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Biochemists who own the instrument decision

$222,850top of the range in Texas · middle $127,410 / yr
AI is transforming this role

Biochemists in the United States earn a median of $127,410 a year. Pay starts near $74,290. Pay reaches $222,850 at the top of the range in Texas, 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 (Biochemists and Biophysicists, SOC 19-1021). Last checked 9 September 2026.

Entry level
$74,290
Top of the range · Texas
$222,850
Education
Doctoral degree in Biochemistry
Lower disruption Higher exposure AI is transforming this role
Entry · $74,290 Top of range · $222,850 (Texas) Middle $127,410

Wages — U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025 (Biochemists and Biophysicists). 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 BiochemistReviewed September 2026

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

Julius AINEWFree / $20 mo

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

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

SciSpaceFree / paid

AI that explains papers and helps with literature review.

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

The cold-room door sticks, and the biochemist goes in anyway for a fraction that has to stay cold. The gel from the morning run is already on the light box. One band is where the protein should be, and a smear below it says the purification is only half done. The rest of the lab will ask for a number at the group meeting. The honest number is that the prep needs another step. Living chemistry is full of mornings like that: a molecule, a method, and a decision to trust the result or repeat it.

The gel that decides the rest of the morning

Biochemists study the chemistry of living things. The day is assays, purifications, and the interpretation of what a molecule did under conditions you chose. Proteins, enzymes, nucleic acids, lipids, and metabolites are the materials. You might measure how fast an enzyme works when a substrate changes, pull a protein out of a cell lysate, check a structure with a method the lab has validated, or follow a pathway by watching what builds up when one step is blocked. Biophysicists share this Bureau series and often share the lab: they lean toward physical measurement of those same molecules. A hiring group may want both habits in one person or may split them across a bench.

Places are university departments, pharmaceutical and biotech labs, government research centers, and hospital research floors where the question is still the molecule. Tools are pipettes, chromatography systems, spectrometers, plate readers, freezers that alarm at the wrong temperature, electronic notebooks, and the shared instruments you have to book. The people are research assistants, graduate students, a principal investigator, and collaborators who need your result before their own experiment can move. You also deal with core facilities when the measurement needs a machine your group does not own. The decision that repeats is whether the data are clean enough to build on. A pretty figure from a contaminated prep wastes the next month.

A normal week mixes hands-on work with writing. You plan the week's preps so reagents and instrument time line up. You run controls that would show you if the assay drifted. You sit in lab meeting and defend why a replicate was dropped, or why it must stay in the figure. Industry weeks add project timelines and a handoff to a team that will use your method in a screen or a process. Academic weeks add teaching support, mentoring, and the slow work of a paper. In both places the craft is the same: you can say what the molecule did, what you held constant, and what you would not claim.

This occupation stays with the chemistry of life. A biomedical researcher on a neighboring page is aimed at illness and at carrying a result toward patient care. A biochemist may support that aim, and many do, but the seat described here is the mechanism: binding, catalysis, structure, and the pathway. If your joy is the clinic's question about a patient population, read the medical-scientist path. If your joy is whether the enzyme actually turned over, you are in the right series. Say that distinction in a cover letter so a committee does not have to guess which lab you are asking to join.

Where the May 2025 figures come from

Pay published here follows Biochemists and Biophysicists, SOC 19-1021, in the Bureau of Labor Statistics Occupational Employment and Wage Statistics data for May 2025. Employment in that series for May 2025 is 33,830. Use 33,830 as a headcount of wage-and-salary jobs in the series, separate from any offer in front of you. It tells you the occupation is a real national workforce, spread across universities, companies, and government labs. Keep that headcount apart from the wage. Name the title once when you explain which chart you are holding. Biophysics roles that employers post under a different banner can still fall in this series. Quote it for work that matches the chemistry and the measurement, and leave it alone for a purely clinical or purely computational seat with its own page.

Bench seats, and the doctorate that leads a program

Degree in place of a licence

No licence governs this work. Independent research usually waits on a doctorate. A bachelor's or a master's degree opens many bench seats. Employers then look at the experiments you have already run and the notebook someone else can follow.

