United Kingdom · Research and development · Lead (8-12 years)

Head of Laboratory

Here is the whole job, in plain words. What it is, what you decide, how you're judged, how people get here and where they go next. Then the part no course gives you: twelve AI tutors who learn your work.

See how AI is changing this job, and get the full read by email.

As a Head of Laboratory, a good place to start on Prompt Engineering & LLM Integration for R&D is Planning Automation Across a Department, a free Future Fluency module at Level 5. You'd practise working out what in your department's work could be automated, what should not be, and what to recommend.

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One email: what AI is changing in this job, the new skills it asks for, where it leads, and where to start free. With a link back here. Nothing else follows unless you confirm your address.

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  • Experience bandLead (8-12 years)
  • Direct reports3-8 reports
  • Reports toLaboratory Manager
  • UK framework levelUsually a manager, or the deepest specialist in a team

Also advertised as Principal Scientist, Laboratory Lead · Senior Research Lead · Laboratory Programme Manager

Built on 43,079 real UK job descriptions we analysed · grounded in what real qualifications cover

1From this job to a course

The qualifications matched to this job

GQA PAA\VQ-SET Level 3 NVQ Diploma in Laboratory and Associated Technical Activities GQA Qualifications Limited · Level 3 · covers 4 of 20 standards
ETCAL Level 3 Diploma in Laboratory and Associated Technical Activities ETC Awards Limited · Level 3 · covers 4 of 20 standards
NOCN Level 3 Diploma in Healthcare Support NOCN · Level 3 · covers 1 of 20 standards
GQA PAA\VQ-SET Level 2 Certificate in Laboratory Technical Skills GQA Qualifications Limited · Level 2 · covers 6 of 20 standards
ETCAL Level 2 NVQ Certificate in Laboratory and Associated Technical Activities ETC Awards Limited · Level 2 · covers 4 of 20 standards
GQA Level 5 Diploma in the Practice of Process Safety Management GQA Qualifications Limited · Level 5 · covers 2 of 20 standards

Matched from the standards this job is measured against: a suggestion, not an official ruling.

The units you would start with

Measuring, weighing and preparing compounds and solutions for laboratory use GQA PAA\VQ-SET Level 3 NVQ Diploma in Laboratory and Associated Technical Activities
Assist in receiving, handling and dispatching clinical specimens NOCN Level 3 Diploma in Healthcare Support
Laboratory Measurement Techniques GQA PAA\VQ-SET Level 2 Certificate in Laboratory Technical Skills
Prepare compounds and solutions for scientific or technical use ETCAL Level 2 NVQ Certificate in Laboratory and Associated Technical Activities
Understand how to comply with the relevant Regulations, Industry Standards and Management Requirements for Process Safety GQA Level 5 Diploma in the Practice of Process Safety Management

The future skills this job leans on

AI Fluency working with AI as a thinking partner
Data Fluency turning numbers into a decision
AI Governance Fluency using AI responsibly
Automation Fluency building AI into how work runs
Systems Fluency seeing the whole picture
Your Plan Illustration

Built for Head of Laboratory

5 units that map to this job, from the qualifications that cover it.

  1. Measuring, weighing and preparing compounds and solutions for laboratory use GQA Qualifications Limited · covers 4 of 20 standards Level 3
  2. Assist in receiving, handling and dispatching clinical specimens NOCN · covers 1 of 20 standards Level 3
  3. Laboratory Measurement Techniques GQA Qualifications Limited · covers 6 of 20 standards Level 2
  4. Prepare compounds and solutions for scientific or technical use ETC Awards Limited · covers 4 of 20 standards Level 2
  5. Understand how to comply with the relevant Regulations, Industry Standards and Management Requirements for Process Safety GQA Qualifications Limited · covers 2 of 20 standards Level 5
These are the real units behind this job, in the order they rank for it. Nothing here is marked done, because this plan has not been started by anyone yet. Yours would fill in as you go.

2AI and this work

Will AI change your work as a Head of Laboratory?

Nobody can say exactly how. Here is what this job is being asked for next, and where to start.

The new skills this role is being asked for

  • Prompt Engineering & LLM Integration for R&D
  • Advanced Data Visualisation for Storytelling
Why each one is rising

The future skills this job leans on

We'll only ever tell you what we can actually back up. No hype, no scare tactics.

