Choosing the setting that pays a toxicologist most
$160,210estimated top of the range · middle $86,000 / yr
AI is transforming this role
Toxicologists in the United States earn a median of $86,000 a year. Pay starts near $52,000. The top of the range is estimated at $160,210. The Bureau of Labor Statistics does not publish a separate wage series for this exact title, so this figure is derived from the closest occupation it does track and is labelled an estimate.
Source: PayCrunch estimate. Last checked 9 September 2026.
Entry level
$52,000
Top-end estimate
$160,210
Education
Master's or Doctoral degree in Toxicology
Wages — PayCrunch estimate. The Bureau of Labor Statistics does not publish a separate wage series for Toxicologist; figures are derived from the closest occupation it does track and are labelled as estimates. AI-impact rating is PayCrunch's editorial assessment. Updated September 2026.
🆕 New & Trending AI Tools for ToxicologistReviewed September 2026
We track new AI-tool launches every week and refresh this list — here’s what’s gaining traction for Toxicologist work right now.
Julius AINEWFree / $20 mo
AI data analyst that runs statistics and charts from plain-language prompts.
How a Toxicologist uses it: analyze datasets and generate figures without writing code
NotebookLMNEWFree / $7.99 mo
Google tool that answers questions grounded only in the documents you give it — with citations.
How a Toxicologist uses it: load your own manuals, policies, or PDFs and ask questions that stay accurate to the source
ElicitFree / $12 mo
AI research assistant that finds and summarizes papers.
How a Toxicologist uses it: run a literature review and extract findings across dozens of papers fast
ConsensusFree / $9 mo
AI search that answers questions from peer-reviewed research.
How a Toxicologist uses it: get evidence-backed answers with the studies behind them
SciSpaceFree / paid
AI that explains papers and helps with literature review.
How a Toxicologist uses it: decode dense papers and trace citations quickly
SciteFree / $20 mo
Shows whether other studies support or contradict a paper's claims (Smart Citations).
How a Toxicologist uses it: check if a finding is actually backed by the wider literature before you cite it
ChatGPTFree / $20 mo
The most-used AI assistant — writing, analysis, research, and images from a plain-language chat.
How a Toxicologist uses it: draft emails and documents, summarize long files, and get instant answers to on-the-job questions
ClaudeFree / $20 mo
AI assistant known for careful writing, long-document analysis, and coding.
How a Toxicologist uses it: analyze big reports or spreadsheets and turn messy notes into clean, finished writing
Google GeminiFree / $20 mo
Google's AI assistant, built into Gmail, Docs, and Search.
How a Toxicologist uses it: draft and reply inside Google Workspace and research without leaving the page
Opening a case file
A toxicologist starts many mornings with a stack of study summaries, a regulator's letter, and a product team that wants a plain answer. The substance already exists. The study has already been run by someone else. The job is to read what the data can support, say what it cannot support, and write an opinion other people can act on. That opinion may go to a safety committee, a clinical team, a plant manager, or a public agency. The toxicologist is the person who translates biological harm into a decision.
The work shows up in more than one building. A pharmaceutical company asks whether a finding in an animal study should slow a development program. A consumer-products firm asks whether a trace contaminant in a household formula belongs on a label. A chemical manufacturer asks whether a worker exposure scenario needs tighter controls. A consulting firm writes the same kind of opinion for clients who do not keep a full staff. A forensic laboratory interprets analytical results for a medical examiner. A university laboratory studies a mechanism and teaches the next cohort. A federal or state agency reviews someone else's submission and decides whether the evidence is enough.
The day is mostly reading, writing, and talking. You compare a new finding with what the literature already says. You sit with a study director and ask what the control group did. You tell a lawyer which sentence in a report is sturdy and which sentence is a guess. You tell an engineer that a ventilation change is a workplace decision, while the toxicologist's part is to explain the health consequence. You rarely invent a new molecule. You judge the ones already in use, already in a product, or already in a case file.
Specialties change the scenery without changing the core. A clinical toxicologist may consult on a patient whose exposure is unclear, working from the chart and the lab report rather than from a recipe. A forensic toxicologist explains what a result means in a legal setting. An occupational toxicologist thinks about the people who handle a material at work. An environmental toxicologist thinks about wildlife, water, and soil after a release. A regulatory toxicologist lives in submission packages and correspondence. People move among those rooms over a career, and the writing skill travels with them.
