The environmental chemist who automates the quality review
$212,210top of the range in Massachusetts · middle $91,240 / yr
AI augments this role
Environmental Chemists in the United States earn a median of $91,240 a year. Pay starts near $58,460. Pay reaches $212,210 at the top of the range in Massachusetts, the best-paying state for this work among those with at least 500 people in the job.
Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025 (Chemists, SOC 19-2031). Last checked 9 September 2026.
Entry level
$58,460
Top of the range · Massachusetts
$212,210
Education
Master's degree in Chemistry
Wages — U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025 (Chemists). Top of the range is the highest state-level figure among states with at least 500 people in the job. AI-impact rating is PayCrunch's editorial assessment. Updated September 2026.
🆕 New & Trending AI Tools for Environmental ChemistReviewed September 2026
We track new AI-tool launches every week and refresh this list — here’s what’s gaining traction for Environmental Chemist work right now.
Julius AINEWFree / $20 mo
AI data analyst that runs statistics and charts from plain-language prompts.
How an Environmental Chemist 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 an Environmental Chemist 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 an Environmental Chemist 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 an Environmental Chemist uses it: get evidence-backed answers with the studies behind them
SciSpaceFree / paid
AI that explains papers and helps with literature review.
How an Environmental Chemist 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 an Environmental Chemist 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 an Environmental Chemist 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 an Environmental Chemist 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 an Environmental Chemist uses it: draft and reply inside Google Workspace and research without leaving the page
The cooler shows up, and a report has to leave
An environmental chemist works in the laboratory that tests environmental samples. Water, soil, air canisters, wipes, waste, and the occasional odd material from a cleanup site arrive in coolers or shipping boxes with paperwork that says where they came from. Your product is not the sample. Your product is a result a client, a utility, or a public agency can use: a number tied to a method the lab is allowed to run, a report someone can read, and a record that shows the sample was not mixed up with the one beside it. If the paperwork and the bottle disagree, the chemistry waits.
The bench is instruments and judgment. You will live with chromatographs, spectrometers, and the smaller tests a lab still does by hand, depending on what that laboratory sells. A drinking-water bench, a wastewater bench, an air bench, and a contaminated-site bench do not look identical, even inside one company. What they share is a chemist who can prepare a batch, run it, notice when the instrument is lying, and stop before a bad result becomes a PDF. The stop is the professional part. Anyone can press start.
The day also includes the parts chemistry students sometimes skip. Logging samples. Checking holding expectations. Reviewing a data package. Answering a project manager who wants to know whether a rerun is real or wishful. Talking to a client when a result will cause them trouble and the result is still correct. Writing so a non-chemist can see what was tested and what was not. Environmental chemistry is a service inside a quality system. The personality that fits it can tolerate repetition and will still chase a result that looks too clean.
A bachelor's or a master's in chemistry
The usual preparation is a bachelor's degree in chemistry. A master's in chemistry is common for people who want method development, a technical lead role, or a laboratory that does less routine work. Either degree is evidence that you have studied the science the instruments assume: how substances behave, how measurements fail, and how to think about a result instead of only how to follow a card. Coursework in analytical chemistry is the part employers circle. Environmental science degrees can open adjacent jobs. For this seat, the chemistry degree is the straight path.
There is no national chemist licence that gates the title. What stands in its place, for many environmental labs, is the laboratory's own approval to do the work and, for some drinking-water or wastewater testing, a state or program recognition that the analyst or the laboratory met that program's rules. Those recognitions vary. Check the laboratory and the state if the posting is regulatory water testing. Do not assume a diploma from a chemistry department is the only document a client auditor will ask to see, and do not assume a stack of short courses replaces the degree when the posting asks for chemistry.
What hiring managers want the degree to prove is narrower than the whole of chemistry. They want someone who can learn a method, keep a notebook or an electronic record another chemist can follow, and explain a strange result without drama. Internships and undergraduate research help when they are real lab time, not a tour. Name the instruments you have used. Name the kind of samples. If your experience is organic synthesis or a theoretical project, say so, and show the analytical courses and any lab job that moved you toward measurement. Pretending a research poster was a production laboratory is how people get hired into a job they dislike in the first month.
