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PayCrunch AI Playbook · Science

The chemist who decides what the lab buys and runs

$212,210top of the range in Massachusetts · middle $91,240 / yr
AI augments this role

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
Bachelor's or Master's degree in Chemistry
Lower disruption Higher exposure AI augments this role
Entry · $58,460 Top of range · $212,210 (Massachusetts) Middle $91,240

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 ChemistReviewed September 2026

We track new AI-tool launches every week and refresh this list — here’s what’s gaining traction for Chemist work right now.

Julius AINEWFree / $20 mo

AI data analyst that runs statistics and charts from plain-language prompts.

How a 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 a 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 a 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 a Chemist uses it: get evidence-backed answers with the studies behind them

SciSpaceFree / paid

AI that explains papers and helps with literature review.

How a 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 a 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 a 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 a 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 a Chemist uses it: draft and reply inside Google Workspace and research without leaving the page

Your notebook, the sample in front of you, and a method someone else can repeat are the center of the job when the result has your name on it. As a chemist you own the reaction and the measurement. Synthesis, analysis, and the quality call are the three rooms you move between, sometimes in a single afternoon. A degree gets you into that work. A doctorate is the usual door when the research is yours to direct.

Synthesis, analysis, and the quality call

On a synthesis day you are making something. You set up glassware or a small reactor, charge reagents, watch temperature and addition rate, and decide when the reaction is actually finished rather than merely stirred long enough. You isolate the product, dry it, and check whether you made what you meant to make. The people across the bench may be other chemists, a technician who runs the routine steps, or a formulator who needs the material to behave in a mixture. Your decision is whether the batch is good enough to hand off.

On an analysis day the product already exists and your job is to say what is in it. Chromatography, spectroscopy, wet chemistry, and titration show up in different combinations depending on the lab. You choose a method, run controls, and notice when a peak, a color, or a number refuses to match the history of that sample. Quality work is the public version of the same skill. A release decision, a stability result, or an out-of-trend investigation can stop a shipment. You write what you did so a colleague on another shift, or an auditor months later, can follow the path from sample to conclusion.

The rooms change with the employer. A pharmaceutical lab, a coatings bench, a water-quality lab, a food company, a government method lab, and a university research group all employ chemists, and the pace is different in each. What stays constant is the obligation to the result. Finish the work only when you can explain the method, the control, and the reason you trust the number. You deal with operators and engineers when a plant sample arrives, with regulatory staff when a filing needs data, and with customers when a complaint comes back as a bottle or a drum. You still own the chemistry.

You own the reaction; the plant is a different craft

Keep the boundary clear when you talk about your work. You own the reaction: the route, the method, the impurity profile, and the quality decision. A chemical engineer owns the plant: the equipment, the scale-up into production, and the operators who run the unit. You will work side by side. You will hand them a procedure that worked in glass and they will ask what happens in a jacketed vessel. That conversation goes better when each of you knows which problem is whose. If you want to spend your life on heat transfer, piping, and unit operations, you are describing engineering. If you want to spend it on molecules, methods, and whether a result is true, you are describing this job.

The overlap is real and useful. Process chemists sit close to the plant and rewrite a route so it can be manufactured. Analytical chemists build the methods that tell the plant whether a batch succeeded. Formulation chemists make a material survive in a product a customer will actually use. None of that transfers ownership of the unit to you. When a startup fails because a pump cavitated, call the engineer. When it fails because an impurity poisoned the catalyst, that call comes back to the bench.

Say which chemist you are

Hiring managers hear "chemist" and picture three different people. Tell them whether you synthesize, whether you measure, or whether you release product. A methods story and a synthesis story open different doors, and a resume that blends them into a vague love of science closes both.

A degree for the bench, a doctorate for your own research

There is no general licence to practice as a chemist. Employers treat your degree, your methods, and the record of your results as the proof. A bachelor's degree in chemistry, or a closely related chemical science, is the usual start for lab roles in quality, analysis, and supervised synthesis. A master's degree can move you toward method development or a more independent bench. A doctorate is what independent research asks for: a role where you propose the problem, design the program, and supervise other scientists. Pick the degree that matches the door you want, rather than collecting schooling with no picture of the bench it leads to.

Preparation is the lab itself. Coursework teaches the language. The proof is time at the bench under someone who will make you repeat a method until it is yours, keep a notebook a stranger can read, and defend a number you are about to release. Internships, undergraduate research, and a first job as a technician or an associate chemist all build that record. If a role mentions a professional society or a specialty certificate, read it as an extra signal of interest beside the degree. Employers still hire on the degree and on results they can audit.