Good work is calm and specific. You name the population you are worried about, the route by which they might meet the substance, and the uncertainty you cannot close. You separate a hazard, which is the capacity to cause harm, from a risk, which depends on whether anyone is actually exposed. You flag a study that was too small, a method that does not match the claim, or a conclusion that jumped past the data. You leave bench methods and clinical treatment plans to the professions that own them. Your product is a reasoned opinion.
Why graduate school sits in the middle of the path
A bachelor's degree in chemistry, biology, biochemistry, pharmacology, or a related science is a common start. It is not the usual finish for someone who will hold the toxicologist title. Employers who hire for this name expect a graduate degree. A master's can open staff roles in industry, consulting, and some public agencies, especially when the thesis and the coursework sit close to toxicology. A doctorate is the more common path into independent judgment, study design at a conceptual level, and roles where your name is the one on the opinion.
Graduate programs that fit this career live under several department names. Toxicology, pharmacology, environmental health, and public health are the usual homes. What matters is the training, not the banner on the door. You learn to read a paper without swallowing the abstract. You learn how a study can mislead because the comparison group was wrong, the exposure was poorly described, or the endpoint did not match the claim. You learn to write so a non-specialist can follow the logic. You learn enough statistics to know when a result is fragile. The point of the degree is judgment about harm, not a set of instructions for making harmful substances.
After the degree, some people take a postdoctoral appointment and publish. Others go straight to a staff job and learn the house style of reports. Both routes can work. The people who stall are often the ones who can discuss a mechanism in a seminar and cannot write a two-page opinion a product manager will finish. Practice that writing while you are still in school. Ask a mentor to mark a memo the way a client would mark it. Keep a short portfolio of plain-language summaries, with any confidential material removed.
A credential peers grant
Board certification in toxicology is a professional credential. It is not a description of an exam. The American Board of Toxicology grants the diplomate credential, often shortened to DABT, to people the board recognizes as qualified in the field. The credential tells an employer, a client, or a court that a board of peers has accepted your standing. It does not teach a method, and it does not replace the graduate degree that got you into the work.
People prepare by doing the job. A graduate degree comes first. Then comes a stretch of professional practice: reports you signed or contributed to, problems you had to solve in public or inside a company, and a record a reviewer can actually look at. The board looks at that body of work and at your education. Treat the credential as recognition after you have already become a toxicologist, not as a class you take instead of becoming one. Colleagues who already hold it are the best guide to timing. Ask them what in their packet mattered. Do not expect a syllabus of tricks.
Not every posting requires the credential on day one. Many first staff jobs ask for the graduate degree, a relevant project, and clear writing. Certification becomes more salient when you will testify, when you will be the named expert on a submission, or when a consulting firm sells your reputation as well as your labor. If you want that later work, plan the credential early enough that your packet has real reports in it. If you want a research track inside a university, publications may matter more than the diplomate letters, and you should ask the people who hire on that track rather than assume.
How laboratories and agencies hire
Hiring managers read the degree, the specialty, and the writing sample before they fall in love with a mission statement. Put the graduate degree in the first lines. Name the department and the focus of the thesis in ordinary words. List the kinds of opinions you have written: internal memos, literature reviews, regulatory responses, forensic reports, or papers. If a document is confidential, describe its type and your role without pasting the contents. A sentence such as "drafted the nonclinical summary for a small-molecule program" tells a pharma recruiter more than a paragraph of adjectives.
Interviews often sound like a journal club. Someone hands you a figure, a short paper, or a redacted case and asks what you believe and what you would refuse to say. Think out loud about the comparison group, the endpoint, and the leap from a finding to a claim. It is fine to say you would want a second study, a clearer exposure history, or a colleague in another specialty. It is a bad sign if you invent certainty to look decisive. The job is judgment under incomplete evidence. Managers hire the person who can stay honest and still give a useful answer.
The rooms that hire are corporate product stewardship and drug safety, contract research and consulting firms, clinical and forensic laboratories, public health and environmental agencies, and universities. Titles vary. You might be called a toxicologist, a scientist, an associate director, or a reviewer. Read the duties. If the posting is really a technician role that runs instruments all day, it is a different job, even if the word toxicology appears. If the posting asks you to own opinions, talk to regulators, or sign language that will leave the building, you are in the right conversation.
