Biologist · The scientist who studies life itself, from Linnaeus naming species by hand to editing genomes with CRISPR, still testing every idea against a living organism.
Milestones in order. This is history, not a weekly activity grid.
Darker cells mean a higher score for this topic on that metric.
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Not for every biology job — many research-technician, lab-associate and field-survey roles hire people with only a bachelor's or master's degree. But leading an independent research program, running a university lab, or holding many senior positions in pharmaceutical and biotech research nearly always requires a PhD, since it is the credential that certifies someone can design and defend original research alone.
It depends heavily on the role. A bachelor's degree (three to four years) is enough for many entry-level research or field positions. Becoming an independent principal investigator who runs a lab typically takes far longer: roughly four years of undergraduate study, five to six years for a PhD, and often several more years of postdoctoral research before a permanent position.
A physician diagnoses and treats human patients directly, using a medical degree focused on clinical practice. A biologist studies living systems more broadly — genes, cells, organisms, ecosystems — often without ever treating a patient, though biomedical researchers frequently work alongside physicians to develop the drugs, vaccines and diagnostic tools doctors later use in the clinic.
It varies enormously by country, sector and specialty. In the United States, biological scientists earned roughly $85,000 on average in 2023, according to the Bureau of Labor Statistics, though senior biotech-industry scientists and pharmaceutical executives earn considerably more. Academic salaries in much of Europe and Asia tend to run lower than US industry pay for comparable seniority.
CRISPR-Cas9 is a gene-editing tool adapted from a bacterial immune system that normally cuts up invading viral DNA. Jennifer Doudna and Emmanuelle Charpentier showed in 2012 that it could be reprogrammed to cut any chosen DNA sequence in any organism, making precise genome editing dramatically faster and cheaper than earlier methods — work that won them the 2020 Nobel Prize in Chemistry.
Unlikely to replace the core role soon. AI already speeds up specific tasks — protein-structure prediction, image analysis, literature search, sequence alignment — but designing a meaningful experiment, interpreting ambiguous results in biological context, and running delicate wet-lab or field work with unpredictable living material still depend on trained human judgment no current system reliably replicates.
For most of human history, understanding living things was inseparable from farming, medicine and religion — there was no separate "science of life" to belong to. What changed, gradually and then very quickly, was the emergence of a method: systematic observation, careful comparison, controlled experiment, and eventually the ability to read and rewrite the molecular code every living thing shares.
The profession's real turning points are not single eureka moments so much as a series of tools that let biologists ask sharper questions: the microscope, the specimen collection, the controlled cross-breeding experiment, the X-ray diffraction image, the DNA sequencer. Each one exposed a layer of life earlier biologists could only guess at.
Aristotle's History of Animals, compiled from his own dissections and observations around 350 BCE, describes roughly 500 animal species by structure, behavior and reproduction, and organizes them by shared traits in a way later naturalists recognized as a genuine precursor to classification. His student Theophrastus did the same for plants in Enquiry into Plants, and together the two works stayed the most complete biological reference in Europe for close to two thousand years.
Aristotle's History of Animals describes roughly 500 species based on his own dissections, organizing them by structure and behavior into groups later naturalists recognized as an early form of classification; his student Theophrastus produced a parallel study of plants.
Examining a sliver of cork under a microscope he had built himself, Robert Hooke saw tiny walled compartments and called them "cells" after the small rooms monks lived in, publishing the observation in his richly illustrated Micrographia — the first recorded use of the word in biology.
Carl Linnaeus's Systema Naturae introduced a standardized two-part Latin name for every species and a nested hierarchy of ranks — kingdom, class, order, genus, species — replacing the long, inconsistent descriptive names naturalists had used before, a system still in use essentially unchanged.
After Alfred Russel Wallace independently sent Charles Darwin a manuscript outlining the same theory Darwin had held unpublished for two decades, their work was jointly read at London's Linnean Society in July 1858; Darwin's On the Origin of Species followed in November 1859.
After eight years cross-breeding roughly 28,000 pea plants in his Brno monastery garden, Gregor Mendel presented statistical laws of inheritance to the local Natural History Society; published in 1866 in an obscure regional journal, the work went almost unread for 34 years.
Using sealed swan-neck flasks that let air in but kept out airborne dust and microbes, Louis Pasteur showed that sterilized broth stayed sterile indefinitely, disproving the ancient idea that living organisms spontaneously arise from non-living matter and laying groundwork for germ theory.
Building on X-ray diffraction images taken at King's College London — chiefly Rosalind Franklin's Photograph 51, shown to James Watson by colleague Maurice Wilkins without her knowledge — Watson and Francis Crick proposed DNA's double-helix structure; three linked papers appeared together in Nature that April.
Driving along a California highway, biochemist Kary Mullis worked out a way to exponentially copy a chosen stretch of DNA using repeated heating and cooling cycles — the polymerase chain reaction, developed at Cetus Corporation, which turned faint traces of DNA into quantities labs could actually study.
An international public consortium, racing a private effort led by Craig Venter's Celera Genomics, sequenced essentially the entire human genome over thirteen years at a public cost of roughly $2.7 billion, publishing a substantially complete sequence in April 2003.