What happens when you start

Next, a free account. We build your Head of Laboratory plan as you set up, starting with the free Automation Fluency module. No card.

Your first Future Fluency module is free. After that, your AI tutor is £70 a month.

Keep this read. One email with what AI is changing in this job, the new skills it asks for and where to start free. Nothing else follows unless you confirm your address.

3What this role really is

This job involves leading a laboratory team and shaping the research programme, from setting the questions to checking the answers hold up. It means being the technical expert others turn to when a problem is hard to solve.

4What you'd actually use

The tools this job runs on, and how well you'd need to know each one.

Benchling (ELN) Advanced

Designing complex experiments, documenting all experimental details, linking data to samples, reviewing team's entries for compliance and scientific rigour, and designing new templates for specific assay types.

LabWare LIMS Expert

Configuring new assays, troubleshooting sample workflows, building custom queries and reports for programme data, and ensuring data integrity and traceability for all samples managed by your team.

R (with Tidyverse) Advanced

Performing complex statistical analyses for DoE, non-linear regression, bespoke data visualisation, and teaching statistical concepts to your team. You'll use it to dig deeper than standard software allows.

Agilent OpenLab / Waters Empower 3 Expert

Developing new instrument methods, validating software updates, serving as the superuser for troubleshooting complex instrument issues, and optimising data processing parameters for your team's analytical runs.

Veeva QualityDocs (QMS) Advanced

Authoring and revising critical SOPs and validation protocols, managing change controls for lab processes, leading deviation investigations within the system, and ensuring your team's training records are up-to-date.

Smartsheet / Microsoft Project Advanced

Building detailed project plans for your research programmes, managing resource allocation across your team, tracking milestones and dependencies, and reporting progress to your manager and other stakeholders.

5What you get to decide, and how that grows

Power in a job isn't your title. It's what you're allowed to decide. Here's how it grows as you move up.

The choiceComing in Where you are nowThe step above
Experimental Design & Methodology Follows established protocols; escalates deviations to supervisor. Selects appropriate standard methods; proposes minor optimisations with manager approval. Designs complex experiments independently; develops new methods; consults on novel approaches.
Resource Allocation (Team/Budget) Uses allocated reagents; requests new supplies from supervisor. Manages own experimental supplies; flags potential budget overruns to manager. Manages project-specific budget (up to £5K); allocates instrument time for own workstream.
Data Interpretation & Reporting Processes data using standard software; presents raw results to supervisor. Interprets data for routine experiments; drafts sections of reports for manager review. Independently interprets complex data; writes full study reports; makes data-driven recommendations.
Troubleshooting & Problem Solving Identifies basic instrument errors; seeks immediate help from supervisor. Troubleshoots routine method issues; proposes solutions for manager approval. Leads investigations into complex OOS results; designs corrective actions; mentors junior staff on troubleshooting.

6How you'll be judged

The scoreboard, and what is not on it. The hard targets, how often each is actually looked at, and the quiet signals that never reach a dashboard.

Project Milestone Delivery Rate
The percentage of key project milestones within your assigned research programmes that are delivered on time and within scope.
Target · Achieve 90% or higher on-time delivery for all critical milestones.

If your programme has 10 critical milestones for Q3, you'd need to hit at least 9 of them by the deadline. Missing a key data package for an IND filing would be a big miss here.

Method Transfer Success Rate
The percentage of new analytical methods developed by your team that are successfully transferred to QC or manufacturing on the first attempt, meeting all validation criteria.
Target · Maintain a 100% first-pass success rate for method tech transfers.

Your team develops a new HPLC method. When QC tries to run it, they get the same results as you, and all validation parameters (accuracy, precision, etc.) are met without needing further optimisation or troubleshooting from your end.

Team Productivity & Throughput
The overall output of your direct team, measured by the number of experiments completed, data packages generated, or methods developed per reporting period, relative to agreed targets.
Target · Meet or exceed team productivity targets by at least 10% each quarter.

Your team was tasked with screening 50 novel compounds this month, generating full data sets for 10. You delivered 55 screened compounds and 12 full data sets, showing strong output.