A bachelor's in biochemistry, chemistry, biology, or a close field can put you on a bench as a research assistant or a technician who carries methods. A master's often marks the person trusted to develop an assay, troubleshoot a purification, and train a newer hire. A doctorate is how people become the scientist who chooses what the project will pursue, writes the proposals, and answers for the interpretation. Independent research, the kind that defines a program, clusters on the doctorate. Many valuable jobs never require that step. Read the posting's degree line. When the posting demands a doctorate, take that line seriously. If it says bachelor's or master's with laboratory experience, gather the experience in supervised work rather than waiting for a degree the job did not ask for.

Preparation is the degree plus time in a working lab. Supervised practice means a senior scientist or a principal investigator signs the design and teaches you why a control exists. Your portfolio can be a thesis chapter, a methods write-up with confidential details removed, a poster, or a figure you can redraw from memory and explain. In an interview, be ready to say what failed. Purification stories that only succeed are less persuasive than a story in which you found the contaminant and changed the step. Committees hiring scientists have all had a gel go wrong. They are listening for whether you noticed.

Professional certificates in laboratory techniques exist around this field and can help a new graduate show instrument familiarity. They are optional signals from the groups that issue them. They do not replace the degree a research seat listed, and they are not a licence. If you earn one, keep it beside a record of experiments. Safety training the institution requires, for chemicals and for biological materials, is part of being allowed in the room. Complete it. It is employer and campus training, not a national credential that by itself makes you a biochemist.

How a lab decides to bring someone in

Universities, drug and biotech companies, government laboratories, and research hospitals all hire into this series. The application should name a molecule class or a method: protein biochemistry, enzyme kinetics, structural methods, metabolomics, nucleic-acid chemistry. Pick the door your hands know, then show one step toward the door you want. A chemist who has added a semester of protein work is easier to place than a chemist who likes biology only as an idea. A biologist who can run a quantitative assay is easier to place than a biologist who has never kept a buffer notebook.

Ask who owns the project and who will teach the method you do not yet know. A research-assistant seat in a group with a real scientific lead is how people learn. A seat that is only labor, with no one reading the data, teaches speed and little judgment. For a scientist seat, ask what you would be expected to finish in the first year: a method, a paper, a screen, an internal report. For industry, ask whether the role is discovery, process development, or analytical support, because the week and the pay logic differ. Analytical support can be an excellent bench. Call it what it is so you compare the offer with the right kind of responsibility.

References should be scientists who have seen your data. A professor, a staff scientist, or an industry mentor who can describe a mistake you caught will help more than praise for your work ethic alone. Bring a one-page sketch of an experiment to interviews that use a whiteboard. Drawing the controls is more persuasive than a speech about passion for science. If you are changing fields, say what you will need to learn in the first months, and say what you already do well enough to contribute while you learn. Hiring committees trust that candor.

Research assistant, scientist, principal investigator

The path that matches this occupation runs from research assistant to scientist to principal investigator. A research assistant or technician keeps the methods alive, protects the samples, and produces data someone else designed. A scientist designs experiments, interprets them, and begins to set the direction of a project. A principal investigator chooses the program, mentors the group, and carries the relationship with funders or with company leadership. Industry titles vary. Senior scientist and group leader often play the later roles without the academic words. The substance is the same: whose name is on the scientific decision.

Movement along that path follows finished work. An assistant who can already write a method and notice a failed control is the one scientists trust with design. A scientist who can justify the next experiment, and who can still do the bench when it matters, is the one considered for a program of their own. Keep a list of projects, your role in each, and the claim the result could support. That list is the promotion conversation and the next resume. If the list is only tasks, you are still in the assistant story, which is real work and should be paid as such until the design responsibility is actually yours. A doctorate is the common door into the principal investigator chair. A strong master's record can carry far in industry. Look at the chair you want before you assume every step requires the same degree.