When you write about that preparation, name techniques you can actually run. Gas or liquid chromatography, nuclear magnetic resonance, mass spectrometry, titrations, synthesis under inert atmosphere, stability studies, and method validation are concrete. Skip the tour of every instrument you once stood near. Describe one investigation you closed: what the sample did, what you changed, and what the lab decided because of you.

How a lab decides to bring you in

A hiring manager in a quality lab wants someone who will protect a release decision. A hiring manager in discovery wants someone who can generate ideas and still finish the experiment in front of them. Read the posting for that difference before you send the same letter everywhere. For quality and analytical roles, lead with methods, documentation, and a time you found a problem before product moved. For synthesis and research roles, lead with a reaction or a project, what failed, and what you learned from the spectral data.

The interview often includes a technical conversation and sometimes a walk through the lab. Be ready to explain a method in plain language, including how you know a result is wrong. Talk about safety on the bench as a habit: how you handle a reactive reagent, how you label a sample, how you stop when something looks off. They are listening for judgment. A perfect GPA with no story about a messy sample is less convincing than a clear account of a result you almost misread.

Ask, before you accept, who reviews your data and how a disagreement gets resolved. A lab that leaves a new chemist alone with a release decision is a lab that will blame you later. A lab that pairs you with a senior chemist, shows you its investigations, and lets you watch one audit is a lab where the first year teaches the job. Those conditions belong in the offer conversation alongside the salary, because they decide whether the role can actually make you more valuable.

First jobs carry titles like chemist, associate chemist, analytical chemist, or quality-control chemist. Research groups may hire you as a scientist only after the doctorate, or as a research associate while you are still building technique. Apply to labs whose products you can learn enough about to ask a specific question in the interview. A coatings plant and a clinical lab both need chemists, and they will notice if your examples come from the wrong kind of sample.

After the first bench, what you can grow into

A week in a mature lab has a shape worth recognizing before you accept the first offer. Monday may be samples and instrument checks. Midweek may be an investigation that started because a result drifted. Friday may be a review with manufacturing, a customer, or a study director who needs the conclusion in writing. The chemists who advance are the ones who can do the bench work and also say, in a short note, what the data allows the business to do. Practice that note while the work is still small. It becomes the habit a senior role depends on.

The early years are about becoming the person whose method other people trust. You take the routine samples, you learn the products, and you start to see the failures that repeat. Stay long enough to own one method or one product family. Leaving every few months with only a list of instruments leaves you looking junior even when the years add up.

Later paths are visible from that first lab. You can become a senior chemist who designs methods or routes and reviews other people's data. You can move into laboratory supervision, where the work is staffing, investigations, and the integrity of the quality system. You can shift toward regulatory writing, technical service for customers, or process chemistry beside a manufacturing site. With a doctorate and a publication or patent record, you can lead a research group. Some chemists move into product development and spend more time with marketing and manufacturing than with new reactions. Each of those is a real career. Choose based on whether you still want your hands on the data.

If independent research is the aim, plan the doctorate on purpose and pick an advisor whose students leave able to run a program, not only able to run one reaction. If you prefer the quality lab, depth in investigations and a calm release habit will take you further than another credential you cannot explain. Keep a small portfolio of anonymized method summaries and investigation narratives, with confidential details removed, so the next hiring manager can see how you think.

Reading a chemist offer against the published figures

Hold a chemist offer up to Chemists in the Occupational Employment and Wage Statistics release for May 2025 (SOC 19-2031), including the employment count of 82,770 for that month, a headcount for the series and separate from pay. Entry pay sits at $58,460. The median is $91,240. Pay reaches $212,210 as the Massachusetts high end of the published range, shown because that state's count was large enough for the Bureau to release a high end. The distance from entry up to the median is $32,780. From the median to that Massachusetts high end is $120,970.

Massachusetts also has a state median of $125,000, and that typical statewide pay is a different number from the $212,210 high end. Maryland shows the highest state median at $140,670, which is $49,430 above the national median. Delaware's median is $129,860, Oregon's is $104,590, and Louisiana's is $103,890. Oklahoma's median, $74,960, is the lowest state median charted here. Use a state median when the lab is in that state. Use the national median when you are comparing the offer to chemists across the country. The Massachusetts high end is the top of the published range, useful once your work is scarce and specialized, and a misleading target for a first release-testing job.

A bachelor's-level quality role near $58,460 can be a fair start if the lab will train you on its methods. Once you can develop a method, lead an investigation, or run a synthesis program with limited supervision, the $32,780 step toward $91,240 is the gap to discuss, with examples. If the offer is in Maryland, Delaware, or Massachusetts, lay that state's median beside the national median before you answer. A doctorate aimed at independent research can look toward the upper part of the range, especially in the states whose medians sit well above the national figure, and you should still separate that hope from the high end of the Massachusetts range until the role matches it. Ask whether the figure is base pay for the bench you will actually stand at.