Budget Adherence for Programmes
How closely your research programmes stick to their allocated budget for reagents, consumables, and instrument time.
Target · Keep programme spending within +/- 5% of the approved budget.

If your programme budget for Q2 was £150,000, you'd need to spend between £142,500 and £157,500. Going over means you haven't managed resources well; coming significantly under might mean you're not pushing hard enough.

Technical Authority & Influence
Your standing as a go-to expert within the organisation for your specific scientific domain, and your ability to influence scientific direction.
  • You'll be regularly consulted by other senior scientists or directors on complex technical issues. Your recommendations on experimental design or data interpretation are usually accepted without significant challenge. You're asked to present at internal scientific forums or represent the company at external conferences.
Mentorship & Team Development
How effectively you develop and grow the scientists and technicians in your team.
  • At least one of your mentored L1/L2 scientists is promoted or takes on significant new responsibilities within 18 months. Your team members consistently report positive experiences in their 1-to-1s, feeling supported and challenged. You're seen as a fair and effective leader who helps people improve their skills and careers.
Problem-Solving & Innovation
Your ability to tackle novel, complex scientific challenges and propose creative, yet robust, solutions.
  • You're the one who designs the 'impossible' experiment that finally gets us the data we need. You propose and implement new methodologies that significantly improve lab efficiency or data quality. When a major OOS hits, you're leading the root cause analysis and finding a lasting fix, not just a band-aid.
Quality & Compliance Leadership
Your proactive approach to ensuring all lab activities meet regulatory and internal quality standards.
  • You're consistently identifying potential compliance gaps before they become issues. Your team's documentation is exemplary during internal audits. You lead by example in following GLP/GMP principles, and your team reflects that behaviour. You're often asked to review critical documents for regulatory submission.

7Would you like it

Both sides. What people enjoy, and what grinds them down.

What people enjoy
Scientific Impact & Discovery

You'll be deeply involved in the scientific questions, designing experiments that push the boundaries of our knowledge. Seeing your team's data contribute to a patent or a new product candidate will be a huge thrill.

Leading the development of a novel assay that unlocks a new understanding of a disease mechanism, directly influencing the direction of a drug discovery programme.

Technical Leadership & Problem Solving

You'll be the person everyone comes to when they're stuck on a complex analytical problem or need a robust experimental design. You thrive on figuring out the 'how' and guiding others to do the same.

Troubleshooting a persistent instrument issue that's been plaguing the lab for weeks, then developing a new SOP to prevent recurrence, making the whole team more efficient.

Team Development & Mentorship

You'll spend a significant portion of your time coaching your direct reports, helping them refine their experimental techniques, interpret data, and grow their careers. Their successes will feel like your own.

Guiding a junior scientist through their first independent method validation, seeing them gain confidence and expertise, and eventually taking on more complex projects.

What frustrates people
  • The CapEx Gauntlet: Fighting for a year to get a £150K instrument approved by finance, only to have the project timeline blamed for the delay caused by using the old, unreliable equipment.
  • The 'Rockstar' Problem: Managing the brilliant but non-compliant senior scientist who delivers breakthroughs but refuses to document their work properly, creating massive compliance risks.
  • The Friday Afternoon OOS: A critical batch failing its final QC test at 4 PM on a Friday, knowing it means a weekend of investigation and a brutal call with leadership on Monday.
  • Commercial Pressure: Being asked by the sales or marketing team to 'just release the preliminary data' or 'cut the validation timeline in half' to meet a launch date, forcing you to be the guardian of scientific integrity.
  • The Reagent Cost Inquisition: Having to justify to a procurement manager why a 1mL vial of a specific antibody costs £5,000 and why the 'cheaper alternative' they found online is not acceptable.
  • Inherited Method Mayhem: Taking over a lab and discovering that a critical, long-standing analytical method was never properly validated and is slowly drifting out of control.
What this role does not give you
  • A perfectly predictable 9-to-5 schedule – urgent experiments or OOS investigations don't always respect the clock.
  • An environment free from ambiguity – R&D is inherently about exploring the unknown, which means navigating uncertainty.
  • Complete autonomy over strategic direction – you'll influence, but ultimately, you're part of a larger R&D strategy.
  • A guarantee that every project you start will succeed or even make it to market – scientific research involves a lot of dead ends.