Safety culture is part of preparation, and it stays at the level of habits rather than recipes. You will handle acids, solvents, and samples that may themselves be hazardous. The laboratory trains you on its procedures, its protective equipment, and its waste rules. Learn those from the lab. A career sketch is the wrong place to collect them, and a job interview is the right place to ask how the lab trains new chemists and who is allowed to stop a batch. The chemist who can say "I will follow your system and I will speak up when it looks wrong" is the chemist supervisors trust with a cooler.
Life on an environmental bench
A routine day has a shape. You look at the log of what arrived. You confirm the samples match the chain-of-custody paperwork. You set up the batch the method requires, including the checks the quality system demands, and you run it. You watch the instrument instead of assuming the software is wise. You review the output, you flag what failed the lab's checks, and you either rerun, report, or take the problem to a senior chemist. Then you move to the next batch, or you review someone else's package, or you call a project manager about a sample that cannot be tested as submitted.
None of that requires a public recipe. The methods live in the laboratory's documents, in the program that approved them, and in the training only that lab can give you. Clients sometimes ask a new chemist to freelance a clever shortcut. That is a good way to lose the laboratory's approval and a bad way to impress a quality manager. Your discretion is about whether the data are fit to report, not about inventing a new procedure at the bench because a deadline is ugly.
The clients shape the stress. A consulting firm wants results in time for a report. A utility wants to know if finished water met its limits. A manufacturer wants waste characterized before it leaves the site. A public lab may support inspectors and health programs rather than private projects. Turnaround promises are part of the business, and so are the moments you tell a project manager the promise cannot be kept because the sample or the instrument will not support it. People who only say yes become the reason a lab issues a correction later. People who only say no become the reason the lab loses the work. The job is knowing which day it is.
Documentation is half the occupation. If you did not record it, the laboratory did not do it, at least in the eyes of an auditor. You will be audited. Internal quality staff, clients, and outside programs will read your batches. Write as if a stranger will reconstruct the day. That habit, more than a clever interpretation, is what moves someone from a junior bench to the person allowed to sign.
Who hires, and how they choose
Commercial environmental laboratories hire the largest number of these seats. They may be national networks or regional shops with a handful of chemists and a fleet of vans. Municipal and utility laboratories hire people whose samples come from one system: drinking water, wastewater, or both. Public-health and environmental-agency laboratories hire chemists whose results support programs rather than invoices. Industrial plants sometimes keep a small lab for their own waste and process streams. The title can look the same on all four doors. The pace and the definition of a good week do not.
Interviews are practical. Expect to walk through a result that looked wrong and what you did. Expect to be asked how you keep records, how you handle a missed holding window, and how you talk to a non-chemist. A hiring manager may show you a simple data table and ask what you would question before you reported it. They are listening for caution and for clear speech. They are also listening for whether you have ever been responsible for a batch someone else had to defend.
Ask your own practical things. Which matrices and which instruments you would actually touch in the first year. Whether the lab is approved for the work it is selling. How quality review works and who signs. What the turnaround pressure really is. Whether overtime is ordinary or a symptom of a broken schedule. Whether a master's changes the seat or only the resume. A laboratory that cannot describe its quality system in plain language is a laboratory that will hand you the blame when an auditor arrives.
New graduates get hired when they can show lab hands and a humble estimate of what they still need to learn. Mid-career hires get hired when they can name methods and instruments without turning the interview into a performance, and when a former supervisor will say their data survived review. Either person should be ready to start inside someone else's system. The fastest way to stall a new job is to announce that your last lab did it better, before you have learned why this one does it this way.
Bench chemist, reviewer, technical lead
The first role is the bench. You run assigned methods under a senior chemist. You learn the instruments you will be trusted with, and you learn the failures those instruments prefer. The goal is not to touch every machine in the building. The goal is to become the person who can be left with a method and a full batch, and whose package comes back with ordinary comments rather than a rewrite.
The next role is review and technical ownership. You check other people's data. You talk to clients about what a result means and what it does not mean. You help decide when a method is in control. Some chemists become the technical director or the quality manager, which is less bench and more system: audits, approvals, training, and the arguments with project management about what the lab should promise. Some move to a consulting firm and interpret data they no longer generate. Some go back to school. The through-line is a reputation for results that hold up when somebody else reads them slowly.
Choose a matrix early enough to get good, and late enough to know you can stand it. Air methods, metals, organics in water, and waste characterization are different crafts that share a degree. A chemist who has only watched one of them can still move, but the move costs time and humility. If you want the upper part of the pay distribution, technical leadership and scarce instrument depth matter more than a vague claim that you like the environment. The figures in the next section are the map, with one caution about how wide the Bureau's title is.