Walk into the talk with one anchor and one story. The anchor is entry, median, or a state median, chosen because it matches your degree and the lab's location. The story is a result you owned. Chemists get paid for judgment people can audit, and the offer conversation is easier when that judgment is already on the table.

The top of Chemist pay — and how to get there with AI

$212,210what 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

A chemist in the middle of this range runs methods and instruments that other people selected; the one at the top writes the evaluation that decides which method the lab validates and which supplier it signs.

Every laboratory makes purchasing and method choices constantly — reagents and test solutions, instrument service contracts, which analytical method to develop or customise, what specification a process has to meet. Those choices are frequently made on habit or on whoever the sales representative reached first. The listed work of this occupation already puts a chemist next to all of it: preparing test solutions, compounds and reagents for others to run; maintaining instruments and troubleshooting malfunctions; compiling and analysing test information to judge operating efficiency; purchasing supplies before they expire; writing technical papers, standards and specifications. Turning that proximity into written, defended evaluations is the shift, and an assistant that reads long supplier documentation and drafts comparison tables makes it a week of work rather than a month.

Your playbook, by where you are now

Just startingKnow what the lab actually spends and breaks

  1. Keep your own record of instrument downtime, failed runs and reagent waste, since nobody else is tracking it.
  2. Learn one analytical method deeply enough to explain why it fails, not only how to run it.
  3. Set up a Microsoft Access or Microsoft Excel record of reagent lots and expiry so ordering stops being a surprise.
  4. Read the safety procedures properly and propose the two changes you would actually make.
  5. Use NotebookLM over the manuals and application notes for your main instrument, then verify anything it tells you against the printed method.

What proves it: A downtime and consumables record that makes a real cost visible to your manager.

Realistic span: the first two or three years

A few years inWrite the comparison nobody has written

  1. Run a genuine side-by-side when a method or supplier is in question: same samples, stated acceptance criteria, results written down before opinions form.
  2. Build the validation package for a method you customised, complete enough that an auditor could follow it.
  3. Take over service contract renewals and check the response times you are paying for against the log you kept.
  4. Present the comparison as a clear Microsoft Visio process diagram plus one page of numbers, so a manager can decide in five minutes.
  5. Have a model argue the supplier's case against your evaluation, then close the gaps it finds.

What proves it: A written method or supplier evaluation the laboratory acted on.

Realistic span: years four through eight

ExperiencedSign the specification

  1. Own the specifications and standards your products and processes are tested against, and be the one who defends them to a customer or regulator.
  2. Run procurement for the laboratory: write the requirement, score the demonstrations, sign the recommendation.
  3. Confer directly with the engineers on process work, so your method choices are made with the plant rather than for it.
  4. Move toward materials science, where method and formulation ownership is priced above analytical work, and note New Mexico pays chemists best.

What proves it: A purchase or a published specification made on your written recommendation.

Realistic span: year nine onward

The next 90 days

In the next ninety days, produce the document your laboratory does not have about the thing it complains about most. Usually that is an instrument that is always down or a method that keeps failing acceptance. Gather the real evidence — the maintenance log, the failed run count, the consumable spend, the hours lost — and put a number on the cost. Then test one alternative against samples with a known answer and record the result before you form a view. Four pages is enough: the problem in evidence, what you tested, what it showed, what you recommend. A chemist who can put that on a manager's desk is the one asked before the next decision, and being asked is what changes the job.

Wage figures: BLS OEWS, May 2025. The playbook is PayCrunch editorial guidance, not a guarantee of pay or placement.

Careers related to Chemist

Similar pay, same field

Where this can lead

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 IBM RXN for Chemistry (free) and run a retrosynthesis on a molecule you care about. It proposes routes, predicts products, and even drafts procedures — the fastest way to see AI change your day-to-day planning. Read every route critically: it's a starting hypothesis you verify against the literature and your own judgment, not a recipe to run.

For learning, the free stack is strong: RDKit in Python (with ChatGPT or Claude as a coding copilot) for cheminformatics, Reaxys or SciFinder through your institution for reactions and properties, and general AI for mechanism refreshers. Keep proprietary structures out of public tools.

