PhDs into professors.[8]

- Universities have expanded PhD programs much faster than they have created stable positions, so there is a chronic oversupply of highly trained researchers competing for a relatively fixed pool of academic jobs.[3]

- Hiring is highly concentrated: analyses of faculty networks show that a small group of elite universities trains a large fraction of professors, creating a prestige bottleneck that is difficult to overcome no matter how good you are.[9]

Understanding this changed how I talk to PhDs and postdocs: if you do not become a professor, that is not an individual failure; it is the statistically expected outcome of a system that produces far more candidates than positions.[1]

How This Realization Shaped My Book

In the introduction of Career Options in the Life Sciences, I start from this uncomfortable truth: most of you will not become professors, and that is okay [2]. The real risk is not “failing” to get a chair; the real risk is spending 10–15 years optimizing for a single, low‑probability outcome while ignoring dozens of other paths where you could thrive.

When I wrote the book with Eric Rieux, I had three concrete goals for you as a reader.[10]

- Help you see the full landscape of careers in life sciences: pharma, biotech, CROs, med‑tech, regulatory agencies, data science, consulting, science communication, and more.[11]

- Show you how to translate your academic skills into language and value that industry, regulators, and other sectors recognize: project management, stakeholder communication, quality and compliance, quantitative analysis.[12]

- Give you practical tools (questions, exercises, examples) to research your options, test hypotheses about roles, and make an evidence‑based transition instead of drifting until a contract ends.[13]

The message of the introduction can be summarized in one line: if only a minority will become professors, then training and mentoring must be designed from the start to support strong outcomes both inside and outside academia.[3]

If The Odds Are Low, What Should You Do?

Let me speak directly to you as if we were sitting in my office after a lab meeting. You are talented, you are committed, and you have already invested years into this path. What can you do now, given these numbers?

1. Redefine What “Success” Means For You

If your only definition of success is “professor,” you have set yourself up to judge 90–95% of possible outcomes as failure.[5] That is neither fair nor rational.

Ask yourself:

- What kind of problemsdo you want to work on (disease areas, technologies, methods)?

- What kind of constraintsare you willing to accept (mobility, long hours, funding pressure, job security)?

- What level of impact and stabilitydo you need in the next 5–10 years of your life?

Many people discover that their ideal mix of science, autonomy, location, salary, and stability actually fits better in industry, regulation, or hybrid roles than in a classic professorship.[12]

2. Make Career Exploration Part Of Your Research Project

Treat career exploration like you treat an experiment: you gather data, test hypotheses, and iterate.[13]

Concrete actions you can start this month:

- Talk to three people outside academia whose roles sound even remotely interesting to you (e.g., MSLs, clinical project managers, regulatory experts, data scientists). Ask them how they got there, what they actually do, and what they wish they had known earlier.[14]

- Audit your own CV and convert your tasks into competencies: instead of “I worked with mouse models,” write down what that means—planning complex studies, complying with regulations, coordinating teams, troubleshooting, analyzing high‑dimensional data.[7]

- Identify one skill gap that shows up repeatedly in job ads you find attractive (for example, regulatory affairs, programming, data visualization, or project management), and commit to a course or project that directly targets that gap.[13]

This is exactly the type of structured “guide research” approach I promote in the book: you systematically collect information on careers in the life sciences instead of relying on hearsay or fear.[10]

3. Build Optionality Instead Of A Single Track

One of the biggest mistakes I see is the “all‑in” academic bet: everything is optimized for the hope of a faculty job, and nothing is invested in alternative options.[15] Given the probabilities, this is like putting your entire retirement savings into one volatile stock.

Instead, you can:

- Continue to build a strong academic profile while simultaneously building assets that are legible outside academia (industry collaborations, internships, side projects, certificates, networking).[12]

- Make sure every year of your PhD or postdoc increases your option value in at least two or three future directions, not just one.[13]

- Use your thesis, publications, and conference talks as signals of your ability to handle complex projects, not just as tickets for the next academic contract.[7]

In the book, I call this “designing for multiple exits”: you remain genuinely competitive in academia for as long as that makes sense, but at any point you can pivot into a non‑academic role without starting from zero.[16]

Why I Keep Coming Back To This Message

The most painful conversations I have are with brilliant scientists who realize, after their second or third postdoc, that the numbers were never in their favor and that nobody told them early enough.[7] I do not want you to be in that position.

The point of stressing “how many make it to professorship” is not to scare you away from academia; it is to give you informed consent about the system you are operating in.[1] If you still choose to pursue a professorship with full awareness of the odds, that is a courageous and valid decision. If you choose to pivot into industry, regulation, or another path, that is equally valid—and statistically far more common.[17]

Career Options in the Life Sciences exists to make that pivot easier, more structured, and less lonely.[10] Use it as a workbook: highlight sections, map roles, test ideas, and build a concrete transition plan that reflects who you are and where you want to go.

