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Microbiologists

Also called Clinical microbiologist, Medical microbiologist, Industrial microbiologist, Research microbiologist, Environmental microbiologist

In brief

In May 2025, BLS counted 18,940 US microbiologists, with median pay of $87,990 a year. Of the BLS counts since 2003, the highest was 21,870, in May 2017. The earliest figure here is an estimate of 150 from 1900, not measured the same way as today's count. The last full technology era for microbiologists: Next-generation sequencing, 2005 to 2018.

What the sources say

Official outlook

BLS projects employment to grow 6.2% from 2025 to 2035.

BLS Employment Projections 2025-35

AI exposure studies

Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35. BLS publishes these counts as yearly survey snapshots and cautions against reading them as a precise trend. In May 2021 BLS changed how it estimates these counts (a model-based method using three years of survey data) and moved fully to the 2018 occupation codes, so part of a change across 2021 can come from the method rather than the work.

Last updated .

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APA

Future History. (2026, October 11). Microbiologists: jobs and pay since 1900 [Data set; data as of BLS OEWS May 2025; BLS Employment Projections 2025-35]. https://futurehistory.earth/timeline/19-1022

Chicago

Future History. "Microbiologists: jobs and pay since 1900." Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35. Last modified October 11, 2026. https://futurehistory.earth/timeline/19-1022.

BibTeX

@misc{futurehistory_19_1022, author = {{Future History}}, title = {Microbiologists: jobs and pay since 1900}, year = {2026}, month = oct, howpublished = {\url{https://futurehistory.earth/timeline/19-1022}}, note = {Last updated 2026-10-11. Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35}, }

The access date is today's date on your device.

drag to travel through time
19001925195019752000now
2026
Known then as Bacteriologist (Koch-era profession formation)
Known then as Bacteriologist / Protozoologist / Mycologist (sub-field specialization era)
Known then as Bacteriologist / Microbiologist (antibiotics era, emerging unified title)
Known then as Microbiologist (ASM renamed 1960; molecular biology convergence)
Known then as Microbiologist / Molecular Biologist (recombinant DNA era)
Known then as Microbiologists (BLS SOC 19-1022)
Known today as Microbiologists (BLS SOC 19-1022)
Projected to still be called Microbiologists (BLS SOC 19-1022)
Data from the May 2025 survey
US Employment
19K
Est.

Stated in source: BLS OEWS

Official statistic
Report an error
Median Annual Wage
$87,990
Est.

≈ $85,734 in 2024 prices (derived by us, CPI-adjusted)

Official statistic
Report an error
Beat · 1882

March 24, 1882: Robert Koch announces the discovery of Mycobacterium tuberculosis before the Physiological Society of Berlin. The announcement is received in near-silence -- the audience understands they are witnessing something historic. Koch not only identified the bacterium but demonstrated the complete methodology: isolation in pure culture, microscopic observation, experimental infection of animals, and re-isolation. This four-step framework becomes codified as "Koch's postulates" and provides the epistemological foundation for all subsequent infectious disease microbiology. The March 24 date is now World Tuberculosis Day.

Beat · 1899

December 28, 1899: Fifty-nine bacteriologists and biologists gather at Yale University and found the Society of American Bacteriologists -- the world's first independent organization devoted to the promotion of bacteriology as a science and profession. The meeting was convened by H. W. Conn, E. O. Jordan, and A. C. Abbott, who had circulated a letter to roughly 40 bacteriologists across the United States and Canada. The charter membership of 59 individuals represents essentially the entire formal US microbiology profession at the time. The Society is eventually renamed the American Society for Microbiology in December 1960 to reflect the broadened scope of the field beyond bacteriology.

Beat · 1928

September 1928: Alexander Fleming returns from vacation to his laboratory at St. Mary's Hospital, London, and notices that a Penicillium mold has contaminated a culture plate of Staphylococcus and killed the bacteria surrounding it. Fleming names the active substance "penicillin" in his 1929 publication. The discovery is not acted on for a decade; it takes Howard Florey and Ernst Chain at Oxford (1940), and then a massive US government-coordinated production program involving USDA scientists in Peoria, Illinois (1941-1945), to transform Fleming's observation into the world's first mass-produced antibiotic. The industrial production effort employs hundreds of microbiologists and mycologists, establishing pharmaceutical microbiology as a major career sector.

