United Kingdom · Research and development · 0-2 years

Director, Advanced Research Lab

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.

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Experience band0-2 years
Direct reports25-100+ reports
Reports toVP of Research & Development
UK framework levelUsually a professional owning their own work, or leading a small team

Also advertised as Head of Research & Innovation · VP of Research Programmes · Chief Scientist (Lab Operations) · Director of R&D Portfolio

Built on 43,079 real UK job descriptions we analysed · grounded in qualifications employers recognise

Two short quizzes about you

1From this job to a course

The qualifications matched to this job

NCC Education Level 5 Extended Diploma in Computing with Data Science NCC Education Limited · Level 5 · covers 1 of 3 standards

NOCN Level 4 certificate for Data Analysts NOCN · Level 4 · covers 1 of 3 standards

NOCN Level 5 Diploma in Computer Engineering (Information Technology and Data Science) NOCN · Level 5 · covers 1 of 3 standards

NCFE CACHE Technical Level 3 Extended Diploma in Health and Social Care NCFE · Level 3 · covers 1 of 3 standards

Level 6 Award in Data-led Decision Making Institute of Sales Professionals · Level 6 · covers 1 of 3 standards

NOCN Level 3 VRQ in Data Science NOCN · Level 3 · covers 1 of 3 standards

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

The units you would start with

Introduction to Data Science and Big Data NCC Education Level 5 Extended Diploma in Computing with Data Science

Practical Data Science NOCN Level 4 certificate for Data Analysts

Apply the Concepts of Data Science to Computer Engineering NOCN Level 5 Diploma in Computer Engineering (Information Technology and Data Science)

Research skills for health and social care NCFE CACHE Technical Level 3 Extended Diploma in Health and Social Care

Data-led Decision Making Level 6 Award in Data-led Decision Making

Introduction to Data Science NOCN Level 3 VRQ in Data Science

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

Frontier Fluency the next wave, beyond mainstream AI

Change Fluency taking people through change

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Your Plan Illustration

Built for Director, Advanced Research Lab

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

Introduction to Data Science and Big Data NCC Education Limited · covers 1 of 3 standards Level 5
Practical Data Science NOCN · covers 1 of 3 standards Level 4
Apply the Concepts of Data Science to Computer Engineering NOCN · covers 1 of 3 standards Level 5
Research skills for health and social care NCFE · covers 1 of 3 standards Level 3
Data-led Decision Making Institute of Sales Professionals · covers 1 of 3 standards Level 6
Introduction to Data Science NOCN · covers 1 of 3 standards Level 3

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 Director, Advanced Research Lab?

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

AI Ethics & Responsible Innovation Governance
Open Science & Collaborative Research Models

Why each one is rising

The future skills this job leans on

AI Fluencyworking with AI as a thinking partner
Data Fluencyturning numbers into a decision
AI Governance Fluencyusing AI responsibly
Frontier Fluencythe next wave, beyond mainstream AI
Change Fluencytaking people through change

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 Director, Advanced Research Lab plan as you set up, starting with a Future Fluency module on using AI in your job. No card.

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

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3What this role really is

This job means running a research lab and setting its scientific direction. You decide which problems to pursue and which capabilities to build. It means running a small, high-stakes science operation inside a larger organisation, balancing discovery with commercial reality.

4What you'd actually use

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

MATLAB/Simulink or COMSOL Multiphysics Strategic

Evaluating and selecting simulation platforms based on long-term research goals, approving budget for high-performance computing (HPC) resources, and guiding managers on complex modelling approaches.

Python (Pandas, SciPy, Matplotlib) or OriginLab Strategic

Defining data governance policies for research data, championing the use of advanced analytics platforms to drive portfolio-level insights, and critically reviewing data analysis methodologies from your teams.

Benchling or LabWare (ELN/LIMS) Architect

Leading the selection and enterprise-wide implementation of ELN/LIMS systems, ensuring these systems meet regulatory and IP protection standards, and using system data for high-level portfolio reporting.