8Who you work with

Your work directly shapes the technical direction of key research programmes. Get it right, and you'll deliver the fundamental data that underpins our next generation of products or significantly improves our existing ones. Get it wrong, and we could face costly delays, failed product launches, or even regulatory setbacks. You're a critical cog in the R&D machine, making sure the science is sound and the team is effective.

Inside the business
  • Laboratory Manager/Associate Director (for strategic alignment and resource allocation)
  • Other Lead Scientists (for cross-functional project collaboration)
  • Product Development Teams (to understand requirements and transfer methods)
  • Quality Control (QC) Department (for method transfer and troubleshooting)
  • Regulatory Affairs (to ensure compliance and data integrity)
  • Finance (for budget reviews and capital expenditure requests)
Outside the business
  • Key Opinion Leaders (KOLs) or academic partners (for scientific collaboration)
  • Technology vendors (for instrument procurement and support)
  • Contract Research Organisations (CROs) (when outsourcing specific studies)
  • Industry consortia (for staying abreast of scientific trends and best practices)

9What you need before you start

Not a wish list. The things you would be expected to already have.

  • Proven ability to independently design, execute, and interpret complex scientific experiments.
  • Demonstrated experience in leading small project teams or mentoring junior scientists.
  • Expertise in at least one major analytical platform relevant to our R&D (e.g., advanced chromatography, cell-based assays, molecular diagnostics).
  • A track record of successful method development and validation, ideally including technology transfer.
  • Strong understanding and practical application of GLP/GMP principles in a regulated environment.
  • Excellent written and verbal communication skills, with experience presenting scientific data to diverse audiences.

10What to practise next

Where the job is going, and what to do about it starting this week.

Omics Data Integration & Interpretation

The explosion of 'omics' data (genomics, proteomics, metabolomics) means a single experiment can generate vast, complex datasets. You'll need to understand how to integrate these different data types to draw meaningful biological conclusions and guide your research programmes.

Multi-omics data analysis pipelines · Pathway analysis and network biology · Biostatistical methods for high-dimensional data

  • This week: Read a review article on multi-omics data integration relevant to your field.
  • This month: Attend a webinar or online course on basic bioinformatics tools for 'omics' data (e.g., R Bioconductor packages).
  • Month 2: Collaborate with a bioinformatician on a project, learning how they approach data integration.
  • Month 3: Design an experiment that intentionally generates multi-omics data and plan its integrated analysis.

Quick win: Familiarise yourself with the basic concepts of one 'omics' technology (e.g., RNA-seq) and how its data is typically interpreted.

11Staying current once you are in

What people here do to keep up
  • Regularly attending scientific conferences and workshops relevant to your field to stay abreast of new technologies and methodologies.
  • Publishing scientific papers or presenting at industry events to establish thought leadership.
  • Participating in internal training programmes on leadership, project management, or advanced statistical analysis.
  • Mentoring junior colleagues and actively participating in internal scientific review committees.

12The rising capability

The rising capability

Zavmo analysis

What's rising in its place

This is where the work is heading, and the higher pay with it. Get fluent here and the shift stops being a threat and starts being your edge.

Prompt Engineering & LLM Integration for R&D

Competitors are already using Large Language Models (LLMs) to draft reports in minutes that used to take hours, or to summarise vast bodies of literature. Scientists who master these tools will outproduce their peers significantly. This isn't just about ChatGPT; it's about integrating AI into your team's actual workflows.

  • Context windows and token limits
  • Temperature settings for different tasks
  • RAG (Retrieval Augmented Generation) architectures
  • Output validation and hallucination detection
  • Prompt chaining for complex analysis

Advanced Data Visualisation for Storytelling

As data complexity grows, the ability to distil insights into compelling visual narratives becomes paramount. Simply presenting graphs isn't enough; you need to tell a story that drives decisions, especially to non-technical stakeholders or regulatory bodies.

  • Interactive dashboards (e.g., Power BI, Tableau)
  • Principles of visual perception
  • Narrative structures for data presentation
  • Ethical data visualisation

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • Assay Development & Validation
  • Design of Experiments (DoE)
  • Good Laboratory/Manufacturing Practice (GLP/GMP)
  • Technology Transfer
  • Root Cause Analysis (RCA)
  • Intellectual Property (IP) Strategy

14The pathway

The pathway

How you actually get there, here

How you become one varies far more by country than what one does. This is the UK route. Most people take one of these ways in; the right one depends on where you're starting from.