Beat · 1953

April 25, 1953: James Watson and Francis Crick publish "Molecular Structure of Nucleic Acids: A Structure for Deoxyribose Nucleic Acid" in Nature. The double-helix structure of DNA, built on Rosalind Franklin's X-ray crystallography data, gives microbiology its molecular foundation. Bacteriophage (phage) genetics had already revealed that genes were made of DNA (Hershey-Chase experiment, 1952); the Watson-Crick structure explained how genetic information could be stored, copied, and expressed. The molecular biology revolution that follows fundamentally restructures what microbiologists do: by the 1970s, the tools of molecular biology (restriction enzymes, plasmid cloning, DNA sequencing) are core competencies for any research microbiologist.

Beat · 1983

Summer 1983: Kary Mullis, a biochemist at Cetus Corporation in Emeryville, California, conceives the polymerase chain reaction while driving Highway 128 in Mendocino County. He will publish the method in 1985; Taq polymerase from Thermus aquaticus (discovered in Yellowstone hot springs by Thomas Brock in 1966) makes the thermal-cycling protocol practical at scale. PCR earns Mullis the 1993 Nobel Prize in Chemistry and becomes the most widely used laboratory technique in biology and medicine. For microbiologists it transforms diagnostic capability: a pathogen that previously required weeks of culture to detect can now be identified in hours from a clinical specimen containing only a few organisms. The test is first used diagnostically for HIV detection in 1987.

Beat · 2003

April 14, 2003: The Human Genome Project Consortium announces the completion of the human genome sequence -- 3.2 billion base pairs, 99% complete, with 99.99% accuracy. The project had been running since October 1990. The same sequencing technologies developed for the HGP are immediately applied to pathogen genomes: by 2003, hundreds of bacterial and viral genomes are fully sequenced and publicly accessible. For microbiologists the genomic database transforms research: virulence factors, resistance genes, and evolutionary relationships that previously required years of classical genetics to establish can now be inferred computationally in days from a genome sequence.

Beat · 2020

January-December 2020: The COVID-19 pandemic elevates the microbiology profession to unprecedented public visibility. SARS-CoV-2 genomic sequences are shared publicly within days of the outbreak's identification in December 2019; the first full genome is published by Chinese researchers on January 10, 2020. Within 12 months, over 110,000 full SARS-CoV-2 genomes are publicly deposited; by December 2021 the rate reaches 67,000 new genomes per day and the total exceeds 6 million. The US government commits $1.7 billion specifically to expand genomic surveillance capacity. Microbiologists in public health laboratories, academic research settings, and diagnostic companies work at extraordinary pace -- but the pandemic also disrupts training programs and creates what many describe as "covidology": a narrowing of the field to pandemic work at the expense of other infectious diseases.

How to read this number

OEWS is a point-in-time survey snapshot, not a continuous time series; BLS advises against using it for year-over-year trend comparison.

Each dot is a cited figure over time; the dotted line only links them (values between aren't measured). Hollow dots are estimates.

Official statistic: Copied by a script from a statistics agency table or a published study's table, not retyped by hand. BLS figures and the forecast and exposure tables are also re-checked against that table on every data run. Researched context: Researched from the cited source rather than copied from it by a script, so it is not machine-checked yet. Spot a mistake? Each figure has a “Report an error” link.

Cited forecasts · present → 2035

Will AI replace microbiologists? What the research says

Each figure is stated by the named source; we publish no forecasts of our own. Where sources disagree, we show the disagreement rather than an average.

Each figure is stated by the named source; we publish no forecasts of our own. Where sources disagree, the spread is the honest signal.