PatSnap or Derwent Innovation (Patent Search) Strategic

Setting the overall IP strategy based on platform analysis, making high-stakes patent filing decisions, and managing the patent portfolio budget in collaboration with legal.

Jira & Confluence Strategic

Using the aggregated data from Jira and Confluence to report on portfolio progress, resource utilisation, and strategic alignment to executive leadership and the board.

Anaplan (Financial Planning) Expert

Developing, defending, and managing the multi-million-pound annual lab budget, performing scenario planning, and forecasting resource needs for multi-year programmes.

Diligent Boards (Board Reporting) Expert

Preparing and presenting comprehensive research milestone reports, strategic updates, and budget proposals for board meetings, ensuring clarity and impact for executive decision-makers.

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 choice	Coming in	Where you are now	The step above
Research Programme Initiation	N/A	N/A	Propose and justify new research streams to Director.
Research Programme Initiation	Follows established procedures.	Makes independent decisions within scope.	Sets direction and approves major decisions.
Budget Allocation (within lab)	N/A	N/A	Manage project-level budgets up to £50K, with manager approval.
Budget Allocation (within lab)	Follows established procedures.	Makes independent decisions within scope.	Sets direction and approves major decisions.
'Go/No-Go' Decisions for Research Projects	N/A	N/A	Recommend 'Go/No-Go' decisions for individual projects to research manager.
'Go/No-Go' Decisions for Research Projects	Follows established procedures.	Makes independent decisions within scope.	Sets direction and approves major decisions.
Hiring & Team Structure	N/A	N/A	Provide input on hiring for junior roles.
Hiring & Team Structure	Follows established procedures.	Makes independent decisions within scope.	Sets direction and approves major decisions.
External Partnerships & Grant Applications	N/A	N/A	Assist with drafting sections of grant applications.
External Partnerships & Grant Applications	Follows established procedures.	Makes independent decisions within scope.	Sets direction and approves major decisions.

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.

R&D Portfolio Alignment Score

How well the lab's active research programmes align with the overall corporate strategic objectives.

Target · 4.5/5 on quarterly C-Suite review

After a Q2 review, the CEO rates the lab's portfolio alignment at 4.7/5, noting strong progress on quantum computing research, a key strategic pillar for the next decade.

Successful Technology Transfers

The number of mature technologies (TRL 7+) successfully handed off to a business unit for commercialisation or product integration.

Target · 2-3 per year

In 2024, the lab successfully transferred a novel battery chemistry to the EV division and an AI-powered diagnostic tool to the MedTech unit, both now in advanced product development.

External Funding Secured

The total value of grants, consortium funding, or other non-dilutive capital secured from external sources.

Target · Equal to 20% of the lab's internal operating budget

The lab's internal budget is £10M. You secured £2.5M in government grants and industry partnerships, exceeding the 20% target.

IP Portfolio Strength & Coverage

The number of high-quality patent applications filed and granted, focusing on strategic areas, and the breadth of our IP defence.

Target · Patent grant rate > 75% of filings; 5-8 strategic patent applications per year

Out of 10 patent applications filed last year, 8 were granted, and the new filings covered critical areas in advanced materials, blocking key competitor pathways.

Research Budget Adherence

Managing the multi-million-pound research budget effectively, staying within approved variances.

Target · Within ±5% variance of approved budget

The Q3 budget was £2.5M, and actual spend was £2.4M, a 4% underspend, due to careful resource allocation and renegotiated vendor contracts.

Strategic Influence & Thought Leadership

Your ability to shape the company's long-term technology strategy and represent the organisation as a leader in the scientific community.

You're regularly invited to C-Suite strategic planning sessions
your insights are sought on major investment decisions
you present at industry conferences
your team's work is cited in key publications.

Talent Development & Retention

Building and maintaining a world-class research team, fostering a culture of innovation, and ensuring key talent stays with us.

High retention rates for top scientists
successful internal promotions
positive feedback in skip-level meetings about team culture
your lab is seen as a desirable place for top PhDs to work.