Pay for the environmental bench
These figures are Occupational Employment and Wage Statistics for May 2025, for Chemists. The series is broader than the environmental laboratory seat. It includes chemists in other industries, so use it as the closest published picture. Entry pay is $58,460. The national median is $91,240. That published high end is $212,210 in Massachusetts, where the published workforce supported a high end. Massachusetts also has a median, and it is a different statistic: $125,000. The high end of $212,210 and the state median of $125,000 should never be swapped in a sentence.
Entry to the national median is $32,780. The national median to the Massachusetts high end is $120,970. The national median to the highest state median is $49,430, and that highest median is Maryland at $140,670, not the Massachusetts median. An offer at $58,460 matches the entry figure. An offer at $91,240 matches the national middle. An offer at $140,670 matches Maryland's median. An offer decorated with $212,210 is being compared with a high end in Massachusetts, not with what chemists in that state typically earn and not with this lab's local middle unless the employer can show the connection.
Other published state medians are Delaware at $129,860, Massachusetts at $125,000, Oregon at $104,590, and Louisiana at $103,890. Delaware and Massachusetts sit well above the national median. Oregon and Louisiana sit closer to it, still above. The lowest published state median is Oklahoma at $74,960. The gap between Maryland's median and Oklahoma's median is $65,710. Oklahoma's median is above the entry figure and below the national median. If you are choosing between a Maryland lab and an Oklahoma lab, that gap is the published spread in the middle, separate from the $212,210 high end.
Negotiate inside the series you were given
Put $58,460, $91,240, and the state median on the table. A Delaware offer should be read against $129,860. An Oregon offer should be read against $104,590. A Massachusetts offer should be read against the median of $125,000, while $212,210 stays labeled as the high end. Because the series covers chemists beyond environmental labs, do not claim the top of it belongs automatically to this bench. Claim that your offer should make sense for a chemist who can run, review, and defend environmental data. If you sign reports or own an instrument line, say that, and ask why the number sits at the entry figure instead of near the median.
A new chemist near $58,460 is in the entry neighborhood, $32,780 below the national middle. A chemist who already reviews data and can be left with a method should be having a conversation around $91,240, adjusted for the state. Maryland at $140,670 and Delaware at $129,860 show how far a state median can sit above that national middle. Oklahoma at $74,960 shows a published middle that does not clear it. Ask the laboratory which of those stories it is telling, and ask it with the dollars written down. The cooler will still arrive on Monday either way. The offer should say whether the lab is hiring the bottom of the published distribution or someone it expects to stand behind the report.
The top of Environmental Chemist pay — and how to get there with AI
$212,210what Environmental Chemist pay reaches in Massachusetts
Highest state-level top-of-range annual wage for Chemists, among states with at least 500 people in the job. U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025.
And the role it leads to — Materials Scientists — reaches $300,330 in California.
$58,460entry$91,240middle$212,210top end
The gap between the middle and the top of this range is not bench technique; it is whether you built the thing that reviews the laboratory's data, or whether you are still reviewing it a page at a time.
Compiling and analysing test information to judge whether a process or an instrument is working properly, maintaining instruments and troubleshooting when they are not, and writing the standards and specifications that say what a result must satisfy: all three point at the same unbuilt tool. Every batch has to be checked for holding times, method blanks, surrogate and spike recovery, and calibration drift, and in most laboratories a chemist does that by scrolling. Writing something that reads the instrument export, applies the acceptance criteria and drafts the case narrative turns a two-day chore into an hour, and puts the person who wrote it in charge of what acceptable means. New Mexico pays this occupation best.
Your playbook, by where you are now
Just startingUnderstand the checking before you replace it
Do the batch review manually for long enough to know which criteria actually catch problems and which never fire.
Keep a record of every reagent and test solution you prepare, with lot and expiry, so ordering stops being reactive.
Write down the failure signatures of your main instrument, what drift looks like before it becomes a rejected run.
Read your laboratory's safety procedures with an eye to the two you would genuinely change, and propose them.
Ask Claude to explain an unfamiliar acceptance criterion in the method, then confirm it against the published method text.
What proves it: A written description of your instrument's failure modes that a colleague uses for troubleshooting.