Texas at the high end, California as typical pay

The entry figure is $74,290. The national median is $127,410. Between them sits $53,120. Texas supplies the top of the range shown here, $222,850, in places where the Bureau had enough people in this occupation to release a number. From the national median to that Texas high end is $95,440. California's median, typical pay in that state and a different kind of number from any high end, is $139,580, which is $12,170 above the national median. Pennsylvania's median is $134,090. Connecticut's median is $132,670. Massachusetts' median is $131,600. New Jersey's median is $122,620. Use a state median for typical pay in that state. Use $222,850 only for the high end of the range in Texas. Texas is the state named for that high end. California leads the medians printed on this page. Those are separate facts, and mixing them makes an offer sound larger or smaller than the chart allows.

Tie each gap to a real seat. A new research assistant or a bachelor's-level bench hire should set the offer next to $74,290. The $53,120 up to $127,410 is the long step that usually contains a finished advanced degree, independent assays, and a scientist title. Do not open a technician negotiation at the median unless you already design the work. A working scientist can anchor on $127,410, then on the median for California, Pennsylvania, Connecticut, Massachusetts, or New Jersey when the job is actually there. The $12,170 from the national median to California's $139,580 is the right distance when you mean typical California pay. The $95,440 from the national median to $222,850 belongs with principal-investigator scope, a scarce technical specialty, or a senior industry scientist whose methods carry a program. It is the wrong opener for a first postdoctoral-style bench or a new master's hire.

Keep the script inside the printed dollars. For an assistant role, compare with $74,290 and ask which responsibilities would justify movement across the $53,120: a method only you can run, supervision of junior staff, or authorship on the science rather than hands alone. For a scientist role, start at $127,410 and add the state median only when you are discussing typical pay in one of the five states listed. For a principal investigator or a comparable industry lead in Texas, you may discuss how far the role sits along the $95,440 between the national median and $222,850. Ask the employer which description they intend. The May 2025 headcount of 33,830 can explain that this is a national workforce. It should not be added into the salary arithmetic. The chart's wage set is entry, median, the Texas high end, the five state medians plus three gaps the page has already calculated.

Carry into the first month the habit of writing down a result the day you take it, and the refusal to claim a mechanism the gel did not show. You are aiming at research assistant, then scientist, then principal investigator, or at the industry titles that hold the same responsibilities. A doctorate opens independent research. A bachelor's or a master's opens many benches. Employers treat the degree and the experiments as the gate along this path. When an offer comes, set it beside $74,290, beside $127,410, and beside either California's median or Texas's high end only after you know which of those two ideas you mean.

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

$222,850what Biochemist pay reaches in Texas

Highest state-level top-of-range annual wage for Biochemists and Biophysicists, 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 — Physicists — reaches $296,740 in California.

$74,290entry$127,410middle$222,850top end

A biochemist in the middle of this range runs the method someone else selected; the one at the top of the range writes the evaluation that commits a department to an instrument, a software stack, and a way of working for years.

Studying spatial configurations of proteins with x-rays or electron microscopes, tracing transformations of substances in cells using atomic isotopes, and testing the chemical effects of drugs or hormones on tissues all rest on choices made before the first sample: which detector, which processing package, which analysis path. Those choices usually get made badly, by whoever argues loudest. A biochemist who benchmarks properly, writes the comparison down, and defends it becomes the person consulted on every purchase afterwards. That reputation carries into grant proposals too, where reviewers want to see a method that was chosen rather than inherited.

Your playbook, by where you are now

Just startingBenchmark before you believe

  1. Take one dataset you already understand, run it down two processing paths, and write out where they disagree and why.
  2. Learn enough Python on Linux to reprocess your own microscopy or diffraction data without waiting in the core facility queue.
  3. Rebuild one published figure from its deposited data before trusting the conclusion built on top of it.
  4. Record instrument time, failure modes, and consumable cost for every run you do, because nobody else in the group is doing it.

What proves it: A short comparison memo, backed by data, that changed how one experiment gets run.

Realistic span: the first two years at the bench

A few years inWrite the evaluation that decides

  1. Run a genuine head-to-head when the group is weighing software, Accelrys Insight II against whatever else is on the table, same sample, stated pass criterion.
  2. Keep deconvolution and image handling reproducible by scripting it rather than clicking through AutoQuant AutoDeblur and Adobe Photoshop.
  3. Ask a model to poke holes in your statistical plan before the study runs, then verify every objection yourself in IBM SPSS Statistics.
  4. Draw the method comparison as a Microsoft Visio diagram a principal investigator can absorb in a minute.
  5. Put the tooling section of your next grant proposal in front of somebody who has reviewed grants, and rewrite until they agree the choice is justified.