Effective 'No-Go' Decision Making

The ability to make tough, data-driven decisions to kill underperforming projects early, freeing up resources for more promising avenues.

Projects are routinely reviewed and, when necessary, stopped at stage-gates
clear rationale is provided for 'no-go' decisions
resources are quickly reallocated to high-potential areas
business units trust your judgment on project viability.

Cross-Functional Collaboration & Advocacy

How well you work with other departments (e.g., Product, Engineering, Commercial) to ensure research insights are understood and adopted, and the lab's needs are met.

Regular, productive meetings with business unit leaders
research projects are co-developed with clear commercial pathways
you're seen as a trusted partner, not just 'the science guy'
procurement issues are resolved efficiently due to your relationships.

7Would you like it

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

What people enjoy

Shaping the Future

You'll spend your days thinking about what our company will be doing in 5, 10, even 20 years, and directing the research that makes that future possible. This means reviewing long-range roadmaps, approving exploratory projects, and constantly scanning the horizon for the next big scientific shift.

Leading the charge on a multi-year programme into sustainable energy solutions, knowing that if successful, it could redefine our entire business model and contribute significantly to global environmental goals.

Leading Brilliant Minds

You get a real buzz from leading a team of world-class scientists and engineers. This involves mentoring your managers, helping them unstick their teams, and creating an environment where truly innovative work can flourish. It's about empowering genius, not micromanaging it.

Successfully mediating a scientific dispute between two highly respected Principal Scientists, allowing their combined expertise to unlock a critical breakthrough, and then seeing one of your managers get promoted to Director elsewhere.

Translating Science to Impact

You love the challenge of taking a complex scientific discovery and figuring out how it can actually make a difference in the market. This means constantly engaging with business unit leaders, pitching new technologies, and guiding projects through the often-messy process of 'tech transfer' from lab to product.

Successfully convincing the board to invest an additional £5M into a novel material science project after demonstrating its potential to reduce manufacturing costs by 30% for our core product line.

What frustrates people

The 'ROI Squeeze': Constantly justifying long-term research spend to short-term focused finance teams.
The 'Pet Project' Problem: Dealing with executive mandates for scientifically dubious projects.
Commercialisation Purgatory: Seeing promising tech die in the 'Valley of Death' due to lack of business unit adoption.
The Poaching War: Losing top talent to competitors offering higher salaries and equity.
Procurement Gridlock: Critical research delayed by slow internal purchasing processes.
Managing Geniuses: The challenge of leading and resolving conflicts among highly intelligent, strong-willed experts.
The Translation Gap: Repeatedly explaining fundamental scientific concepts and the non-linear nature of discovery to non-technical leadership.

What this role does not give you

A predictable, linear path from research idea to market product.
Complete autonomy over budget without rigorous justification and defence.
A quiet, purely academic environment free from commercial pressures.
Guaranteed success for every research programme you initiate.
Freedom from internal politics or the need to constantly influence stakeholders.

8Who you work with

This role directly shapes the long-term technological trajectory of the entire organisation. Your decisions determine which emerging technologies we invest in, which scientific risks we take, and ultimately, what our product pipeline looks like in 5-10 years. You're the bridge between pure science and commercial application, responsible for de-risking novel technologies and ensuring a steady flow of innovation that can drive significant revenue growth and market differentiation. Get it right, and we lead the market; get it wrong, and we're playing catch-up.

Inside the business

VP of Research & Development
C-Suite (CEO, CTO, CFO)
Heads of Business Units (e.g., Product, Engineering, Commercial)
Legal & Intellectual Property Teams
Finance & Procurement Departments

Outside the business

Academic Research Partners
Government Funding Agencies (e.g., Innovate UK, EPSRC)
Industry Consortiums
Key Technology Vendors
Potential M&A Targets

9What you need before you start

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

A proven track record of leading large, complex research programmes and managing multi-million-pound budgets in an advanced R&D setting (either industry or academia).
Demonstrable experience in building and leading highly effective scientific teams, including managing managers and principal scientists.
Significant experience in translating fundamental research into tangible technological advancements, navigating the 'Valley of Death' to successful tech transfer.
A strong publication and/or patent record, indicating a history of impactful scientific contributions and innovation.
Experience in securing significant external funding (grants, partnerships) for research initiatives.
Proven ability to influence and communicate effectively with C-Suite executives and external stakeholders on strategic technology matters.

