Where a laboratory director stops being one lab's manager
$151,040estimated top of the range · middle $95,000 / yr
AI augments this role
Laboratory Directors in the United States earn a median of $95,000 a year. Pay starts near $62,000. The top of the range is estimated at $151,040. The Bureau of Labor Statistics does not publish a separate wage series for this exact title, so this figure is derived from the closest occupation it does track and is labelled an estimate.
Source: PayCrunch estimate. Last checked 9 September 2026.
Entry level
$62,000
Top-end estimate
$151,040
Education
Doctoral degree or M.D.
Wages — PayCrunch estimate. The Bureau of Labor Statistics does not publish a separate wage series for Laboratory Director; figures are derived from the closest occupation it does track and are labelled as estimates. AI-impact rating is PayCrunch's editorial assessment. Updated September 2026.
🆕 New & Trending AI Tools for Laboratory DirectorReviewed September 2026
We track new AI-tool launches every week and refresh this list — here’s what’s gaining traction for Laboratory Director work right now.
Julius AINEWFree / $20 mo
AI data analyst that runs statistics and charts from plain-language prompts.
How a Laboratory Director 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 Laboratory Director 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 Laboratory Director 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 Laboratory Director uses it: get evidence-backed answers with the studies behind them
SciSpaceFree / paid
AI that explains papers and helps with literature review.
How a Laboratory Director 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 Laboratory Director 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 Laboratory Director 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 Laboratory Director 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 Laboratory Director uses it: draft and reply inside Google Workspace and research without leaving the page
A laboratory director is the person whose review closes a method. The signature, or the electronic equivalent, means the lab may use that method, that the quality records are in a state the director will defend, and that the scientists on the roster were hired under a standard the director accepts. It is a different job from running today's queue, and a different job from building this week's schedule. People who want the title because it sounds senior, without wanting the review, tend to be unhappy in it. People who already argue carefully about how a result gets made are often halfway there.
The setting can be a hospital laboratory, a reference lab, an environmental firm, a public-health bench, or an industrial quality lab. The customers change. The director's materials stay similar: methods, quality records, hiring files, and the occasional hard conversation with an administrator who wants speed without understanding what speed would break. If you are mapping a career toward this seat, picture documents and judgment more than pipettes, and picture a staff who need you to be reachable when a method and a deadline collide.
The review that carries your name
Method review is the core habit. You read whether the written method still matches the way the lab actually works, whether the people assigned to it have been trained, whether the records of that training exist, and whether the checks the method relies on are being done. A director who only signs the front page is a rubber stamp. A director who rewrites every sentence is a bottleneck. The useful middle is a review with comments a manager and a tech can act on, a date, and a clear decision: approved, approved with changes, or held.
Quality sign-off sits beside that review. Something went wrong, or almost did: a mislabel, a control failure that was handled loosely, a complaint from a clinician or a client, a result that had to be corrected after it left the building. The director looks at the record, asks what the system allowed, and decides what must change so the same path is harder next time. Blame aimed at the newest tech, with no change to the process, is how labs repeat themselves. A sign-off that names a real change, assigns it, and checks later whether it happened is how a quality system stays alive.
Outside reviewers will eventually read what you signed. Prepare for that as ordinary work, not as a crisis that starts the week they arrive. Records should be findable. Staff should be able to explain their own steps without coaching from the hallway. You should be able to say which methods you are willing to defend and which ones you have already pulled back. Directors who meet a review by scrambling through drawers teach the organization that quality is theater. Directors who can open the file they already keep teach the opposite.
Hiring scientists, and meaning it
Hiring is not a courtesy seat at someone else's interview. In a real director role you help decide who joins the scientific staff: education, hands-on evidence, honesty about the limits of their experience, and whether they can work inside a method instead of around it. You are also part of the decision to let someone go, or to move them off a method they are not ready to run. That is uncomfortable, and it is the job. A lab full of pleasant people who cannot produce a defensible result will fail in public, and the name on the failure will include yours.