What proves it: A vendor or method evaluation the department acted on.

Realistic span: years three through seven

ExperiencedSet the group's method stack

  1. Own procurement end to end: write the specification, run the demonstrations, score them, sign the recommendation.
  2. Teach the stack. Supervise students on it, and make the training material the reason the choice sticks after you move on.
  3. Use NotebookLM across gathered vendor documentation and literature so your evaluation cites what was measured rather than what was claimed.
  4. Move toward the physics-heavy end of this field, where instrumentation expertise pays above the bench, and note that Florida employers pay biochemists most.

What proves it: An instrument or platform purchase made on your written recommendation.

Realistic span: senior scientist onward

The next 90 days

Pick the equipment or software your group complains about most and spend ninety days producing the document nobody has written: what it is genuinely used for, what a run costs including failed runs, what the alternatives are, and what switching would cost. Take the numbers from the booking log and the consumables orders, not from opinion. Test one alternative against a sample you already have a trusted answer for. Then write four pages with the comparison table first and your recommendation last. Whether or not the purchase happens, a biochemist who can produce that document is the one asked next time, and being asked repeatedly is how the top of this range gets reached.

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

Careers related to Biochemist

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).

Start with AlphaFold; it changed the field. Look up structures in the AlphaFold Protein Structure Database, and run AlphaFold 3 for complexes and ligands or ESMFold for fast single-chain predictions. A structure you can reason about in an afternoon used to take months of crystallography or nothing at all.

Pair it with a frontier LLM (Claude or ChatGPT) for literature and experiment design, and visualize models in free PyMOL or ChimeraX. Learn from UniProt, the PDB, and PubMed. Keep proprietary sequences and unpublished IP out of consumer tools, and follow your biosecurity rules.