A first offer may be a contract, a fellowship, or a staff seat with a narrow specialty. Take the seat if a mentor will review your drafts and some of the reasoning will be yours. The career grows when your name starts appearing on the opinion, not only on the data check.
Estimates, because no separate series exists
How to read these figures
The Bureau of Labor Statistics does not publish a separate wage series for this exact title. The figures in this section are PayCrunch estimates. They describe this occupation as estimates, and they should be used as estimates. They are a planning range for a conversation, not a wage posted by the Bureau under the toxicologist name.
PayCrunch estimates place the start of the range at $52,000, the middle at $86,000, and the top of the estimates at $160,210. The distance from the start to the middle is $34,000. The distance from the middle to the top is $74,210. Hold those two gaps apart. The first gap is the climb most early-career people are trying to make. The second gap is the long stretch that belongs to people with scarce specialty knowledge, a record of signed opinions, and responsibility that a new graduate does not yet have.
Because these are estimates, do not treat $86,000 as a promise from a particular employer, and do not treat $160,210 as a salary you can demand by quoting a table. Use them to see the shape of the market this model describes. An offer near $52,000 sits at the entry estimate. An offer near $86,000 sits at the middle. An offer that reaches toward $160,210 is in the upper part of the estimate, where the $74,210 gap above the middle has mostly closed. Say which figure you are using, and say that it is an estimate.
Keep the negotiation on the three estimates and the two gaps. If an employer quotes a local market, ask what role that number describes. A technician wage, a physician wage, and a toxicologist estimate are different markets. Do not let a flattering number from a neighboring job replace $52,000, $86,000, and $160,210.
Talking through an offer
Walk in with the three estimates written down, and with a sentence about where you think you sit. A new graduate with a master's, a thesis, and little signed work is close to the $52,000 entry estimate. Asking for the $86,000 middle on the first day, with no record, is a hard argument. A clearer ask is to learn how the employer moves people across the $34,000 gap: what a second year requires, what authorship or review duty counts, and when the salary is revisited. You are negotiating a path as well as a starting number.
A doctorate, a postdoctoral record, or a few signed opinions moves the conversation toward the middle. Board certification strengthens that conversation further, because it is outside evidence of standing. You might say that the entry estimate is $52,000, that the middle estimate is $86,000, and that your degree plus independent writing belong closer to the middle than to the start. Then stop. Let the employer answer. A long speech about your passion does less than those two figures and a concrete example of a report you owned.
Use $160,210 carefully. It is the top of the PayCrunch estimates, $74,210 above the middle. It fits a person who leads a function, who is the named expert on difficult filings, or who bills at a senior consulting rate that the employer can recover. It is a poor anchor for a first industry job. Mention it to show you understand the range has a top, and to ask what responsibility inside that organization actually reaches the upper end. If the answer is "nothing here looks like that," believe it, and negotiate inside the entry-to-middle gap instead.
When two offers land, compare each one with the same three figures. An offer of $52,000 at a famous employer and an offer near $86,000 at a smaller firm are $34,000 apart, which is the entire entry-to-middle gap. Fame does not close that gap by itself. Ask which offer gives you drafts with your reasoning in them, access to a diplomate who will mark your work, and a review of pay when your scope grows. Benefits and a signing amount matter, but do not invent a dollar value for them. Keep the cash comparison on $52,000, $86,000, and $160,210, and describe the rest in words.
The longer arc
The first years are about becoming someone whose draft can leave the building. You learn one specialty deeply enough that colleagues route those files to you. You learn the house rules for how uncertainty is phrased. You learn which studies the organization will repeat and which conclusions it will defend. That reputation is the real promotion. Titles such as senior scientist, principal scientist, or associate director come after people trust the opinion, not before.
Later forks are real. Some toxicologists stay technical and become the person a company calls when a finding is public and difficult. Some manage a safety group and spend more time on priorities and review quality than on a single substance. Some consult, some join an agency, and some teach. The graduate degree and, later, board certification travel across those forks.
Keep the ethical line bright. You will be asked, sometimes softly, to make a weak study sound strong. The profession's value is the opposite habit. Write the limit of the data in the same paragraph as the conclusion. Send a question back to the study team when the design cannot support the sentence marketing wants. If you want a long career, the people who rehire you are the ones who were never embarrassed by your memo. Pay follows that trust. The estimates say the market this model describes runs from $52,000 through $86,000 and on toward $160,210. The work that justifies movement along that range is careful judgment, plainly written, under your own name.