Jennifer Doudna and Emmanuelle Charpentier published evidence that the CRISPR-Cas9 bacterial immune system could be reprogrammed with a single guide RNA to cut any chosen DNA sequence, turning a bacterial antivirus defense into the cheapest and fastest gene-editing method yet built.
From Aristotle's animal catalogues through medieval herbals and the first university botanical gardens, biology's core activity for two thousand years was careful description: naming, comparing and cataloguing living things, mostly for medical or agricultural use, with little sense yet of an underlying mechanism connecting them.
Improved microscopes revealed a hidden world of cells and microorganisms invisible to the naked eye, while Linnaeus's binomial system gave naturalists a shared language for organizing the explosion of new species colonial expeditions were bringing back from around the world, setting taxonomy on the footing it still uses today.
Darwin and Wallace's natural selection gave biology its first unifying mechanism for how species change, even as Mendel's parallel discovery of inheritance's statistical rules sat almost entirely unnoticed for three and a half decades, published in a journal too obscure for the rest of the field to find.
Mendel's rediscovery in 1900 launched modern genetics; Thomas Hunt Morgan's fruit-fly experiments located genes on chromosomes, Barbara McClintock found genes that could move within them, and a series of experiments through the 1940s narrowed the physical carrier of heredity down to DNA itself, setting up 1953's structural breakthrough.
Once DNA's structure was known, biology's center of gravity shifted toward molecules: recombinant DNA technology in the 1970s, PCR in 1983, the completed Human Genome Project in 2003, and CRISPR gene editing from 2012 onward have each let biologists read and rewrite living systems with steadily increasing precision and speed.
Neighbouring trades that no longer exist — absorbed, automated or regulated away.
Wealthy amateurs with no university post — clergymen, landowners, retired officers — dominated natural history for over two centuries, publishing in societies like the Royal Society and filling private cabinets with shells, fossils and pinned insects. University departments and paid research posts professionalized the field from the late 1800s, closing off a role that had never required formal training, only leisure and curiosity.
Naturalists like the young Alfred Russel Wallace supported themselves entirely by collecting exotic specimens abroad and selling them to museums, wealthy private collectors and dealers back home — a genuine trade with its own market prices per bird or beetle. Conservation law, customs restrictions and the rise of salaried museum expedition staff gradually closed off freelance collecting as a way to make a living.
Before pharmacology and botany split into separate disciplines, apothecaries trained for years to identify medicinal plants correctly by sight, smell and taste, since a misidentified herb could kill a patient rather than cure them. Chemical analysis, standardized dosing and formal pharmacy licensing in the 19th century replaced this plant-identification craft with laboratory-verified medicine.
None of this is finished. A field that has already survived losing its amateur-naturalist identity, watched its most important paper sit ignored for 34 years, and had its most credited discovery lean on evidence obtained without one contributor's knowledge, is now absorbing AI-driven protein prediction and automated cloud laboratories as just the latest tools in a very long sequence.
What has not changed since Aristotle first sat down to describe five hundred animals is the basic discipline underneath the tools: look closely at a living thing, describe honestly what is actually there, and test the idea against more evidence before believing it. Every era has changed how that happens; none has removed the need for it.
Closest neighbours on the six-score profile — not the same field only.
Derives and tests the mathematical laws governing matter, energy, space and time, from a lone chalkboard to a 3,000-author particle-collider paper.
AI-resistant 65 🏗️Designs buildings that must stand, meet code, please a client and cost the right amount — then carries legal responsibility if they don't.
AI-resistant 78 🧪The scientist who makes and measures matter itself — from Tapputi's Babylonian perfume still to today's robot laboratories, still the one who decides what the spectrum means.
AI-resistant 70 🎬Turns a screenplay into a finished film by deciding every shot, performance and cut, then persuades a producer, a studio and an audience the vision was worth the budget.
AI-resistant 73 🐾Treats patients from goldfish to horses that cannot describe a symptom, and carries the legal power to end their suffering by euthanasia.
AI-resistant 78 💱The scholar of scarcity — from Adam Smith's pin factory to the central-bank decision room, still asked to predict what no model fully captures.
AI-resistant 62Derives and tests the mathematical laws governing matter, energy, space and time, from a lone chalkboard to a 3,000-author particle-collider paper.
AI-resistant 65 🧪The scientist who makes and measures matter itself — from Tapputi's Babylonian perfume still to today's robot laboratories, still the one who decides what the spectrum means.
AI-resistant 70 📊Finds patterns and builds predictive models from data — a 2008 job title built on three centuries of counting, testing and visualizing evidence.
AI-resistant 38 🔭The scientist who measures the universe, from Babylonian clay tablets to space telescopes, still deciding which flicker in the data is a discovery.
AI-resistant 70 🧮From Babylonian scribes to Fields medalists and AI-assisted proof: the profession that turns hard questions into permanent certainty, one theorem at a time.
AI-resistant 70 🧿Builds, measures and controls devices that exploit quantum states for computing, sensing, communication and materials research.
AI-resistant 78 🧫Uses clinical, trial and health-system data to generate reliable evidence for safer care, research and operational decisions.
AI-resistant 68