Realistic span: your first two or three years
A few years inWrite the checker
Start in Microsoft Excel with Microsoft Visual Basic behind it, reading one instrument's export and flagging every criterion breach.
Move the batch history into Microsoft Access so trends across months become visible instead of anecdotal.
Draw the whole data path in Microsoft Visio, sample receipt to report, and mark every point where a result can be silently altered.
Have the checker draft the case narrative text, then read every sentence before it leaves the laboratory.
Write the code with ChatGPT as a second pair of eyes, and test it against batches whose correct answer you already know.
What proves it: A review tool the laboratory runs on real batches, with a validation record behind it.
Realistic span: years three through seven
ExperiencedSet the criteria, not just the code
Own the specifications and standards your reports are judged against, and defend them to a client or a regulator.
Extend the tool to compare methods when you develop or customise one, so improvement claims come with evidence.
Confer with the engineers on process work, since a method that ignores how the plant runs will keep failing.
Publish the approach as a technical paper, which is how a laboratory tool becomes a professional reputation.
Move toward materials work, where method ownership carries more than analytical throughput does.
What proves it: An acceptance standard you authored that the laboratory operates under.
Realistic span: eight years onward
The next 90 days
Take one method you run constantly and time yourself doing its batch review by hand. Then write down, precisely, every check you perform and the exact rule behind each one. Most chemists find this harder than expected, because several of the checks are habits nobody ever wrote as a rule. That written list is the specification for the tool, and it is worth more than the code. Build the first version against a single instrument export, run it beside your manual review for a month, and record every disagreement between the two. The disagreements are where the real learning is, and a chemist who can explain them is the one asked to define what the laboratory accepts.
Wage figures: BLS OEWS, May 2025. 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).
Open your data with Python (pandas) or R first, driven by Claude. The biggest immediate win for an environmental chemist is automating the tedious, error-prone parts of data handling — QA/QC checks, blank and spike recovery calculations, unit conversions, and report tables — with scripts an AI writes and you verify. That reliability compounds on every project.
For unknowns and toxicity, learn mzMine for non-target mass-spec processing and the free EPA CompTox Chemicals Dashboard for property and hazard data. Use Elicit or Consensus for the literature. Keep client and litigation data in approved systems, not public AI tools.
The one rule, forever: AI never touches the defensibility of a result — every reported concentration must come from validated methods, proper QA/QC, and documented chain of custody, not a model's guess. Use AI to prioritize and interpret, never to fabricate, extrapolate, or fill missing values; flag AI-suggested identifications as tentative until confirmed by standards; and keep client and litigation data confidential and out of consumer tools.
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
Mine mass-spec data for unknowns with non-target analysis
Why this pays: Non-target and suspect screening — finding contaminants of emerging concern nobody was specifically looking for — is the frontier of environmental chemistry and where premium, specialized work sits. A chemist who can run and interpret it is worth far more than one limited to routine target lists.
mzMineEPA CompTox DashboardPython
1
Process high-resolution LC-MS runs in mzMine for feature detection and alignment, then use suspect lists and the CompTox Dashboard to prioritize candidate identifications for confirmation with standards.
2
Use AI to script the data wrangling and prioritization around the workflow.
Copy-paste this prompt
Write annotated Python (pandas) code to post-process a non-target LC-MS feature table exported from mzMine: filter features below a signal-to-noise and blank-ratio threshold I set, annotate features by matching accurate mass (within [5 ppm]) against a suspect list CSV, rank candidates by match quality, and output a shortlist for confirmation with a clear 'tentative — needs standard' label on every row.
Non-target IDs are tentative until confirmed with authentic standards. Never report a compound as present on accurate-mass or library match alone.
What you'll haveThe ability to find and prioritize unknown contaminants — the specialized, high-demand skill behind pay at the top of the range.
2
Predict toxicity and properties before you test
Why this pays: Being able to estimate a compound's toxicity, environmental fate, and behavior early focuses expensive analysis where it matters and adds risk-assessment value clients pay for. Chemists who bridge analysis and risk command higher, consulting-grade rates.
EPA CompTox DashboardEPI SuiteClaude
1
Use the CompTox Dashboard and EPI Suite to pull or estimate physicochemical properties, environmental fate, and hazard data for a compound, then sanity-check against measured data where available.
2
Have AI explain and structure the property/fate reasoning so you can communicate it in a report.