The top of Toxicologist pay — and how to get there with AI
$160,210top-end estimate for Toxicologist
PayCrunch estimate - derived from the closest occupation BLS tracks (Medical Scientists, Except Epidemiologists, 19-1042). This figure is PayCrunch’s estimate, not a Bureau of Labor Statistics published wage for this exact title.
And the role it leads to — Biochemists and Biophysicists — reaches $222,850 in Texas.
$52,000entry$86,000middle$160,210top end
Two toxicologists can run the same assays and analyse the same tissue samples; the one at the top of this range is directing studies somebody is paying for and signing the report that goes to a regulator.
Academic and public-health positions reward publication, and publication is slow. Contract research organisations, pharmaceutical safety groups and industrial exposure work reward something else: a study designed, run and reported on a schedule a submission depends on. The underlying work is familiar — planning and directing studies of disease and treatment, preparing and analysing organ, tissue and cell samples, evaluating the effect of drugs, gases, pesticides and microorganisms at different levels of exposure. What changes is who owns the deadline. Statistical work in IBM SPSS Statistics and manuscript drafting compress well with Claude or ChatGPT; study design, safety judgement and the willingness to sign a conclusion do not.
Your playbook, by where you are now
Just startingOwn the assay and the record behind it
Run your sample preparation and analysis to a written protocol from the first week, and record every deviation rather than repeating the run quietly.
Follow the handling procedures for toxic material exactly, and be the person others copy on containment rather than the one who improvises.
Learn your own statistics in IBM SPSS Statistics instead of handing data to a collaborator and taking the output on trust.
Script the repetitive analysis on Linux so a reanalysis takes an afternoon rather than a fortnight.
Write up every study you touch, even the ones that go nowhere, and keep the drafts.
What proves it: A published method or a validated assay that other laboratories in your institution now use.
Realistic span: the first three years after training
A few years inMove from bench to study direction
Ask to design a study rather than execute one, including dose selection, controls and the endpoints a reviewer will question.
Learn the regulatory format your sector submits in, and read real submissions rather than summaries of them.
Write grant applications even in industry; the discipline of arguing for money sharpens how you scope a study.
Take the teaching load — training physicians, residents and technicians on laboratory procedure — because it builds the reputation that brings collaborations.
Present findings to a non-scientific audience at least twice a year and get better at it every time.
What proves it: A study you designed and directed, reported under your name to a sponsor or a regulator.
Realistic span: years four through eight
ExperiencedTake the position that pays for judgement
Move toward a contract research or industry safety group, where study direction is the product and is priced as such.
Pursue board certification in toxicology; it is the credential that separates consultants from applicants.
Build a consulting practice on expert opinion and litigation support once your published record can withstand cross-examination.
Map exposure and epidemiological data in ESRI ArcGIS software when your work touches populations rather than samples.
Kansas pays this occupation better than most states because of where its research and agricultural chemical employers sit; weigh that against where the work you want is done.
What proves it: Board certification plus a record of sponsor studies or expert opinions you signed.
Realistic span: year nine onward
The next 90 days
In the next ninety days, take one study you are working on and write the protocol you would have submitted if you had designed it yourself — dose groups, controls, endpoints, statistical plan, and the specific objection a reviewer would raise about each choice. Then take a study that has already reported and reanalyse the data yourself from the raw values, without looking at the published analysis first. Comparing what you produced with what was published will teach you more about study design than a year of running samples, and the protocol document is the thing to put in front of a supervisor when you ask to lead the next one. Directing studies, not performing them, is what this field pays for.
Wage figures: PayCrunch estimate. The playbook is PayCrunch editorial guidance, not a guarantee of pay or placement.
Every figure is the national median from the U.S. Bureau of Labor Statistics (OEWS) shown on that role’s own page.
Never used AI before? Start here (2 minutes).
Build QSAR intuition on free in silico tools first. Run structures through ProTox 3.0, SwissADME, and the EPA CompTox Chemicals Dashboard to see how predicted toxicity endpoints, ADMET properties, and read-across analogs are generated — this is the computational fluency that increasingly defines the field. Always read the applicability-domain and confidence output, never just the verdict.
Use ChatGPT or Claude to explain endpoints, mechanisms, and guidelines and to write R for dose-response work. For regulated submissions, move to validated tools (Derek Nexus, ADMET Predictor, the OECD QSAR Toolbox) inside compliant systems, and keep proprietary structures out of consumer tools.