The scientists you hire might be technicians, senior specialists, or managers, depending on the org chart. Your task is to see the difference. A careful tech who wants to stay on the bench is a gift. A manager who can build a week is a different gift. A scientist who wants your chair should be given real pieces of review, not a vague promise. Write down what each role owns. When titles inflate, everyone becomes "lead" and nobody knows who stops a bad batch. Directors earn trust by making those lines visible and then living with them.
You will also hire, or help hire, when the science itself changes. A new instrument, a new menu of tests, a client with a matrix the lab has not run. The director's question for that moment is who already has the competence, who can be trained, and who would be pretending. Pretending is the expensive option. It shows up later as a corrected report. Say no to a menu the staff cannot support, or staff it before you sell it. Administrators may push. Your job is to translate "we can add that" into the training, the method, and the review that would have to exist first.
Not the bench tech, and not the weekly manager
The bench tech owns the queue. They accession, run, record, and flag. They should not be asked to also be the person who signs the method they are exhausted from performing, except in very small labs where one human is wearing every hat and everyone admits it. If you came from the bench, the hard part of directing is letting the queue be someone else's day so your day can be review, hiring, and the problems that do not fit a procedure. Hovering over every aliquot is how directors hide from the work only they can do.
The lab manager owns the week: the schedule, the supplies, the safety meeting, the coverage when someone calls out. A healthy lab lets the manager run that week without the director re-deciding every assignment. A healthy director still knows enough about the week to see when the schedule and the quality records disagree, for example when a method is approved but nobody competent is rostered to perform it. The partnership is the job design. Directors who treat managers as clerks lose the people who can actually keep Monday upright. Managers who hide problems until a report goes out leave the director signing fiction.
Three seats, three kinds of accountability
The tech answers for the sample in front of them. The manager answers for the week the staff can actually work. The director answers for the methods, the quality decisions, and the scientific hires. A posting that uses the director title for schedule-and-supplies work is describing a manager. Read the duties, not the bold type.
How organizations choose the person who signs
Search committees and laboratory administrators look for a science background they can explain to a client, plus evidence of judgment. A graduate degree is common in many director postings. A bachelor's degree plus deep bench leadership still appears, especially outside the most regulated clinical settings. Whatever the diploma, they want methods you have owned, staff you have hired or trained, and a quality problem you can narrate without turning it into a hero story. They will ask what you stopped, not only what you expanded.
The interview should be specific. Bring a method you reviewed and what you changed. Bring a hire you would make again and a hire you would make differently. Bring the way you talk to administrators when they want a new service the lab is not ready to offer. Do not recite a regulatory table from memory as if hour counts and category charts were the whole profession. Learn the rules of the lab you are entering, from the people and documents that govern that lab, once you are a finalist. In the interview, show that you know review, hiring, and sign-off are the work, and that you have done pieces of them already.
Internal promotion is common and often wise. The senior scientist or manager who has been quietly doing the review gets the title that matches. External hires make sense when the lab needs a kind of science it does not have, or a quality rebuild after a failure. Either candidate should ask who currently signs, what remains unsigned, and whether the manager role stays filled. Accepting a director title in a lab with no manager and no lead tech means you have accepted three jobs. That can be a choice. It should not be a surprise on day one.
A path that arrives after the bench
Almost nobody starts here. The path runs through the bench, often through a senior or specialist role, sometimes through the manager's calendar, and only then into sign-off. Along the way, collect work you can talk about without breaching confidentiality: a method you wrote or repaired, a training program you built, a corrected process after an error, a hiring decision you influenced. Collect also the habit of writing. Directors are believed when their comments are clear enough that a tech can follow them a month later.
Some people stop at senior scientist on purpose. They want the science without the personnel file. That is a respectable destination. Others discover they like the system more than the assay and move toward quality leadership that may or may not carry the director title. If you want the title, ask for pieces of it before you ask for the name: sit in on method review, join a hiring panel, draft the response to a complaint for someone else to sign. When you can do those pieces well, the promotion conversation is about scope you have already demonstrated. When you cannot, more bench years will teach you more than a premature title will.