Copy-paste this prompt
For the compound [name/CAS], summarize what its estimated properties (log Kow, water solubility, half-life, bioaccumulation potential) imply for its environmental fate and human/ecological exposure pathways in a [groundwater plume near a residential area] scenario. Note the biggest uncertainties in the predictions and what measured data I'd need to confirm them. General assessment, not a site determination.
QSAR and estimated properties carry real uncertainty and don't replace site-specific data. Verify predictions against measurements before they inform any conclusion.
What you'll haveEarly, defensible risk framing that focuses your analysis and adds consulting-grade value to every project.
3
Automate QA/QC and reporting so data is bulletproof
Why this pays: Environmental data lives or dies on QA/QC and defensibility — a single missed blank contamination or transcription error can invalidate a report or lose a case. Automating those checks makes you faster and more reliable, the reputation that wins repeat, high-value work.
Python (pandas)RClaude
1
Use Claude to build a Python QA/QC script that flags failures automatically, then verify its logic against your QAPP before trusting it.
2
Generate a reusable QC-check tool for your standard method.
Copy-paste this prompt
Write annotated Python (pandas) that ingests a batch of analytical results with columns: sample_id, analyte, result, units, method_blank, matrix_spike_recovery, surrogate_recovery, dilution, reporting_limit. Flag any result where the method blank exceeds [1/2 the reporting limit], spike or surrogate recovery falls outside [70-130%], or a result is below the reporting limit, and output a QA/QC exception report. Do not alter or impute any values.
The script flags issues for your review; it must never edit, impute, or 'correct' a measured value. You own QA/QC and chain-of-custody integrity.
What you'll haveFaster turnaround with airtight QA/QC — the defensibility and reliability that earn repeat, litigation-grade work.
4
Develop and troubleshoot methods faster
Why this pays: Method development and troubleshooting — getting a clean, sensitive, validated method for a tough analyte and matrix — is skilled work that separates senior chemists. AI accelerates the reasoning and literature search so you solve method problems faster.
ClaudeElicitChemDraw
1
Use Elicit to pull published methods for your analyte and matrix, and Claude to reason through likely causes when a method underperforms, then test the hypotheses at the bench.
2
Structure a systematic troubleshooting plan instead of guessing.
Copy-paste this prompt
Act as an analytical method-development advisor. I'm seeing [poor recovery and matrix interference] analyzing [PFAS in soil by LC-MS/MS]. Walk me through a structured troubleshooting sequence: likely causes ranked by probability, the diagnostic test for each, sample-prep and cleanup options to try, and how to validate the fix (accuracy, precision, MDL). Cite the general method basis; I'll verify against the actual EPA method.
AI reasoning is a starting hypothesis. Confirm every method change with validation data and the governing published method (e.g., the relevant EPA method) before use.
What you'll haveFaster, more systematic method development and troubleshooting — the senior skill that raises your rate and role.
5
Turn results into clear, regulatory-ready reporting
Why this pays: Clients and regulators pay for conclusions they can act on, not raw data. A chemist who can translate complex results into clear, correct, regulation-aware narrative — fast — becomes the one who owns the deliverable and the client relationship.
ClaudePerplexityPython (matplotlib)
1
Use Claude to draft the results narrative from your verified data tables and Python to generate clean figures, keeping every number and regulatory citation under your control.
2
Draft a defensible interpretation section you then fact-check.
Copy-paste this prompt
Draft a results-interpretation section for an environmental report from this verified data summary: [PASTE NON-CONFIDENTIAL SUMMARY of analyte concentrations vs. screening levels]. Compare results to the relevant screening levels I specify, describe exceedances and spatial patterns plainly, state data-quality caveats, and avoid overstating conclusions. Leave every specific regulatory threshold and citation as a placeholder for me to fill and verify.
Verify every regulatory value and citation against the primary source, and keep client and litigation data out of consumer tools. AI drafts language, not conclusions.
What you'll haveClear, defensible reporting delivered fast — owning the deliverable and the client relationship that drive senior pay.
Your 12-month sequence to the top of the range
How the plays above stack into a path from median pay toward the $212,210 tier.
Month 1
Automate your QA/QC and reporting-table work with AI-written Python or R scripts you validate against your QAPP.
Months 2-3
Learn mzMine and the CompTox Dashboard, and run a non-target or suspect-screening workflow on a real dataset.