The one rule, forever: In silico predictions and QSAR/read-across are weight-of-evidence inputs, not proof of safety — a hazard call that protects human or environmental health must rest on validated methods, a defined applicability domain, and expert judgment, and be defensible to regulators. Never present a model prediction as a definitive safety conclusion, confirm every model is used within its applicability domain, keep proprietary structures in compliant tools, and follow the actual ICH/OECD/EPA guidance rather than an AI's paraphrase of it.
The plays — exact steps, exact prompts
Do these in order. Each one is copy-paste ready. You do not need to know anything about AI going in.
1
Screen and predict toxicity in silico before the study
Why this pays: Flagging a genotoxic, hepatotoxic, or cardiotoxic liability early — before an expensive study or a doomed candidate advances — is enormously valuable to any drug or chemical program. Being the toxicologist who runs and interprets these predictions makes you central to go/no-go decisions, and that centrality is what senior comp rewards.
Run candidate structures through Derek Nexus for structural alerts and ADMET Predictor for ADMET/tox endpoints, and cross-check with free ProTox 3.0 — always reading the applicability domain and confidence, not just the call.
2
For impurities, apply the ICH M7 framework (expert + statistical QSAR) and use AI to structure the assessment logic.
Copy-paste this prompt
Explain how to conduct an ICH M7 mutagenicity assessment for a drug impurity using two complementary (Q)SAR methodologies — one expert-rule (e.g. Derek) and one statistical (e.g. Sarah). Describe how to combine the two predictions, when an expert review overrides a call, how to document the applicability domain, and what the resulting control classification means. Cite where ICH M7 defines each step.
Verify the workflow against the actual ICH M7 guideline. A structural alert is a hypothesis; the classification and any expert override are your professional responsibility.
What you'll haveEarly, documented hazard flags that shape program decisions — the indispensable input that puts you at the decision table and in senior pay bands.
2
Master read-across and QSAR for regulatory data gaps
Why this pays: Regulatory programs like REACH demand toxicity data the sponsor often doesn't have — and animal testing is costly, slow, and increasingly restricted. A toxicologist who can build a defensible read-across or QSAR to fill the gap saves programs enormous time and money, which is precisely the expertise consultancies and registrants pay top rates for.
OECD QSAR ToolboxOPERA (EPA)EPA CompTox Dashboard
1
Use the OECD QSAR Toolbox to profile a substance, identify a category of analogs, and build a read-across justification, supported by OPERA predictions and analog data from the EPA CompTox Dashboard.
2
Use AI to structure the read-across argument to regulatory expectations.
Copy-paste this prompt
I'm building a read-across to fill a [repeat-dose toxicity] data gap for [substance] using analog [substance] under an OECD-style category approach. Outline a defensible justification: the basis for chemical/biological similarity, the metabolic and mechanistic support I need, how to address remaining uncertainty, and the elements a regulator (ECHA) expects in a Read-Across Assessment Framework document. Cite the guidance for each element.
Read-across is expert judgment supported by tools, not an automated answer — confirm each similarity and uncertainty argument yourself and verify against current ECHA/OECD guidance.
What you'll haveDefensible, animal-sparing data-gap solutions accepted by regulators — the premium regulatory-tox skill that commands senior rates.
3
Lead the shift to New Approach Methodologies (NAMs)
Why this pays: Agencies are actively moving to reduce animal testing in favor of NAMs — in vitro, in silico, and organ-on-chip evidence. The toxicologist who can assemble and defend a NAM-based weight-of-evidence is positioned at the front of where the field is going, which is exactly where the scarce, high-paying expertise sits.
Mine high-throughput screening data (ToxCast/Tox21 via the EPA CompTox Dashboard) for bioactivity relevant to your endpoint, and combine it with in silico and in vitro evidence into an integrated approach to testing and assessment (IATA).
2
Use AI to structure a defensible weight-of-evidence narrative.
Copy-paste this prompt
Help me build a New Approach Methodology weight-of-evidence for [endpoint, e.g. developmental toxicity / skin sensitization] for [substance]. Map the available evidence (in silico QSAR, ToxCast bioactivity, in vitro assays, read-across) to the relevant adverse outcome pathway, identify where the evidence is strong vs. uncertain, and outline how to present this to a regulator as an alternative to an animal study. Cite the AOP and guidance sources.