What published forecasts say
Forecast change in the number of people doing this work, as published by each named source. Bars share one scale on every role, centred on zero and reaching the end at ±30%. Grey marks a small change, 3% or less either way.
BLS Employment Projections 2025-35
→ 2035
+6.2%
BLS National Employment Matrix, 2025-35 cycle, line for SOC 19-1022 (Microbiologists): 20.1 thousand jobs in 2025, projected 21.4 thousand in 2035, a change of +1.3 thousand (+6.2%). Matrix employment counts all jobs in the occupation, including self-employed workers (2% of this occupation in 2025). The average for all occupations in this cycle is +3.5%.
Official statisticReport an error
How exposed is this work to AI (research measures)
Scores as published by each study. Each row says what it measures. These measure what AI could technically do, not forecasts of jobs lost.
Eloundou et al. (2023), "GPTs are GPTs"
2023 study · Share of tasks exposed to LLMs (β, human-rated)
31.3%
of tasks
What this measures

Published occupation-level exposure from the paper's occ_level.csv for O*NET-SOC 19-1022.00 Microbiologists. Shown: human-rated β = 0.313, the share of the occupation's tasks an LLM could do in at least half the time at equal quality, counting tasks that need LLM-powered software at half weight (β = E1 + 0.5 × E2). Other published measures for this occupation: human-rated α (LLM alone) 0.083 and γ (all LLM-assisted) 0.542; GPT-4-rated β 0.396. This measures how much of the work an LLM could touch, not how many jobs disappear.

Official statisticReport an error
Today, in this role

What's changing day to day for microbiologists

Three parts of your work where AI is already doing real lifting, and what stays yours.

AI is taking this onInterpret AI-assisted culture plate readings from automated lab systems (WASPLab + PhenoMATRIX) that image plates at incubation entry and flag anomalous growth patterns, auto-releasing negatives to LIS without manual review.

Interpret AI-assisted culture plate readings from automated lab systems (WASPLab + PhenoMATRIX) that image plates at incubation entry and flag anomalous growth patterns, auto-releasing negatives to LIS without manual review.[6],[7]

Tools picking this up
Where your edge is

Retain oversight of the AI's release rules and audit false-negative rates quarterly; own the escalation protocol for any flagged plates the system passes to human review.

AI is sitting alongside you hereRun NGS sequencing runs through AI-accelerated pipelines (Illumina DRAGEN or Oxford Nanopore Dorado) to call variants, assemble genomes, and generate assembly QC reports for bacterial or viral isolates.

Run NGS sequencing runs through AI-accelerated pipelines (Illumina DRAGEN or Oxford Nanopore Dorado) to call variants, assemble genomes, and generate assembly QC reports for bacterial or viral isolates.[5],[8]

Where your edge is

Learn to interpret ML-flagged variant calls critically: understand where DRAGEN's recalibration model can fail on novel or highly divergent organisms, and validate edge cases manually.

AI is sitting alongside you hereConduct antimicrobial resistance (AMR) surveillance by running clinical isolates through AI-assisted genotypic resistance prediction tools that cross-reference whole-genome sequences against curated resistance gene databases (CARD, ResFinder).

Conduct antimicrobial resistance (AMR) surveillance by running clinical isolates through AI-assisted genotypic resistance prediction tools that cross-reference whole-genome sequences against curated resistance gene databases (CARD, ResFinder).[9],[3]

Tools picking this up
Where your edge is

Maintain proficiency in phenotypic AST (broth microdilution, disk diffusion) to catch resistance mechanisms not yet captured by genotypic databases, particularly for novel beta-lactamases and efflux-mediated resistance.

Where microbiologists go next

Natural next steps for someone with your foundation: not exits, evolutions.

What each move takes

A direction you could grow

Data Scientists

Microbiologists who have mastered metagenomics pipelines, NGS data analysis, and AI tool integration are halfway to a Data Scientist role in life science. Bioinformatics job postings now list genomics and microbiology domain knowledge as a differentiating credential alongside Python/R fluency.