If you take only one thing from this blog post, let it be this: your value as a scientist is not determined by whether you become a professor. It is determined by how you use your training, your curiosity, and your judgment to solve meaningful problems—in whatever environment allows you to do that best.[12][3]

References

[1] Gender Bias Impacts Top-Merited Candidates - PMC https://pmc.ncbi.nlm.nih.gov/articles/PMC8141636/

[2] Career options in the life sciences : guide research for your path ... https://unige.swisscovery.slsp.ch/discovery/fulldisplay/alma991012332828205502/41SLSP_UGE:VU1

[3] Biomedical PhD Education – An International Perspective https://onlinelibrary.wiley.com/doi/pdf/10.1111/bcpt.12063

[4] Career Progression in Academic Science from the Royal ... http://thebeautifulstars.blogspot.com/2011/08/career-progression-in-academic-science.html

[5] Should I become a professor? Success rate 3% !smartsciencecareer.com › become-a-professor https://smartsciencecareer.com/become-a-professor/

[6] Estimation of probabilities to get tenure track in academia https://forum.effectivealtruism.org/posts/3TQTec6FKcMSRBT2T/estimation-of-probabilities-to-get-tenure-track-in-academia

[7] A survey of working conditions within biomedical research ... https://pmc.ncbi.nlm.nih.gov/articles/PMC5627577/

[8] How Many PhDs Stay in Academia? — TurningScience https://www.turningscience.com/blog/how-many-phds-stay-in-academia

[9] 80% of professors at Ph.D.-granting universities attended ... https://www.highereddive.com/news/Berkeley-Harvard-Michigan-Wisconsin-Stanford-most-faculty/633842/

[10] Career Options in the Life Sciences: Guide Research for Your Path ... https://www.vitalsource.com/ie/products/career-options-in-the-life-sciences-guide-stefano-gaburro-eric-rieux-v9783031735653

[11] Career Options In The Life Sciences: Guide Research For Your Path ... https://www.hoepli.it/libro/career-options-in-the-life-sciences-guide-research-for-your-path-beyond-academia/9783031735646.html

[12] Career Options for Scientists. https://pmc.ncbi.nlm.nih.gov/articles/PMC5585847/

[13] A Career Preparation Course for Biomedical Science Majors Focused on Skills for Diverse Career Paths https://pmc.ncbi.nlm.nih.gov/articles/PMC10117091/

[14] Life Sciences Career Exploration https://pmc.ncbi.nlm.nih.gov/articles/PMC3164560/

[15] Guide to Academic Research Career Development https://pmc.ncbi.nlm.nih.gov/articles/PMC5580859/

[16] Springer Career Options in the Life Sciences: Guide Research for ... https://www.galaxus.ch/en/s18/product/career-options-in-the-life-sciences-guide-research-for-your-path-beyond-academia-eric-rieux-stefano--57103088

[17] What Percentage Of PhDs Stay In Academia? PhD Graduates Career ...academiainsider.com › what-percentage-of-phds-stay-in-academia https://academiainsider.com/what-percentage-of-phds-stay-in-academia/

Carbon source

(of note, this article is AI generated, needs validation)

To utilize complex sugars (polysaccharides such as cellulose, hemicellulose/xylan, pectin, starch, chitin, alginate, or plant cell wall components), bacteria must overcome the challenge of depolymerizing large, insoluble polymers that cannot cross the cell membrane. This requires specialized enzymatic and regulatory machinery beyond what is needed for simple sugars (e.g., glucose).

General Requirements for Bacteria

Extracellular/cell-surface CAZymes (Carbohydrate-Active enZymes): Glycoside hydrolases (GHs), polysaccharide lyases (PLs), and carbohydrate esterases (CEs) to break polymers into transportable oligosaccharides/monosaccharides.
Sensing and regulation: Mechanisms to detect the polysaccharide and induce expression (e.g., transcriptional regulators responding to oligosaccharides).
Transport systems: For importing breakdown products (e.g., TonB-dependent transporters, ABC transporters).
Intracellular processing: Further hydrolysis and entry into central metabolism (e.g., glycolysis). These capabilities are not universal; many bacteria are limited to simple sugars, while others specialize in recalcitrant substrates (e.g., crystalline cellulose).

The machinery differs markedly across phyla, reflecting ecological niches (gut, soil, rumen, marine). Below is a structured overview by major phyla, focusing on the most prominent systems.

Phylum (common former name)	Key Machinery	Description of System	Typical Polysaccharides Degraded	Examples & Notes
Bacteroidota (Bacteroidetes)	Polysaccharide Utilization Loci (PULs); sometimes Type IX Secretion System (T9SS)	Substrate-specific gene clusters with: transcriptional regulators (e.g., SusR-like HTCS), outer membrane transporters (SusC-like TonB-dependent), glycan-binding proteins (SusD-like), periplasmic/extracellular CAZymes (endo/exo-acting). Often "selfish" (tethered enzymes minimize cross-feeding). T9SS secretes large multi-modular enzymes in non-gut species.	Diverse plant/mucin glycans: pectin, xylan, starch, alginate, carrageenan, galactomannan	Bacteroides thetaiotaomicron, B. fragilis (gut); Zobellia galactanivorans (marine). Highly versatile; PULs enable rapid, specific degradation via positive feedback loop.
Bacillota (Firmicutes)	Cellulosomes (in anaerobic Clostridia); free/secreted CAZymes in others	Multi-enzyme complexes anchored to cell surface: scaffoldin protein with cohesin modules binds dockerin-bearing enzymes (cellulases, hemicellulases, esterases). Synergistic action on crystalline substrates; enzyme content adaptable.	Crystalline cellulose, hemicellulose, plant cell walls	Clostridium thermocellum, Ruminococcus flavefaciens (rumen/gut). Cellulosomes are highly efficient for recalcitrant biomass; not all Firmicutes have them.