NAM acceptance is endpoint- and context-specific — confirm the regulatory status for your exact use, and present uncertainty honestly rather than overselling the model.
What you'll haveA leading command of non-animal, mechanism-based toxicology — the scarce, forward-looking expertise that anchors role at the top of the ranges.
4
Automate dose-response, PBPK, and risk analysis
Why this pays: Risk assessments hinge on dose-response modeling, benchmark-dose analysis, and exposure/PBPK work — technical, repeatable, and time-consuming. Using AI to script and speed this analysis lets you turn around more risk assessments at higher quality, the billable and decision-critical output behind senior consulting pay.
R (EPA BMDS)GastroPlus (PBPK)ChatGPT
1
Run benchmark-dose modeling (EPA BMDS / R) and PBPK simulations (GastroPlus) for internal-dose and margin-of-exposure work, and have AI write the R that automates fitting and plotting.
2
Get AI to draft and explain the analysis so you can verify the toxicology.
Copy-paste this prompt
Write documented R to perform benchmark-dose modeling on this dose-response dataset [paste doses and responses]: fit the standard continuous/dichotomous model suite, select the best model by AIC and goodness-of-fit, report the BMD and BMDL at a [10%] benchmark response, and plot the fits with confidence intervals. Explain each modeling choice and the assumptions I must check.
Confirm model selection, the benchmark response, and biological plausibility yourself — a statistically best fit can be toxicologically wrong, and the risk conclusion is yours.
What you'll haveFaster, higher-quality dose-response and risk analyses — more billable assessments and sharper decisions at senior rates.
5
Accelerate hazard reviews and regulatory dossiers
Why this pays: Systematic hazard reviews and regulatory writing (REACH dossiers, tox summaries, safety assessments) are deliverable-heavy and slow. Using AI to accelerate literature synthesis and dossier drafting protects consulting margin and builds the reputation for thorough, defensible assessments that brings the high-value work.
ElicitClaudePerplexity
1
Use Elicit to assemble and extract from the toxicology literature for an endpoint, then read the primary studies it surfaces before relying on any finding.
2
Use Claude to draft the assessment structure and turn your findings into a regulator-ready narrative.
Copy-paste this prompt
Draft the structure of a hazard assessment for [substance] covering [endpoints]. For each endpoint, lay out the sections a regulatory reviewer expects (key studies, weight of evidence, points of departure, uncertainty), a template summary paragraph I will fill with verified data, and the reference format. Do not invent study results — leave placeholders where I must insert real data.
AI can misstate or fabricate study details — verify every data point against the primary source, and keep confidential/proprietary data in compliant systems.
What you'll haveThorough hazard reviews and dossiers delivered faster — protected margins and a reputation that draws high-value regulatory work.
Your 12-month sequence to the top of the range
How the plays above stack into a path from median pay toward the $130,000 tier.
Month 1
Build QSAR fluency on free tools (ProTox 3.0, SwissADME, EPA CompTox) and start using AI to explain endpoints and write R for dose-response.
Months 2-3
Run validated in silico screening (Derek Nexus, ADMET Predictor) on real projects and practice ICH M7 assessments.
Months 3-6
Build a defensible read-across in the OECD QSAR Toolbox and automate your benchmark-dose/risk analysis workflow.
Months 6-12
Assemble a NAM-based weight-of-evidence and position yourself as the computational/predictive-tox lead — the DABT-plus-comp-tox path to top pay.
Gear for this job
As an Amazon Associate, PayCrunch earns from qualifying purchases. Links to books and tools are for the job on this page; we only recommend what we’d use in the work.
Same live Bolstad 7th already on gis-analyst / urban-planner / forest-ranger / cartographer / hydrologist / park-ranger / archaeologist / wildlife-biologist / paleontologist / city-planner / biologist / conservation-officer / environmental-consultant / limnologist / landscape-designer / urban-forester / ornithologist / seismologist / volcanologist / petroleum-geologist / meteorologist (ASIN 0971764751). This leftover page is BLS Medical Scientists, Except Epidemiologists (SOC 19-1042); playbook names industrial exposure work and evaluating the effect of drugs, gases, pesticides and microorganisms at different levels of exposure; play 4 is Automate dose-response, PBPK, and risk; play 5 is Accelerate hazard reviews and regulatory write-ups. GIS fundamentals text for leftover industrial-exposure / pesticide / site-risk work — not leftover GISP as a card. Confirm 0971764751. Live page HTTP 200, no PC_GEAR / amazon.com/dp / tag=paycrunch-20 at 2026-09-18 1:50 AM PT. Source page: park-ranger.