What you'd add
  • · Python (pandas, scikit-learn, PyTorch for biological ML)
  • · R / Bioconductor (DESeq2, edgeR, Seurat for single-cell)
  • · Cloud compute (AWS/GCP life science pipelines, Nextflow/Snakemake workflow managers)
  • · ML model evaluation: ROC/AUC, cross-validation, bias assessment
  • · SQL and NoSQL database management for large genomic datasets
What it takesSome new skills to pick up
Tools of the era

How has the work of microbiologists changed since 1882?

The tools that defined the work, one line per era. Select an era to see how it reshaped the work.

  • Pure culture methods + aniline staining (Koch era)

    Robert Koch's development of solid growth media (nutrient agar, introduced in 1882 by Walther Hesse's wife Angelina, working in Koch's laboratory) and aniline dye staining techniques gave bacteriologists their founding toolkit. For the first time, individual microbial species could be isolated from mixed populations, grown in reproducible conditions, and identified by their staining characteristics. The Petri dish -- invented in 1887 by Julius Richard Petri while assisting Koch -- completed the basic bench unit that remains in every microbiology laboratory today. These methods were not merely instruments but a new epistemology: the claim that a specific organism caused a specific disease could now be tested, reproduced, and challenged.

    Effect on the work

    Koch's methods created the profession. Within several years of the 1882 tuberculosis announcement, laboratories using these techniques had identified the agents of cholera, diphtheria, tetanus, typhoid, plague, and dysentery. State boards of health began hiring full-time bacteriologists to apply these methods to public health surveillance -- the first permanent government employment for the new profession.

  • Antibiotics discovery pipeline (penicillin 1928, streptomycin 1943)

    Alexander Fleming's observation in September 1928 that a Penicillium mold had killed a Staphylococcus culture on an uncovered plate was the opening of an era. The practical development of penicillin as a medicine required not a single laboratory but a coordinated effort across the Atlantic: Fleming had identified the phenomenon; Howard Florey and Ernst Chain at Oxford purified it and proved its therapeutic value in 1940-1941; and American microbiologists, mycologists, and chemical engineers at the USDA Northern Regional Research Laboratory in Peoria, Illinois, scaled production from laboratory quantities to mass manufacture by 1945. The Peoria team's key contribution was discovering that deep-tank submerged fermentation of a high-yield Penicillium chrysogenum strain from a moldy cantaloupe could produce penicillin in industrial quantities. The same industrial fermentation methods were then applied to streptomycin (Selman Waksman, Rutgers, 1943) and a cascade of other antibiotics through the 1950s. The antibiotic era created a new category of microbiologist: the industrial fermentation scientist, employed by Merck, Pfizer, Eli Lilly, and Abbott to discover, produce, and quality-control antibiotic compounds.

    Effect on the work

    Industrial antibiotic production created the pharmaceutical microbiology sector, employing hundreds of microbiologists in fermentation research and manufacturing quality control by 1950. It also cemented the ASM membership growth that took the organization from a small academic society to a major professional organization by mid-century.

  • Electron microscope (first commercial unit 1938; virology transforms)

    Ernst Ruska and Max Knoll built the first electron microscope in 1931; the first commercial unit (Siemens, Germany) became available in 1938. The electron microscope gave microbiologists their first direct view of viruses -- objects too small for light microscopy -- and transformed virology from a discipline defined by what organisms it could not see into one capable of imaging individual viral particles. Phage biology, the foundation of molecular genetics, would have been impossible without the electron microscope. For bacteriologists the electron microscope revealed bacterial ultrastructure -- the cell wall, flagella, pili -- at nanometer resolution, enabling the structural studies that informed antibiotic target identification. The instrument required significant training in sample preparation (fixation, staining with heavy metals, ultramicrotomy) and became a marker of a well-equipped microbiology department.