The one rule, forever: Protein and sequence design tools are dual-use: never use AI to design, enhance, or characterize toxins, pathogens, or anything with bioweapon potential, and follow your institution's biosecurity and dual-use research of concern (DURC) policies. AI structure predictions are hypotheses, so validate experimentally before you build on them, and keep proprietary sequences and unpublished IP 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
Predict structure and mechanism with AlphaFold
Why this pays: Knowing a protein's structure used to take months of crystallography, or was simply impossible. Predicting it in an afternoon lets you reason about mechanism, mutations, and druggability immediately, the head start that turns into papers, patents, and principal-scientist pay.
AlphaFold 3AlphaFold DBESMFold
1
Look up known structures in the AlphaFold Protein Structure Database; for complexes, ligands, or your own sequences, run AlphaFold 3, or ESMFold for fast single-chain predictions.
2
Use an LLM to turn the structure into testable hypotheses.
Copy-paste this prompt
I have an AlphaFold structure of [protein] with a predicted [active site / binding interface] near residues [list], and the pLDDT is [high/low] in that region. Propose mechanistic hypotheses, the point mutations that would test each one, and how much I should trust the prediction given the pLDDT and PAE. What experiments would confirm the predicted interface?
pLDDT and PAE tell you where to trust the model; low-confidence regions are guesses. Validate any functional claim experimentally before building on it.
3
Visualize and probe the model in PyMOL or ChimeraX to plan mutations and assays.
What you'll haveStructure-guided hypotheses in a day instead of a year, the pace that produces high-value results and IP.
2
Design proteins and enzymes generatively
Why this pays: De novo protein and enzyme design is the single most valuable, hardest-to-hire skill in biotech right now. A biochemist who can design a binder or improve an enzyme in silico commands principal or staff pay and equity.
RFdiffusionProteinMPNNRosetta
1
Generate candidate backbones with RFdiffusion, design sequences onto them with ProteinMPNN, and refine and score with Rosetta or AlphaFold self-consistency.
2
Use AI to plan the design campaign and the wet-lab validation.
Copy-paste this prompt
I want to design [a binder to target X / a more thermostable variant of enzyme Y]. Outline a realistic in-silico design campaign using RFdiffusion + ProteinMPNN + AlphaFold filtering: how to set up the target, what metrics to filter candidates on, how many candidates to order for testing, and the wet-lab assays to validate binding, activity, or stability. Note the main failure modes.
In-silico scores are enrichment, not proof; order a diverse panel and validate at the bench. Follow DURC and biosecurity review, and never design anything with pathogen or toxin potential.
What you'll haveA real shot at novel, patentable molecules designed at your desk, the frontier skill behind top-of-range biotech comp.
3
Mine the literature for targets and mechanisms
Why this pays: The biochemist who connects a pathway to a druggable target first wins the project. AI literature tools turn a fragmented literature into a map in hours, so you place better scientific bets.
ElicitConsensusPubMed
1
Use Elicit to pull a structured evidence table on a target or pathway, and Consensus to gauge where the field agrees.
2
Synthesize the mechanism and the open questions before committing bench time.
Copy-paste this prompt
Summarize the evidence linking [protein or pathway] to [disease or phenotype]: the strongest mechanistic studies, the contradictory findings, what is known about druggability (pockets, known ligands, protein-protein interfaces), and the 5 papers I must read. Identify the single biggest unanswered question I could address experimentally.
Verify each cited study in PubMed; AI tools fabricate references and overstate causal links. Keep proprietary target ideas out of consumer tools.
What you'll haveA clear map of a target's biology and open questions in hours, so your experiments and projects are better placed.
4
Build bioinformatics pipelines without a bioinformatician
Why this pays: Sequence, structure, and omics analysis gate modern biochemistry. An AI coding copilot lets you run your own pipelines instead of waiting in a queue, making you the rare wet-and-dry scientist biotech pays a premium for.
BiopythonGitHub CopilotChatGPT Advanced Data Analysis
1
Work in Python with Biopython and GitHub Copilot, and use ChatGPT Advanced Data Analysis for quick one-off omics wrangling.
2
Have the copilot write and explain the analysis.
Copy-paste this prompt
Write a Biopython and pandas script to [e.g. parse this multi-FASTA, align to a reference, compute per-residue conservation, and map it onto the structure's residue numbering]. Explain each step, handle [gaps / ambiguous bases], and tell me exactly how to sanity-check the output.
Re-run on a small known case and check the biology of the result; a copilot will produce code that runs but is biologically wrong (reading frame, residue numbering, strand).
What you'll haveYour own omics and sequence analyses on demand, the dual wet/dry skill set that commands higher pay.
5
Design better experiments and keep a smarter ELN
Why this pays: Fewer failed experiments and cleaner records mean faster, more reproducible science, the productivity that gets you promoted and keeps your work patentable.
Benchlingprotocols.ioClaude
1
Run your samples, constructs, and results in Benchling, and pull vetted methods from protocols.io.
2
Use AI to design and troubleshoot experiments.
Copy-paste this prompt
I'm planning [experiment, e.g. an enzyme-kinetics assay across a variant panel]. Propose a rigorous design: the proper controls, how many replicates and why, the confounders specific to this assay, and how I will analyze the data. Then give me a troubleshooting tree for [common failure, e.g. no measurable activity].
AI helps design and troubleshoot, but keep proprietary constructs and unpublished data in your ELN, not consumer tools, and verify the statistical choices yourself.
What you'll haveBetter-designed experiments and clean, reproducible records, the productivity behind promotion and IP.
6
Write grants and papers faster
Why this pays: Funding and publications are the scoreboard for academic and industry biochemists alike. AI accelerates the writing so more of your science gets funded and seen.
ClaudeChatGPTOverleaf
1
Draft and tighten manuscripts and grant sections with Claude: you supply data and interpretation, it improves structure and clarity, with math and figures in Overleaf where relevant.
2
Red-team a grant against its criteria before submission.
Copy-paste this prompt
Here is my Specific Aims / abstract for a [grant, e.g. R01 / SBIR] on [topic]. Act as a study-section reviewer: attack the weakest aim, flag the feasibility and significance gaps, and check it against [paste the review criteria]. Tell me exactly what would make it fundable.
You own every scientific and novelty claim; verify against your data and the literature, and keep unpublished IP out of consumer tools.
What you'll haveMore funded grants and published papers, the record that reaches the top of the biochemist pay band.
Your 12-month sequence to the top of the range

How the plays above stack into a path from median pay toward the $222,850 tier.