Next steps for a Toxicologist
Some links below are affiliate or partner links. PayCrunch may earn a commission if you enroll or subscribe through them, at no extra cost to you. Wage figures on this page still come from the Bureau of Labor Statistics, not from these programs.
Toxicologist work is specific enough that a stamped 'check out these courses' block would be noise. BLS files this work as Medical Scientists, Except Epidemiologists (SOC 19-1042). O*NET Job Zone 5 is typical: graduate or professional school, so the honest next credential is a graduate-level or professional certificate — not a random catalog dump.
The occupation's listed knowledge areas include Biology and Medicine and Dentistry; the links search those subjects, not a generic 'career courses' list.
Toxicologists in this dataset list ESRI ArcGIS software among the tools in use, so a program that names that stack is a better fit than a survey course.
FlexJobs screens remote, hybrid, freelance, and flexible listings so you are not wading through unverified ads. This is a job-board search for Toxicologist work, not a claim that they list a counted SOC 19-1042 inventory.
Write a Toxicologist resume, or one aimed at Biochemists and Biophysicists, instead of a blank template. Resume Now is a resume builder; we are not claiming a counted template set for this SOC.
A Toxicologist resume that names the actual tasks on this page, or the step-up title Biochemists and Biophysicists, beats a blank template when you apply.
What Toxicologists earn by state
This page does not show a state table, and the reason is worth stating: the Bureau of Labor Statistics does not publish a separate wage series for this job title, so there are no official state figures to show. Scaling the national median by a cost-of-living index would produce a number for every state, but it would be an estimate of living costs wearing a wage’s clothes, and PayCrunch would rather show you nothing than that.
What the national figures say: pay starts near $52,000, the median is $86,000, and the top of the range is $160,210. Those national figures are a PayCrunch estimate, not a Bureau of Labor Statistics published wage for this exact title.
No — it's reshaping the toolkit, not removing the expert. AI predicts endpoints and fills data gaps, but defining the applicability domain, weighing conflicting evidence, judging biological plausibility, and signing a safety conclusion a regulator will accept require a trained toxicologist. As the field shifts toward in silico and NAMs, the toxicologists who master these tools become more valuable, not less.
Can I trust an in silico toxicity prediction?
Only as weight-of-evidence, inside its applicability domain, and never as proof of safety. QSAR and read-across models can be confidently wrong for structures outside their training space, and endpoints differ in how well they're modeled. Always check the applicability domain and confidence, corroborate with independent methods and expert review, and follow the governing guideline (e.g., ICH M7) for how predictions may be used.
Is it safe to use ChatGPT in toxicology work?
For learning, methods, and code — yes; for proprietary structures and definitive conclusions — no. Never paste confidential chemical structures or client data into consumer tools; use validated software in compliant environments for regulated work. And never rely on an AI's paraphrase of ICH, OECD, or EPA guidance — verify the actual document, because you're accountable to the regulator.
How does AI actually increase a toxicologist's pay?
By making you central to expensive decisions and scarce in a shifting field. Early in silico hazard flags shape go/no-go calls; defensible read-across and NAM weight-of-evidence save programs the cost and time of animal studies; and faster risk assessments and dossiers raise consulting throughput. Computational-tox fluency plus board certification is the combination behind the $130,000 tier.
Which AI skill should I build first?
In silico prediction and read-across. Get fluent on free tools (ProTox 3.0, EPA CompTox, SwissADME), then the validated ones (Derek Nexus, ADMET Predictor, OECD QSAR Toolbox). This is where the field and the regulators are heading, and it's the clearest differentiator between a staff toxicologist and a sought-after senior expert.
Methodology & sources
Salary (median, 10th, top of the range) — U.S. Bureau of Labor Statistics, OEWS.
By state — the Bureau of Labor Statistics’ own state medians, limited to states employing at least 500 people in the occupation. No cost-of-living arithmetic is applied to a wage anywhere on this page.
The plays — PayCrunch's own step-by-step guidance using publicly available AI tools. Tool names/URLs are real and current as of August 2026; prompts written to work as-is. Verify any professional output before relying on it.