  • Recombinant DNA + plasmid cloning (Boyer and Cohen 1973)

    Herbert Boyer (UCSF) and Stanley Cohen (Stanford) published their landmark recombinant DNA paper in November 1973, describing how restriction enzymes and plasmid vectors could be used to cut, splice, and amplify specific DNA sequences in bacteria. The practical implication for microbiologists was transformative: microorganisms could now be engineered as biological factories, producing human proteins like insulin (Genentech, 1978), growth hormone, and interferon. The technique also gave clinical microbiologists a new tool for identifying pathogens by their genetic signatures rather than their growth characteristics. The first wave of biotechnology companies -- Genentech (1976), Biogen (1978), Amgen (1980) -- were essentially microbiology shops, applying E. coli expression systems to pharmaceutical production. This era created the "industrial microbiologist" in a new sense: not the fermentation scientist producing penicillin but the molecular biologist engineering organisms to manufacture therapeutics.

    Effect on the work

    Biotechnology sector creation added a new and eventually dominant employment pathway for microbiologists. Genentech's IPO in 1980 -- the first biotech IPO -- signaled a permanent shift in where microbiology PhDs would work. By 1990 more than half of new microbiology PhDs from top research universities were entering industry rather than academic careers.

  • PCR (Kary Mullis, 1983)

    Kary Mullis invented the polymerase chain reaction at Cetus Corporation in 1983 and published the method in 1985. PCR allowed a microbiologist to amplify a specific DNA sequence from a vanishingly small starting sample -- a single bacterium in a mixed clinical specimen, a trace viral particle in a blood draw -- to quantities large enough to detect, sequence, and characterize. For clinical microbiologists it replaced weeks of culture-based diagnosis with same-day molecular identification. For research microbiologists it enabled whole new experimental approaches: site-directed mutagenesis, gene cloning without restriction enzymes, detection of unculturable organisms. The thermostable DNA polymerase from Thermus aquaticus (discovered in a Yellowstone hot spring) that made repeated PCR cycles practical was itself a product of basic microbiological fieldwork -- a reminder that environmental microbiology underpins the molecular tools. PCR earned Mullis the 1993 Nobel Prize in Chemistry and is probably the single most widely used laboratory method in the world today.

    Effect on the work

    PCR eliminated the need for some culture-based diagnostic positions while creating new demand for molecular diagnostic microbiologists. Clinical laboratories that previously employed large teams for culture-and-identification work began shifting toward smaller, higher-skilled molecular teams. The transition took two decades to fully materialize.

  • Human Genome Project + automated Sanger sequencing (1990-2003)

    The Human Genome Project, formally begun in October 1990 and completed in April 2003, transformed biological science at a scale comparable to what Pasteur and Koch's germ theory had done a century earlier. For microbiologists the genomics era had two major practical effects: whole-genome sequencing of bacterial and viral pathogens became a standard research tool, and the bioinformatics skills needed to analyze sequence data became a core competency alongside bench skills. The first complete bacterial genome sequence -- Haemophilus influenzae, by Craig Venter's group at TIGR in 1995 -- was followed by a flood of pathogen genomes. By 2003, hundreds of organisms had their full genetic sequences published and publicly accessible. A microbiologist who could work with sequence data was dramatically more powerful than one who could not.

    Effect on the work

    Genomics created the bioinformatics sector as a career pathway for microbiologists with quantitative skills, and expanded the pharmaceutical industry's demand for genomics-literate microbiologists in target identification and drug discovery. Commercial genomics companies -- Incyte, Human Genome Sciences, Celera -- briefly employed hundreds of biologists in the late 1990s before the genomics bubble corrected in 2000-2001.

  • Next-generation sequencing (Illumina 2006; 454, Ion Torrent)

    Illumina's introduction of sequencing-by-synthesis on the Genome Analyzer platform in 2006 -- and its subsequent domination of the market through the HiSeq and MiSeq lines -- reduced the cost of sequencing a bacterial genome, and the time from weeks to hours. For clinical microbiologists, whole-genome sequencing became a practical tool for outbreak investigation and antimicrobial resistance surveillance rather than a research-only capability. For public health microbiologists, large-scale genomic epidemiology became possible: hospital infection control teams could now trace the transmission chains of MRSA or Clostridioides difficile at single-nucleotide resolution. The NGS era also created metagenomics -- sequencing all DNA in a sample without culturing -- which opened the human microbiome (a community of trillions of organisms) to systematic study and generated an entirely new research program.