(The diagram above illustrates a modular cellulosome structure in Firmicutes, showing scaffoldins (e.g., ScaA/B/C) with cohesin-dockerin interactions assembling diverse enzymes for plant cell wall degradation.)

Actinomycetota (Actinobacteria) | Secreted individual/multi-modular CAZymes | Free or loosely associated extracellular enzymes (e.g., chitinases, amylases, cellulases); no large organized complexes like PULs/cellulosomes. | Chitin, starch, cellulose, lignocellulose components | Streptomyces spp., Cellulomonas. Major soil decomposers; enzymes often secreted broadly for community benefit. | Pseudomonadota (Proteobacteria) | Secreted CAZymes; variable specialized systems | Individual extracellular enzymes (e.g., alginate lyases, agarases); some have PUL-like or other clusters. Highly variable across classes. | Alginate, agar, carrageenan, some plant glycans | Vibrio spp., Zobellia (marine); some enteric species. Common in aquatic/plant-associated niches. | Fibrobacterota (Fibrobacteres) | Unique cell-surface-associated proteins; no classic cellulosomes | Specialized surface machinery (e.g., fibro-slime domains, envelope rearrangements, possibly vesicles) for adhesion and degradation. | Primarily crystalline cellulose | Fibrobacter succinogenes (rumen). Highly specialized; efficient but narrow range. |

Other phyla (e.g., Verrucomicrobiota, Planctomycetota) show emerging potential for complex glycan degradation, often via scattered CAZymes or hybrid systems, but are less dominant.

In summary, Bacteroidota excel at specific, regulated degradation in dense environments like the gut via PULs, while Bacillota use cellulosomes for synergistic attack on tough substrates in anaerobic settings. Actinomycetota and others rely on simpler secreted enzymes suited to soil or open environments. These differences drive microbial community dynamics and carbon cycling in diverse habitats.

Aerobic and Anaerobic Respiration

Aerobic and anaerobic respiration

Respiration serves to oxidize glucose into CO₂ and energy (ATP). The oxidation occurs in 3 serial steps:

1) Glycolysis (requires ATP to start, but is net positive of ATP)

2) Citric acid cycle (produces NADH, FADH₂ and CO₂)

3) Electron transport chain in mitochondrial membrane (oxidative phosphorylation, uses NADH and FADH2 as electron donors, leading to proton influx and phosphorylation of ADP to ATP. The electron is finally donated to O₂, which serve as electron acceptor in aerobic respiration.)

Under anaerobic conditions alternative electron acceptors are required.

Here is a list of alternative electron acceptors:

Electron Acceptor	Process	Reduced Product(s)	Example Reduction Reaction	Typical Organisms/Examples
Nitrate (NO₃⁻)	Denitrification (or nitrate respiration)	Nitrogen gas (N₂), sometimes intermediates like NO₂⁻, NO, N₂O	2NO₃⁻ + 12H⁺ + 10e⁻ → N₂ + 6H₂O (overall for full denitrification)	Paracoccus denitrificans, Pseudomonas spp., some Escherichia coli strains
Sulfate (SO₄²⁻)	Dissimilatory sulfate reduction	Hydrogen sulfide (H₂S)	SO₄²⁻ + 10H⁺ + 8e⁻ → H₂S + 4H₂O	Desulfovibrio spp., Desulfobacter spp., some Archaeoglobus
Fumarate	Fumarate respiration	Succinate	Fumarate²⁻ + 2H⁺ + 2e⁻ → Succinate²⁻	Escherichia coli, some anaerobic bacteria (e.g., Wolinella)
Carbon dioxide (CO₂)	Methanogenesis	Methane (CH₄)	CO₂ + 8H⁺ + 8e⁻ → CH₄ + 2H₂O	Methanogenic archaea (e.g., Methanosarcina barkeri)
Ferric iron (Fe³⁺)	Iron reduction (dissimilatory Fe(III) reduction)	Ferrous iron (Fe²⁺)	Fe³⁺ + e⁻ → Fe²⁺ (often involving Fe(III) oxides/hydroxides)	Geobacter spp., Shewanella spp.
Elemental sulfur (S⁰)	Sulfur respiration	Hydrogen sulfide (H₂S)	S⁰ + 2H⁺ + 2e⁻ → H₂S	Desulfuromonas spp., some sulfur-reducing bacteria

Other less common acceptors include manganese (Mn⁴⁺ reduced to Mn²⁺), perchlorate (ClO₄⁻), or certain organic compounds like trimethylamine N-oxide (TMAO), but the ones listed above are among the most widespread in microbial ecology.

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