The one rule, forever: AI-suggested routes and predictions are proposals to verify, never instructions to follow blindly — check every reaction for hazards (exotherms, incompatibilities, toxic byproducts), confirm conditions against the SDS and primary literature, and validate predictions experimentally. Keep proprietary structures and unpublished data out of public models, and never use AI to design or synthesize controlled, explosive, or chemical-weapon-relevant compounds.
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
Plan syntheses with AI retrosynthesis
Why this pays: In medicinal and process chemistry, the chemist who finds a shorter, cheaper, higher-yield route creates direct value. AI retrosynthesis multiplies the routes you can evaluate before touching a flask.
IBM RXN for ChemistrySynthiaReaxys
1
Run the target through IBM RXN (or Synthia) for candidate routes, comparing disconnections, step count, and reagent cost and availability.
2
Have AI lay the options side by side with the hazards called out.
Copy-paste this prompt
I need to synthesize [target, as a public structure or SMILES]. Propose 3 retrosynthetic routes with different strategic disconnections. For each: step count, key reactions, the likely yield-limiting step, reagent availability and cost, and the safety hazards to watch. Cite literature precedent where you can.
Every route is a hypothesis — verify precedent in Reaxys or SciFinder and assess hazards before running anything. Don't paste proprietary structures into public tools.
What you'll haveShorter, cheaper, safer routes evaluated in minutes — the process and medicinal-chemistry value that earns top-tier pay.
2
Screen and predict properties with cheminformatics
Why this pays: Screening compounds in silico before synthesis saves months of bench time — the productivity that defines high-value R&D chemists.
RDKitChempropChatGPT (Advanced Data Analysis)
1
Use RDKit (via copilot) to compute descriptors and filter a library, and train Chemprop to predict a property from your data.
2
Let the copilot write the enumeration and filtering you can tune.
Copy-paste this prompt
Write RDKit Python to load a set of SMILES, compute [logP, TPSA, molecular weight, H-bond donors/acceptors], apply [Lipinski and PAINS] filters, cluster by Murcko scaffold, and export a ranked shortlist. Comment each step so I can change the filters and thresholds.
You choose the chemistry and validate hits at the bench; the code only does the enumeration. Keep proprietary libraries in approved systems.
What you'll haveA prioritized shortlist that focuses synthesis on the best candidates — fewer wasted reactions, faster programs.
3
Interpret spectra and characterize faster
Why this pays: Structure elucidation is daily, time-consuming work. AI-assisted NMR and MS interpretation speeds characterization so you spend time on chemistry, not peak-picking.
MnovaChatGPTRDKit
1
Use NMR-prediction in Mnova to check proposed structures against your spectra, and use AI to reason through ambiguous multiplets and fragments.
2
Pressure-test whether a structure actually fits the data.
Copy-paste this prompt
I have a proposed structure [SMILES] and this NMR data: [paste shifts, multiplicities, integrations]. Do the predicted shifts fit? Identify which signals support or contradict the structure, list plausible alternative structures for the mismatches, and suggest the confirmatory experiment (which 2D NMR) to settle it.
Confirm assignments yourself — prediction guides, it doesn't prove structure. Cross-check with MS and 2D data.
What you'll haveFaster, more confident characterization — throughput that clears the bottleneck between reactions.
4
Mine reactions, patents, and literature
Why this pays: Finding the precedent, the prior art, and the known hazard fast is what separates efficient industrial chemists. AI search over chemistry corpora compresses days into minutes.
ReaxysSciFinderChatGPT
1
Use Reaxys or SciFinder for reaction and property data, and general AI to summarize mechanisms and reconcile conflicting reports.
2
Scope the methods for a transformation before you commit.
Copy-paste this prompt
Summarize the known methods to perform [a specific transformation, e.g., a selective ketone reduction] on [substrate class]: the main reagent systems, their selectivity and functional-group tolerance, typical yields, and the key hazards of each. Note which are scalable, and point me to representative references.
Verify specifics against the primary literature and SDS before use — AI summaries can blur conditions and miss hazards.
What you'll havePrecedent and prior art in minutes — the informed decisions that keep programs fast and safe.
5
Design experiments and optimize with DoE plus AI
Why this pays: Process optimization and Design of Experiments are where chemists prove ROI in manufacturing — the skills that lead to senior process and R&D roles.
ChatGPT (Advanced Data Analysis)Python (scikit-learn)JMP
1
Use AI to design a DoE for reaction optimization, then model yield against the factors after the runs.
2
Plan the design and analyze the results in one workflow.
Copy-paste this prompt
Help me design a Design of Experiments to optimize [yield] of [a reaction] as a function of [temperature, catalyst loading, solvent, time]. Recommend a design (factorial or response-surface), the run table, and how to analyze for main effects and interactions. Then, given results [attach CSV], find the optimum and propose confirmation runs.
Validate every predicted optimum with real runs and keep safety limits hard. Use non-proprietary data in public tools.
What you'll haveOptimized, well-characterized processes — the quantitative rigor behind senior process-chemistry 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
Run retrosynthesis on real targets in IBM RXN and compare its routes to your own. Learn where it helps and where it's wrong.
Months 2-3
Learn enough RDKit (with a copilot) to compute descriptors and filter a compound set yourself.
Months 3-6
Add AI-assisted spectral interpretation and literature/patent mining to your daily workflow.
Months 6-12
Run an AI-designed DoE to optimize a real reaction or process and document the yield or cost win.
Year 2
Position as the computation-fluent medicinal or process chemist — the pharma/materials R&D profile at the $212,210 tier.
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.