    Effect on the work

    NGS created demand for microbiologists with bioinformatics skills at a speed that outpaced training pipelines; the hybrid "wet-lab plus computational" microbiologist became the most sought-after profile in pharmaceutical, academic, and public health settings from approximately 2010 onward.

  • AI-assisted microbiology (AlphaFold 2018/2021, WASPLab, DRAGEN, BugSeq)

    The current AI era in microbiology has multiple distinct fronts. In protein structure: DeepMind's AlphaFold 2 (released 2021) predicted accurate 3D structures for virtually all known proteins, including those of major pathogens, at a scale no experimental method could match; the 2025 AlphaFold database covers hundreds of millions of structures including WHO priority pathogen proteomes. In clinical diagnostics: Copan's WASPLab and PhenoMATRIX system applies computer vision and machine learning to culture plate imaging, auto-releasing negative plates to laboratory information systems without manual microbiologist review -- one of the first genuinely routine automation of a historically skilled task. Oxford Nanopore's Dorado basecaller uses transformer architecture to call bases from raw ionic current signals. In drug discovery: deep learning models (the MIT/Broad Collins Lab platform) screened about a hundred million chemical compounds and identified halicin (2020) and abaucin (2023) as novel antibiotics against drug-resistant organisms. The defining characteristic of the AI era is that it augments and accelerates existing microbiologist work rather than replacing the core judgment and experimental design function -- but the routine plate-reading and sequence-analysis tasks that once occupied significant fractions of clinical and research microbiologists' time are now substantially automated.

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Microbiologists employment and pay by year

On record since1882
Latest US employment18,940 (May 2025)Source: BLS OEWS May 2025Official statisticReport an error
Latest US median pay$87,990 (May 2025)Source: BLS OEWS May 2025Official statisticReport an error
Outlook+6.2% by 2035Source: BLS Employment Projections 2025-35Official statisticReport an error
View all 28 years of cited US data, each linked to its source
YearUS employmentAnnual pay (median unless marked)SourceReport
1900150n/aEst., American Society for Microbiology Researched contextReport
19402,500n/aEst., ACS Landmark Researched contextReport
196010,000$7,500Est., National Institutes of Health (employment) Researched contextEst., University of Missouri Libraries (pay) Researched contextReport
198014,000n/aEst., Encyclopaedia Britannica Researched contextReport
200015,880$48,890BLS OEWS 2000 Official statisticReport
200314,110$52,450BLS OEWS May 2003 Official statisticReport
200413,880$54,840BLS OEWS May 2004 Official statisticReport
200515,250$56,870BLS OEWS May 2005 Official statisticReport
200615,730$57,980BLS OEWS May 2006 Official statisticReport
200714,610$60,680BLS OEWS May 2007 Official statisticReport
200815,750$64,350BLS OEWS May 2008 Official statisticReport
200916,260$66,580BLS OEWS May 2009 Official statisticReport
201018,330$65,920BLS OEWS May 2010 Official statisticReport
201117,660$65,230BLS OEWS May 2011 Official statisticReport
201218,550$66,260BLS OEWS May 2012 Official statisticReport
201319,880$67,840BLS OEWS May 2013 Official statisticReport
201420,670$67,790BLS OEWS May 2014 Official statisticReport
201521,210$67,550BLS OEWS May 2015 Official statisticReport
201621,670$66,850BLS OEWS May 2016 Official statisticReport
201721,870$69,960BLS OEWS May 2017 Official statisticReport
201820,030$71,650BLS OEWS May 2018 Official statisticReport
201918,270$75,650BLS OEWS May 2019 Official statisticReport
202019,710$84,400BLS OEWS May 2020 Official statisticReport
202119,430$79,260BLS OEWS May 2021 Official statisticReport
202219,710$81,990BLS OEWS May 2022 Official statisticReport
202321,540$85,470BLS OEWS May 2023 Official statisticReport
202419,760$87,330BLS OEWS May 2024 Official statisticReport
202518,940$87,990BLS OEWS May 2025 Official statisticReport
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