Biology professors

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

• Natural history lecture1776–1859

  Natural history lecture and printed text (pre-laboratory era)

  The biology teacher of the colonial and early republic era worked without a laboratory in any modern sense. Instruction relied on printed natural history texts, specimen cabinets (collections of pressed plants, pinned insects, preserved animals in spirits), and illustrated folios. The primary pedagogical act was descriptive taxonomy: the professor named, classified, and compared organisms using Linnaean binomial nomenclature. Students copied notes and memorized classification systems. There was no experimental manipulation, no microscopy in most institutions, and no expectation that the teacher had personally discovered anything. The entire epistemology of the role was curatorial rather than generative.

• Compound microscope1859–1920

  Compound microscope and laboratory dissection (research university formation era)

  The achromatic compound microscope, commercially available in Europe by the 1830s but slow to reach American college labs, transformed biology teaching in the decades after Darwin's "On the Origin of Species" (1859). At Johns Hopkins, H. Newell Martin introduced the laboratory-based teaching model from Cambridge and Huxley's South Kensington laboratory: students learned biology by doing biology. Dissection of invertebrates, fresh tissue physiological preparations, and microscopic observation of cellular material replaced the lecture-and-text model. Martin established the "American model" of biology teaching: the professor was a research scientist first, and teaching was the transmission of a method, not just a body of facts. By 1890, the microscope was standard equipment at any self-respecting biology department.

  Effect on the work

  The shift to laboratory instruction increased faculty workload per student and drove demand for laboratory demonstrators and instructors, creating the first tier of what would eventually become the teaching assistant and adjunct labor market in biology.

• Spectrophotometer1920–1953

  Spectrophotometer, centrifuge, and biochemical assay (physiology and biochemistry instrumentation era)

  The interwar and wartime period brought quantitative instrumentation into biology teaching and research: the ultracentrifuge (Svedberg, 1924) allowed separation of macromolecules; the Duboscq colorimeter and later photoelectric spectrophotometers enabled quantitative biochemical assays; the microtome and histological staining allowed systematic tissue-section study. Biology faculty at research universities in the 1930s-1950s taught a discipline that was increasingly chemical and quantitative rather than morphological and taxonomic. The split between "organismal biology" and "molecular biology" was not yet named but was already visible: geneticists at Morgan's fly lab at Columbia were doing work that would eventually win Nobel prizes, while ecology was emerging as a separate empirical discipline through the work of Charles Elton and G. Evelyn Hutchinson.

• Molecular biology tools1953–1980

  Molecular biology tools: double helix model, gel electrophoresis, and recombinant DNA (1953-1975)

  Watson and Crick's double helix structure of DNA (published April 25, 1953 in Nature) remade the intellectual content of what biology faculty taught. Within a decade, messenger RNA had been discovered (1960), the genetic code cracked (Nirenberg, Holley, Khorana, Nobel 1968), and recombinant DNA techniques developed (Cohen and Boyer, 1972-73). Every biology department in the country had to retrain or replace faculty who had been teaching a primarily morphological biology with faculty prepared to teach molecular genetics, biochemistry, and cell biology. NIH funding grew substantially through the 1950s and 1960s, supporting research-active faculty who brought their bench work into the classroom. The SDS-PAGE gel electrophoresis system (Laemmli, 1970) became a standard undergraduate laboratory exercise; the teaching of restriction enzyme digestion and gel analysis entered the undergraduate curriculum in the late 1970s. The biology professor of 1975 was doing work conceptually unrecognizable to the biology professor of 1950.

  Effect on the work

  The molecular biology revolution drove the fastest sustained expansion of biology faculty headcount in American higher education history. Biology bachelor's degrees grew from 15,576 in 1959-60 to 34,034 in 1969-70 (NCES). NIH's extramural research budget supported research-track positions that required faculty to teach and run labs simultaneously, structurally differentiating research-intensive biology faculty from teaching-only faculty.

• PCR1980–2005

  PCR, DNA sequencing, and personal computer (genomics and computational era, 1983-2003)

  Kary Mullis invented the polymerase chain reaction (PCR) in 1983; by the late 1980s it was in every molecular biology teaching lab. PCR democratized molecular genetic analysis: an undergraduate at a well-equipped institution could amplify and sequence a specific gene in a two-week lab module that would have required months of expert labor a decade earlier. Simultaneously, the personal computer entered the biology classroom as a tool for data analysis, statistical computation (SAS, SPSS, and later R), and literature search (PubMed launched in 1996 as a free public resource). The Human Genome Project (1990-2003) created a new category of computational biology faculty whose primary tool was not a pipette but a terminal. The NIH budget doubling from $13 billion (1998) to $27 billion (2003) drove a burst of faculty hiring at research universities that would later be described as overexpansion.

  Effect on the work

  The NIH funding surge of 1998-2003 expanded biology faculty headcount at research universities significantly, particularly for molecular and cell biology subdisciplines. When NIH funding plateaued post-2003, many universities faced a structural mismatch: more PhD-trained biologists than tenure-track positions, accelerating the shift toward adjunct and contingent faculty appointments that would define biology teaching outside research universities by 2010.

• Learning management systems2005–2022

  Learning management systems, virtual simulations, and bioinformatics cloud platforms (digital pedagogy era)

  Learning management systems (Blackboard, Moodle, then Canvas) reshaped how biology faculty organized and delivered course content from the mid-2000s onward: lecture slides, recorded videos, online quizzes, and electronic grade books became the administrative scaffold around every course. Virtual laboratory simulations (Labster launched 2012) began allowing students to practice pipetting, PCR setup, and gel electrophoresis in simulated environments before entering physical labs. Cloud-based bioinformatics platforms (NCBI BLAST, UCSC Genome Browser, Galaxy) made genomic data analysis accessible to undergraduates without institutional computing infrastructure. The biology classroom of 2015 was a hybrid of physical wet lab, lecture hall, and digital resource environment that would have been unrecognizable to a professor of 1975.

• Generative AI2022–present

  Generative AI, AlphaFold, and AI-assisted biology tools (2022-present)

  Three AI tools arrived in close succession and collectively forced a reconsideration of what biology faculty do: AlphaFold2 (DeepMind, 2021-2022) predicted protein structures at near-experimental accuracy for free, replacing years of structural biology lab work with a short Colab query; ChatGPT and its successors (November 2022 onward) could draft lecture slides, write lab report rubrics, and synthesize literature reviews in minutes; and BioRender's AI figure generator (October 2024) automated the single most time-consuming non-lab research task for most faculty. NIH responded in September 2025 by banning AI-generated content from grant proposals (NOT-OD-25-132). The Federal Reserve (February 2026) placed life sciences postsecondary teaching in the above-average AI-exposure band. Across 2022-2026, biology faculty found that the tasks most vulnerable to AI compression were exactly the ones that consumed the most administrative time: lecture preparation, routine grading, and literature synthesis. The tasks most resistant to AI were exactly those that defined the biology professor's irreplaceable identity: physical wet-lab supervision, research mentorship across a multi-year graduate relationship, and the expert biological judgment required to design an experiment, interpret anomalous data, and decide whether a result is real.

  Effect on the work

  Generative AI tools are compressing faculty preparation and administrative time per week for faculty who adopt them fully, according to documented case studies (Gradescope: 30-50% grading time reduction; Elicit: up to 80% literature review time reduction). The AI tools appear to be net augmenters rather than displacers for this role.