Estimated compensation, matched to the signature
The Bureau of Labor Statistics does not publish a separate wage series for this exact title. PayCrunch estimates the figures that follow, and they should be called estimates in any salary talk. Entry is $62,000. The median is $95,000. The top estimate is $151,040. From entry to the median the gap is $33,000. From the median to the top the gap is $56,040. Keep every dollar national. Do not pin these estimates to a named place, and do not present them as a government series for laboratory director.
Read the duties before you pick the anchor. A posting that says director and then describes scheduling, ordering, and shift coverage may be a manager's job with a inflated name. The entry estimate of $62,000 can be a coherent comparison for a small lab, or for a title that does not yet include method sign-off and scientific hiring. If the offer expects you to review methods, sign quality decisions, and hire scientists, the median estimate of $95,000 is the figure to set beside that scope. The $33,000 gap is large enough to discuss with examples, not with adjectives. Name the reviews you will own. Name the hires. Ask which of those the entry number is supposed to buy.
The top estimate of $151,040 stands $56,040 above the median. That distance belongs to a broader institution: more than one lab, a larger scientific staff, a role that already includes the hard external conversations and the full quality system. It is the wrong opener for a first director job in a single section. It is a reasonable reference when the median is behind you and the organization is adding sites, menus, or staff that report through you. Say the number is a PayCrunch estimate. Then let the scope argue. An administrator who wants director-level sign-off at an entry estimate should hear the $33,000 gap described calmly, with the duties listed. An administrator who wants multi-lab accountability can hear why the top sits where it sits.
Open by naming the source, because the Bureau of Labor Statistics does not publish a separate wage series for this exact title and pretending otherwise weakens you. Then choose one anchor: $62,000 if the role is narrow or the title is soft, $95,000 if sign-off and hiring are real, $151,040 only when the institution's scope matches the top of the estimate. Bring the methods you have reviewed and the people you have hired. The estimates give the conversation a shape. The signature you are willing to put on a method is the part only you can prove.
The top of Laboratory Director pay — and how to get there with AI
$151,040top-end estimate for Laboratory Director
PayCrunch estimate - derived from the closest occupation BLS tracks (Natural Sciences Managers, 11-9121). This figure is PayCrunch’s estimate, not a Bureau of Labor Statistics published wage for this exact title.
And the role it leads to — Physicians, All Other — reaches $564,890 in North Dakota.
$62,000entry$95,000middle$151,040top end
The best-paid laboratory directors are not running one bench better than anyone else; they hold the signature on regulatory compliance, the budget, and often a directorship at a second site under contract.
A director in the middle of the range reviews project activities, approves expenditures, and keeps the testing reports moving. A director at the top writes the policies and procedures the whole operation is inspected against, prepares the proposals that bring in the next study, and is qualified to hold that responsibility for more than one employer at once. Drafting assistants shorten the paperwork half of that, a procedure revision, a report summary, a client update, so the hours freed go into proposals and staff instead. California concentrates the study work, which is why relocating or taking contract directorships is the plainest route upward here.
Your playbook, by where you are now
Just startingPut your name on the reports
Review and sign the testing and operational reports yourself instead of routing them to whoever signed last time.
Learn every line of your own budget, what the reagents cost, what the instrument service contract costs, what the staff time costs.
Keep instrument validations and corrective actions inside the laboratory information management system LIMS rather than in a personal folder.
Present once at a professional meeting on a method your laboratory actually developed.
Ask Claude to turn your rough method notes into a clean draft procedure, then check the draft against the written standard line by line.
What proves it: A method or validation package you authored that passed an outside inspection.
Realistic span: the first two or three years in the chair
A few years inTake the compliance file nobody wants
Own the policies, standards, and procedures the laboratory is judged on, including who is trained on what and when.
Run the inspection preparation yourself and keep the findings and responses as a working document.
Hire and evaluate your technicians against written criteria you wrote, not against how busy they look.
Track spend against forecast in Microsoft Excel monthly so a variance is a conversation, not a surprise.
Use NotebookLM to hold your standards, past findings, and internal procedures so a staff question is answered from your own documents.