Months 3-6
Add toxicity/fate prediction to your risk framing and use AI to speed method troubleshooting on a hard analyte.
Months 6-12
Own the reporting deliverable end to end and position yourself as the lab's PFAS/emerging-contaminant or non-target specialist.
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 O’Reilly 3rd already on data-scientist / python-developer / market-research-analyst. This page opens with Open your data with Python (pandas) or R first and names Python (pandas) as a play tool for QA/QC automation. Not CompTIA Data+ and not leftover Ross Exam P (that is actuary).
Next steps for an Environmental Chemist
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.
Environmental Chemist work is specific enough that a stamped 'check out these courses' block would be noise. BLS files this work as Chemists (SOC 19-2031). O*NET Job Zone 4 is typical: a bachelor's degree, so the honest next credential is a professional certificate or bachelor's-level coursework — not a random catalog dump.
The occupation's listed knowledge areas include Chemistry and Production and Processing; the links search those subjects, not a generic 'career courses' list.
Environmental Chemists in this dataset list C among the tools in use, so a program that names that stack is a better fit than a survey course.
Coursera search for chemistry — a professional certificate or bachelor's-level coursework that lines up with science, not a generic professional-development aisle.
FlexJobs screens remote, hybrid, freelance, and flexible listings so you are not wading through unverified ads. This is a job-board search for Environmental Chemist work, not a claim that they list a counted SOC 19-2031 inventory.
Write an Environmental Chemist resume, or one aimed at Materials Scientists, instead of a blank template. Resume Now is a resume builder; we are not claiming a counted template set for this SOC.
An Environmental Chemist resume that names the actual tasks on this page, or the step-up title Materials Scientists, beats a blank template when you apply.
What Environmental Chemists earn by state
These are the Bureau of Labor Statistics’ own figures for Chemists, state by state — not a cost-of-living adjustment applied to the national number. Only states employing at least 500 people in the occupation are shown, because a state median drawn from a handful of workers is noise rather than a signal.
Maryland
$140,670
highest of them · +54% vs the national median
Oklahoma
$74,960
lowest of the 34 states and territories that qualify · -18% vs the national median
The same job pays $65,710 more a year at the median in Maryland than in Oklahoma — 88% higher. That gap is what the Bureau measured, before any question of what it costs to live in either place. The top-of-range figure quoted at the head of this page, $212,210, is a different statistic in a different place: it is the 90th-percentile wage in Massachusetts. The state that pays the typical worker most and the state where the best-paid go highest are not always the same one.
Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025, SOC 19-2031. 34 states and territories clear the 500-employee reporting floor for this occupation; those below it are left out rather than shown with a wide error band.
Free data. Use any of it.
PayCrunch publishes verified, BLS-sourced salary + AI-playbook data on 1,000+ professions — free, no signup.
No. AI accelerates data mining, prediction, and reporting, but it can't run a validated method, maintain chain of custody, catch the contamination that invalidates a batch, or defend a number to a regulator or in court. Analytical judgment and accountability are the job. Chemists who adopt AI find more, faster, and take on the hardest problems; those who don't stay limited to routine work.
Can I report a compound that AI or a library flagged as present?
Not as confirmed. Accurate-mass matches, library hits, and suspect-screening results are tentative identifications only. Environmental chemistry requires confirmation with authentic standards and proper QA/QC before you report a compound as present. Use AI to prioritize what to confirm, never to skip confirmation.
Is it safe to put analytical or client data into ChatGPT?
Not confidential or litigation data. Environmental results are often tied to legal, regulatory, and confidential matters. Use general AI tools to write and debug code, reason about generic chemistry, and draft language from de-identified summaries, and keep actual client data and case information in your lab's approved, access-controlled systems.
How does AI actually increase an environmental chemist's pay?
By moving you toward the specialized, high-demand work and making you more reliable. Non-target analysis, emerging-contaminant work, and toxicity-informed risk framing are premium services, and AI accelerates the data mining and interpretation behind them. Automated QA/QC builds the defensibility reputation that wins repeat, litigation-grade contracts.
Do I need to code to use AI in environmental chemistry?
Basic scripting helps enormously, and it's very learnable now. Claude and similar tools will write and explain Python and R for QA/QC automation and data mining, so you can run real workflows while building fluency. Start by automating one repetitive QC or reporting task and verifying the output against work you'd do by hand.
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.