  1. 1

    From Senior Scientist (L3)

    3-5 years as a Senior Scientist

    Skills to master

    • You'd have already mastered complex experimental design and method development. The jump to Lead means taking on formal team leadership, budget management, and architecting entire research programmes, not just workstreams.

    You're ready to move on when

    • Successfully led multiple complex workstreams independently.
    • Consistently mentored junior scientists, showing a knack for developing others.
    • Demonstrated strong problem-solving skills for novel scientific challenges.
    • Proactively identified and proposed new research directions or methodological improvements.
  2. 2

    From Principal Scientist at a smaller company

    Direct entry, assuming equivalent scope

    Skills to master

    • You'd already have the leadership and programme design experience. The challenge here is adapting to our specific scientific domain, internal processes, and potentially a larger, more complex organisational structure.

    You're ready to move on when

    • Managed a small team or significant scientific programme.
    • Accountable for key scientific deliverables in a previous role.
    • Strong track record of innovation and problem-solving.
    • Ability to quickly learn and adapt to new scientific areas and company culture.
  3. 3

    From Postdoctoral Researcher (with industry experience)

    5-7 years post-PhD, including 2-3 years in industry

    Skills to master

    • While your scientific depth is likely excellent, you'd need to build out your formal team leadership, project management, and regulatory compliance experience. Industry context and commercial awareness are key.

    You're ready to move on when

    • Successfully managed an independent research project (e.g., PhD/Postdoc).
    • Published high-impact scientific work.
    • Demonstrated ability to secure funding or manage grants.
    • Completed an industry postdoc or gained initial industry experience, understanding commercial drivers.

15Where this role leads

The long view: This work can lead to director-level roles overseeing multiple labs or a wider R&D function, or to a distinguished scientist role focused on research and innovation rather than management.

The ten Future Fluencies

Zavmo analysis

The credential is what you can do today. These are what keep you valuable.

A qualification proves you can do the job as it's defined today. These ten are what decide whether you're still the obvious person for it in five years. They're the capabilities employers are now writing into senior roles faster than people are learning them. Zavmo weaves them through whatever you study, so you come out with both: the credential and the fluency.

The highlighted ones are the Fluencies your role leans on hardest, from how Head of Laboratory is actually changing.

How you would learn this

One to one, on the work you already do

A tutor sets the task against your own job and marks the reasoning, at your pace. There is no cohort to fall behind.

A lesson from Measuring, weighing and preparing compounds and solutions for laboratory use, worked against Head of Laboratory.

Measuring, weighing and preparing compounds and solutions for laboratory use Level 3

Applied to your work in Head of Laboratory

The objective of this unit is to enable learners to accurately measure, weigh, and prepare compounds and solutions for laboratory use, adhering to safety protocols and quality standards. Learners will develop proficiency in using measuring equipment, preparing solutions to specified concentrations, and evaluating the quality of prepared substances, ensuring consistency and accuracy in laboratory procedures.

How the thinking builds
  1. 1 Remember
  2. 2 Understand
  3. 3 Apply
  4. 4 Analyse
  5. 5 Evaluate
  6. 6 Create
An illustration of a Zavmo lesson, built from this role’s own route. The unit, its objective and every criterion above are the awarding body’s own words, not an example.

It is £70 a month, billed monthly. Your free first module is Future Fluency, and you can cancel any time.

See Your Progress Grow Illustration
Head of Laboratory
  • Assay Development & Validation
  • Design of Experiments (DoE)
  • Good Laboratory/Manufacturing Practice (GLP/GMP)
  • Technology Transfer
  • Root Cause Analysis (RCA)
  • Intellectual Property (IP) Strategy
This is your Mind Palace on learn.zavmo.ai. Every skill above comes from this role's own record, not an example borrowed from another job. A node lights up when you evidence it, and what you build stays yours between jobs. That is the part a course cannot do.

16The detail, folded away

Everything else the record holds

The career branches in full, how AI is already showing up in the day-to-day, and the questions people ask about this job. Here when you want them, out of the way while you decide.