Niland / Elam, Fundamentals of Industrial Hygiene, 7th ed.

Same live NSC Jan 2021 FIH already on industrial-hygienist / health-inspector / asbestos-removal-worker / environmental-health-specialist / mold-remediation-specialist / automotive-painter / floor-sander / insulation-worker / painter / stucco-mason / landscaper / pest-control-technician / sandblaster / golf-course-superintendent / landscape-foreman / tile-cleaner / environmental-inspector / dry-cleaner / pressure-washer-technician / window-cleaner / rug-cleaner / power-washer / housekeeper / maid / lawn-care-specialist / car-detailer / farm-manager (ASIN 0879123567). This leftover page is BLS Chemists (SOC 19-2031) and lists Industrial Hygienist as a related career; play 1 is Plan syntheses with AI retrosynthesis; start-here is Open IBM RXN for Chemistry (free) and run a retrosynthesis on a molecule you care about; Month 1 is Run retrosynthesis on real targets in IBM RXN and compare its routes to your own; one-rule is check every reaction for hazards (exotherms, incompatibilities, toxic byproducts), confirm conditions against the SDS and primary literature. Occupational-hygiene instructional text for leftover SDS / hazard / toxic-byproduct / lab-exposure work — not leftover CIH as an exam dump and not leftover ServSafe (that is food-service). Confirm 0879123567. Live page HTTP 200, no PC_GEAR / amazon.com/dp / tag=paycrunch-20 at 2026-09-18 3:45 AM PT. Source page: pest-control-technician.

Next steps for a 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.

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.

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.

Chemistry programs on Coursera for Chemist work

Coursera search for chemistry — a professional certificate or bachelor's-level coursework that lines up with science, not a generic professional-development aisle.

Chemistry courses on edX

edX search for chemistry, aimed at science (SOC 19-2031). Same field as the Coursera link, different university catalog.

Screened remote and flexible Chemist listings on FlexJobs

FlexJobs screens remote, hybrid, freelance, and flexible listings so you are not wading through unverified ads. This is a job-board search for Chemist work, not a claim that they list a counted SOC 19-2031 inventory.

Build a Chemist resume on Resume Now

Write a 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.

Build a Chemist resume on Zety

A 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 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.
Maryland$140,670Delaware$129,860Massachusetts$125,000Oregon$104,590Louisiana$103,890Colorado$101,980Texas$99,640Minnesota$99,280

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.

Frequently asked
Will AI replace chemists?
No. AI proposes routes and predictions, but molecules are made and tested at the bench, hazards are judged by people, and results are validated by experiment. Chemistry is physical. What AI changes is speed: chemists who use retrosynthesis, cheminformatics, and DoE tools run faster, better-informed programs — and move into the higher-paid R&D roles.
Can I trust an AI-proposed synthesis route?
Only as a hypothesis. AI routes can ignore selectivity, real reagent availability, and serious hazards. Verify precedent in Reaxys or SciFinder, check every step against the SDS and primary literature, and assess safety before running anything. The route is a starting point, not a validated procedure.
I'm a bench chemist, not a coder — can I use RDKit and these tools?
Yes. A general AI copilot writes and explains the Python while you supply the chemistry, and IBM RXN, Reaxys, and NMR-prediction tools need no coding at all. Start there, then add a little RDKit for descriptor and library work — the copilot handles the syntax.
Is it safe to put my structures into these tools?
Not proprietary or unpublished ones into public models — that's IP you can't get back. Use public structures in general tools and keep proprietary work in approved, contracted platforms. And never use AI to plan controlled, explosive, or weapon-relevant syntheses; that crosses hard legal and ethical lines.
How does AI raise a chemist's pay?
The premium is for chemists who move fast from idea to validated molecule and process. AI compresses route planning, in-silico screening, characterization, and optimization — so you run leaner, faster programs and qualify for the medicinal, process, and computational R&D roles at the top of the band.
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.

Sources