What proves it: A clean inspection with your name as the responsible director.
Realistic span: roughly years three to seven
ExperiencedBe qualified for two labs, then choose
Get the credential that lets you hold directorship responsibility for a second facility, then take one on contract.
Write proposals for outside work and follow the client relationships through, explaining findings and agreeing specifications yourself.
Compare what your qualifications are worth in the state you are in against California before your next renewal.
Build clinical trial management software reporting so a sponsor's status question is answered the day it arrives.
Train a deputy who can sign in your absence, because a director nobody can cover is a director who cannot take a second post.
What proves it: A second directorship or consulting agreement running alongside your main post.
Realistic span: from about year eight
The next 90 days
Take the next ninety days and rebuild one procedure end to end, the one your staff most often deviate from. Sit with the people running it, write down what they actually do, compare that against the standard the laboratory is inspected against, and produce a revised procedure with a training record attached. Draft it fast with an assistant if you like, then verify every requirement against the source yourself. Do the same for its budget line: what it costs per run, and what it would cost if the deviations stopped. A director who arrives with a corrected procedure and its cost has the two documents that argue for a bigger scope.
Wage figures: PayCrunch estimate. The playbook is PayCrunch editorial guidance, not a guarantee of pay or placement.
Every figure is the national median from the U.S. Bureau of Labor Statistics (OEWS) shown on that role’s own page.
Never used AI before? Start here (2 minutes).
Start with your operational data, not the bench. Export a month of QC, turnaround-time, and instrument-uptime data and drop it into Microsoft Copilot in Excel or Power BI to find your real bottlenecks — the director's highest-leverage AI use is running the lab, not running a test. Ask it where turnaround breaks down and which analytes drive QC failures.
For the science and compliance side, use Claude or ChatGPT to draft SOPs, validation plans, and CAP-checklist responses from your notes (de-identified), and NotebookLM to interrogate the CLIA and CAP requirements as a source-grounded document. Keep every patient identifier inside your LIS and approved systems.
The one rule, forever: In a clinical lab, AI is decision-support and operations-support only — the director remains legally responsible under CLIA for every validated method and released result. Validate any AI tool, including digital-pathology algorithms, on your own instruments and patient population before clinical use, monitor it after go-live, and keep it inside HIPAA-compliant systems. Never paste patient identifiers or results into a consumer AI tool; use de-identified or synthetic data for any external analysis.
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
Turn lab operations data into decisions with AI analytics
Why this pays: Cutting turnaround time and cost-per-test while holding quality is exactly what earns a director a bigger lab and a bigger paycheck.
Power BIMicrosoft Copilot in ExcelTableau
1
Build a live dashboard in Power BI for turnaround time, QC pass rates, test volume, and instrument uptime, and use Microsoft Copilot in Excel to interrogate the raw export in plain language.
2
Find and quantify the real bottlenecks.
Copy-paste this prompt
Act as a clinical lab operations analyst. Here is [de-identified] monthly data: test volumes, turnaround times by stage (collection to receipt to result), QC results, and instrument downtime. Identify the top three turnaround-time bottlenecks, quantify each in minutes and percent of tests affected, correlate delays with shift and instrument, and propose specific interventions ranked by expected turnaround gain vs effort. Note where the data is insufficient to conclude.
AI finds correlations, not causes — confirm the root cause with your staff and workflow before spending on a fix.
3
Report the wins in cost-per-test and turnaround to administration — the metrics that justify your scope and comp.
What you'll haveMeasurable turnaround and cost improvements you can defend to leadership — the case for a larger lab and higher pay.
2
Automate QC monitoring and catch drift before it fails
Why this pays: A clean accreditation record and zero QC-driven result errors protect the license the whole revenue stream depends on — and the director's job.
Bio-Rad UnityWestgard QC toolsPower BI
1
Use Bio-Rad Unity (or your middleware) for peer QC and Westgard rules, and layer an analytics view that flags trends and shifts before they trip a rule.
2
Reason through an ambiguous QC pattern fast.