Where it leads next, rung by rung

Where it leads

The career path, and where it branches

Head of Laboratory is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. Laboratory Manager / Associate Director (L5)

    3-5 years in the Lead Head of Laboratory role

    This is a step up to managing the entire lab's operations, not just a specific programme. You'll be accountable for the lab's overall budget, personnel, and functional deliverables.

    • Defining and optimising overall lab workflows and operational efficiency.
    • Leading major capital expenditure projects for new instrumentation.
    • Representing the lab in cross-functional leadership meetings.
    • Developing and implementing lab-wide quality systems and compliance strategies.
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, leading a lab means juggling a lot. From designing experiments to managing your team and wading through mountains of data, your plate's always full. Imagine if you could offload some of the repetitive, time-consuming tasks to an intelligent assistant. That's exactly what AI can do for you and your team.

We're not talking about replacing scientists; we're talking about giving you superpowers. AI tools are already transforming how we analyse data, design studies, and even draft essential documentation in R&D. For a Lead Head of Laboratory, this means more time for strategic thinking, deeper scientific exploration, and more effective team mentorship.

Automated Data Analysis & Integration

Use AI-powered software to automatically integrate peaks from chromatography data (HPLC/GC), count cells in microscopy images, or analyse complex plate reader data. This eliminates hours of manual, subjective clicking and measurement, giving your team more time for interpretation and critical thinking. You'll get cleaner, faster results, letting you make decisions quicker.

Predictive Experiment Design & Optimisation

Leverage machine learning models to analyse vast amounts of past experimental data and predict the likely outcomes of new experiments. This helps you optimise your Design of Experiments (DoE) by focusing on the highest-impact variables, significantly reducing the number of costly wet-lab runs. Imagine knowing the most efficient path to a robust method before even starting in the lab.

Accelerated Scientific Literature Review

Employ AI research assistants (like Scite.ai or Elicit.org) to rapidly screen thousands of scientific papers, summarise key findings, identify emerging trends, and surface novel methodologies relevant to your current research problems. This means you and your team can stay on the cutting edge without drowning in PDFs, informing your programme design with the latest knowledge.

SOP & Report Drafting Assistant

Use a generative AI assistant to create the first draft of tedious documentation like Standard Operating Procedures (SOPs), validation protocols, or investigation reports based on structured data inputs and templates. Your team then edits and refines the output, saving significant time on administrative tasks and ensuring consistency across documents. Think of it as having a super-fast, highly accurate technical writer on demand.

Common questions

Common questions

How do you become a Head of Laboratory?

Common routes in include From Senior Scientist (3-5 years as a Senior Scientist), From Principal Scientist at a smaller company (Direct entry, assuming equivalent scope) and From Postdoctoral Researcher (with industry experience) (5-7 years post-PhD, including 2-3 years in industry). Times vary with prior experience.

Where can a Head of Laboratory progress to?

This role can lead on to Laboratory Manager / Associate Director (3-5 years in the Lead Head of Laboratory role), depending on the skills you build.

What new skills matter most for a Head of Laboratory?

Increasingly, Prompt Engineering & LLM Integration for R&D and Advanced Data Visualisation for Storytelling. These are the skills our record of this role lists as growing.

Free tools

Want a read on where you stand?

Three free tools, no account needed. Each one ends with a role, a level and a way in.

17Where to go from here

Other roles at Level 5

Same depth of qualification, different job. Useful if the work appeals but this particular role does not.

This job at other levels
More jobs in research and development

Stay in the field you know and move sideways rather than up.

If you leave this industry

The skills involved transfer to other research-heavy industries, such as diagnostics, medical devices or advanced materials. Experience working in regulated environments such as GLP or GMP settings is valued across life sciences.

This role profile is © 2026 Growth Engineering Technologies Ltd. Built from UK occupational standards and regulated qualification data, and written for Zavmo.

You're not behind. You're right on time. The shift is only just beginning. Your role won't look the same in two years. Be the one who leads the change, not the one it happens to. Start my free Automation Fluency module What happens next: a free account, then we build your plan as you set up. No card. Build your plan, see your roadmap and meet the twelve tutors matched to you. All free. When you're ready to start learning, it's £70 a month, billed monthly. Cancel any time and billing stops.