Month 1
Make AlphaFold DB / AlphaFold 3 and a frontier LLM part of daily work; run structures for your current proteins and mine their literature.
Months 2-3
Stand up your own bioinformatics scripts with a copilot, and move your ELN into Benchling with AI-assisted experiment design.
Months 3-6
Run a real in-silico protein or enzyme design campaign (RFdiffusion + ProteinMPNN) and validate the top candidates at the bench.
Months 6-12
Publish a structure- or design-driven result and submit a grant or patent, the moves toward principal-scientist 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.

McKinney Python for Data Analysis, 3rd

Same live O’Reilly 3rd already on data-scientist / python-developer / market-research-analyst / bioinformatics-analyst. This page’s analysis play prompt is Write a Biopython and pandas script. Not CompTIA Data+ and not leftover Ross Exam P (that is actuary).

Next steps for a Biochemist

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.

Biochemist work is specific enough that a stamped 'check out these courses' block would be noise. BLS files this work as Biochemists and Biophysicists (SOC 19-1021). 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 Chemistry; the links search those subjects, not a generic 'career courses' list.

Biochemists in this dataset list Extensible markup language XML 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 Biochemist work

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

Chemistry courses on edX

edX search for chemistry, aimed at science (SOC 19-1021). Same field as the Coursera link, different university catalog.

Screened remote and flexible Biochemist 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 Biochemist work, not a claim that they list a counted SOC 19-1021 inventory.

Build a Biochemist resume on Resume Now

Write a Biochemist resume, or one aimed at Physicists, instead of a blank template. Resume Now is a resume builder; we are not claiming a counted template set for this SOC.

Build a Biochemist resume on Zety

A Biochemist resume that names the actual tasks on this page, or the step-up title Physicists, beats a blank template when you apply.

What Biochemists earn by state

These are the Bureau of Labor Statistics’ own figures for Biochemists and Biophysicists, 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.

California
$139,580
highest of them · +10% vs the national median
North Carolina
$82,220
lowest of the 10 states that qualify · -35% vs the national median
The same job pays $57,360 more a year at the median in California than in North Carolina — 70% 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, $222,850, is a different statistic in a different place: it is the 90th-percentile wage in Texas. The state that pays the typical worker most and the state where the best-paid go highest are not always the same one.
California$139,580Pennsylvania$134,090Connecticut$132,670Massachusetts$131,600New Jersey$122,620Michigan$109,340New York$101,080Maryland$100,650

Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025, SOC 19-1021. 10 states 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 biochemists?
No. The wet-lab validation, the mechanistic reasoning, and the experimental design remain human, and someone must decide what to make and prove that it works. AI massively amplifies the biochemist who wields it, which is exactly why adopting it early is the advantage.
Can I trust an AlphaFold structure?
As a high-quality hypothesis, weighted by its confidence scores. Trust the high-pLDDT core, treat low-confidence loops and flexible regions as guesses, and validate any functional claim experimentally before you publish or design around it.
Is generative protein design real or just hype?
Real and maturing fast. RFdiffusion and ProteinMPNN produce binders and enzymes that work in the lab, but the in-silico scores are enrichment, not guarantees, so you still order a panel and validate at the bench. The skill is scarce and highly paid.
Is it safe to use these tools?
Yes, within biosecurity and DURC rules. Never use AI to design or enhance toxins or pathogens, follow your institution's dual-use policies, and keep proprietary sequences and unpublished IP off consumer tools.
How does this raise my pay?
In-silico speed, real protein-design ability, and the combined wet-and-dry skill set are what define the principal and staff scientist roles in biotech and pharma at the top of the band, along with the grants and patents they produce.
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