Copy-paste this prompt
You are a clinical QC expert (Westgard, Six Sigma). For analyte [X] with these Levey-Jennings/QC data [paste de-identified values, mean, SD], tell me: which Westgard rules are being violated or trending, whether this looks like random error, shift, or drift, the most likely analytical causes, and the troubleshooting steps in order. Recommend whether to hold patient results and what to document.
Use it to reason faster, but the hold-or-release decision and its documentation are yours under CLIA — verify against your SOP.
3
Set a weekly AI-assisted QC review so drift is caught in days, not at the next proficiency-testing event.
What you'll haveFewer QC surprises and a spotless accreditation record — protecting the lab's license and your role.
3
Draft SOPs, validation plans, and CAP-checklist responses fast
Why this pays: Accreditation prep and method validation are enormous time sinks; clearing them faster lets a director add revenue-generating assays and cover more scope.
ClaudeNotebookLMChatGPT
1
Load the current CLIA and CAP checklist plus your existing SOPs into NotebookLM and ask, grounded in those sources, where you are exposed before an inspection.
2
Generate a validation plan for a new assay.
Copy-paste this prompt
Act as a lab quality and compliance specialist. Draft a method validation plan for bringing up [new assay, e.g., a quantitative LC-MS/MS test] under CLIA high-complexity: required studies (accuracy, precision, reportable range, reference interval, analytical sensitivity and specificity, carryover), acceptance criteria, number of samples, and the documentation CAP will expect. Output as a checklist I can assign, and note anything requiring the director's personal sign-off.
AI drafts the plan; the director must confirm it meets current CLIA and CAP requirements and personally sign the validation.
3
Have AI turn your bench notes into a compliant SOP draft, then review, correct, and approve it.
What you'll haveValidations and accreditation prep done in a fraction of the time — capacity to add assays and scope that pay.
4
Evaluate and govern digital-pathology and diagnostic AI
Why this pays: The director who safely brings in FDA-cleared AI — digital pathology, image analysis — modernizes the lab and becomes the go-to expert, a leadership premium.
PaigePathAIChatGPT
1
Pilot a cleared tool like Paige or PathAI in shadow mode on your own cases before it touches a report, measuring sensitivity and specificity on your population, not the vendor's.
2
Design the validation and governance for adoption.
Copy-paste this prompt
Help me design a validation and governance plan to adopt an AI [prostate cancer detection] tool in our pathology lab: shadow-mode study design on our own slides and scanner, sample size and ground-truth definition, metrics (sensitivity, specificity, concordance with the pathologist), failure-mode monitoring after go-live, and the CAP and regulatory documentation required. List the questions to ask the vendor about training data and generalizability.
Vendor performance rarely transfers — validate on your own scanners and case mix, and keep a pathologist in the loop for every result.
3
Write the governance policy — who reviews AI outputs, how misses are tracked — so adoption is safe and defensible.
What you'll haveA modern, AI-enabled lab you govern safely — the expertise that earns director-level leadership pay.
5
Forecast staffing, capacity, and supplies
Why this pays: Right-sizing staff and reagents to demand is where a lab's budget is won or lost — the P&L skill that gets a director promoted over larger operations.
Microsoft Copilot in ExcelPower BIChatGPT
1
Use Microsoft Copilot in Excel on historical volume to forecast demand by shift and season, then model staffing and reagent needs against it.
2
Build a defensible staffing-and-supply forecast.
Copy-paste this prompt
Act as a lab operations planner. Given [24 months] of test volume by day and analyte [de-identified], forecast next quarter's volume with seasonality, translate it into required staffing per shift and reagent order quantities with safety stock, and flag capacity constraints on [instrument]. Show your assumptions and give a low, expected, and high scenario.
Treat forecasts as scenarios, not promises — pad for outbreaks and validate against your budget and vendor contracts.
3
Bring the scenarios to budget planning; data-backed staffing plans build the P&L credibility that promotes you.
What you'll haveDemand-matched staffing and supplies — the budget discipline that moves you up to larger, better-paid operations.
Your 12-month sequence to the top of the range
How the plays above stack into a path from median pay toward the $145,000 tier.
Month 1
Build one operations dashboard (turnaround, QC, volume) and find your single biggest bottleneck.
Months 2-3
Add AI-assisted QC review and start drafting SOPs and validation plans with AI, using de-identified data only.
Months 3-6
Run a shadow-mode validation of one AI tool or new assay and write its governance policy.
Months 6-12
Present turnaround and cost wins plus a staffing forecast to administration, and add an assay on the freed capacity.
Year 2
Own AI governance and quality strategy for the lab, or add a site — the scope behind pay at the top of the range.
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 McGraw Hill DMAIC pocket tools already on industrial-engineer / warehouse-worker / logistics-analyst (ASIN 0071441190, ISBN 978-0-07144-119-3). This leftover page’s play 1 is Turn lab operations data into decisions and Month 1 is find your single biggest bottleneck; play 2 is Automate QC monitoring; the QC prompt is You are a clinical QC expert (Westgard, Six Sigma); Year 2 is Own AI governance and quality strategy. DMAIC pocket tools for leftover Six Sigma QC / operations bottlenecks — not leftover CAP as a dump and not The Goal (that is operations-manager / industrial-engineer constraint book). Confirm 0071441190. Live page HTTP 200, no PC_GEAR / amazon.com/dp / tag=paycrunch-20 at 2026-09-17 5:33 PM PT.
Next steps for a Laboratory Director
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.
Laboratory Director work is specific enough that a stamped 'check out these courses' block would be noise. BLS files this work as Natural Sciences Managers (SOC 11-9121). 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 Engineering and Technology and Biology; the links search those subjects, not a generic 'career courses' list.
Laboratory Directors in this dataset list Autodesk AutoCAD among the tools in use, so a program that names that stack is a better fit than a survey course.
Coursera search for engineering and technology — a graduate-level or professional certificate that lines up with management, 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 Laboratory Director work, not a claim that they list a counted SOC 11-9121 inventory.
Write a Laboratory Director resume, or one aimed at Physicians, All Other, instead of a blank template. Resume Now is a resume builder; we are not claiming a counted template set for this SOC.
A Laboratory Director resume that names the actual tasks on this page, or the step-up title Physicians, All Other, beats a blank template when you apply.
What Laboratory Directors earn by state
This page does not show a state table, and the reason is worth stating: the Bureau of Labor Statistics does not publish a separate wage series for this job title, so there are no official state figures to show. Scaling the national median by a cost-of-living index would produce a number for every state, but it would be an estimate of living costs wearing a wage’s clothes, and PayCrunch would rather show you nothing than that.
What the national figures say: pay starts near $62,000, the median is $95,000, and the top of the range is $151,040. Those national figures are a PayCrunch estimate, not a Bureau of Labor Statistics published wage for this exact title.
No — CLIA requires a qualified individual to hold scientific and legal responsibility for the lab, and AI cannot sign a validation, own an error, or face an inspector. AI handles the analytics and drafting; the director's accountability and judgment are the job. Directors who use AI to run tighter, better-documented labs advance fastest.
Can I trust AI QC or diagnostic tools?
As support, never as the final call. QC holds and releases, and diagnostic results, remain the director's and pathologist's responsibility. Validate every tool on your own instruments and population, monitor it after go-live, and keep humans reviewing outputs.
Is it safe to use ChatGPT in a clinical lab?
Only with de-identified or synthetic data. Never paste patient identifiers or results into consumer AI. Use it for SOPs, validation plans, compliance drafting, and de-identified operations analysis; keep all PHI inside your LIS and HIPAA-compliant systems.
How does AI raise a director's pay?
By improving the metrics leadership pays for — turnaround time, cost-per-test, accreditation record, and capacity — and by letting you safely modernize with digital pathology and AI. Better-run, larger, cleaner labs earn directors bigger scope and comp.
Where do I start if I'm not technical?
Microsoft Copilot in Excel on a de-identified operations export — plain-language questions, no coding. It delivers bottleneck and staffing insight on day one, and you grow into Power BI dashboards from there.
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.