10What to practise next

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

Advanced Materials Informatics & Digital Twins

The discovery and design of new materials is being revolutionised by computational methods. Materials informatics, coupled with digital twin technology, allows for accelerated design, simulation, and optimisation, drastically reducing experimental cycles and time-to-market.

High-throughput computational materials design · Integrated computational materials engineering (ICME) · Digital twins for material performance prediction · Autonomous experimentation platforms

This quarter: Commission an internal review of current materials research projects to identify opportunities for informatics integration.
Next 6 months: Investigate and potentially pilot a new materials informatics software platform or hire a specialist in this area.
Next 12 months: Develop a strategic plan for integrating digital twin capabilities into at least one major materials research programme.
Ongoing: Stay updated on breakthroughs in autonomous labs and their potential for our research.

Quick win: Identify one current materials project with extensive experimental data and challenge your team to apply basic machine learning (e.g., regression) to predict material properties, even if it's just a proof of concept.

Quantum Computing Implications for R&D

While still nascent, quantum computing promises to solve problems intractable for classical computers, particularly in areas like drug discovery, materials science, and complex optimisation. As Director, you need to understand its potential and prepare for its eventual impact, even if it's a decade away.

Quantum algorithms for chemistry and materials simulation · Quantum machine learning · Hardware limitations and error correction in quantum systems · Hybrid quantum-classical computing approaches

This quarter: Read introductory materials on quantum computing for executives; attend a webinar on its R&D applications.
Next 6 months: Engage with external quantum computing experts or academic groups to understand the state-of-the-art and potential for our specific industry.
Next 12 months: Sponsor a small internal 'quantum exploration' project (e.g., using a quantum simulator or cloud-based quantum computer) to build internal expertise.
Ongoing: Incorporate quantum computing readiness into your long-term technology roadmap, even if it's a small allocation of 'blue sky' research.

Quick win: Subscribe to newsletters from leading quantum computing companies or research institutes to keep a pulse on major breakthroughs and industry trends.

11Staying current once you are in

What people here do to keep up

Regularly attending and presenting at international scientific conferences and industry forums to stay abreast of cutting-edge research and build your professional network.
Engaging in executive education programmes focused on innovation leadership, strategic R&D management, or technology commercialisation.
Mentoring junior scientists and managers, both within and outside the organisation, to foster the next generation of research leaders.
Serving on advisory boards for academic institutions, government funding bodies, or industry consortia to influence the broader research landscape.
Subscribing to leading scientific journals and technology foresight publications to maintain a broad understanding of emerging trends.

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.

AI Ethics & Responsible Innovation Governance

As AI becomes embedded in every stage of research, from hypothesis generation to experimental analysis, understanding and governing its ethical implications is paramount. Regulators and the public will demand transparency and accountability, and our reputation depends on it.

Bias detection and mitigation in AI models
Explainable AI (XAI) for scientific validation
Data privacy and security in AI-driven research
Societal impact assessment of emerging technologies

Open Science & Collaborative Research Models

The pace of scientific discovery is accelerating, and no single lab can do it all. Open science principles, shared data, and large-scale collaborations are becoming essential for tackling grand challenges and accelerating innovation. We need to be part of this ecosystem.

FAIR data principles (Findable, Accessible, Interoperable, Reusable)
Pre-registration of research protocols
Distributed research networks and consortia management
Blockchain for research data provenance and IP protection

13What you’ll use

What you’ll use

Skills this role draws on

Technical

Technology Readiness Levels (TRL) Assessment
Stage-Gate (or Phase-Gate) Portfolio Management
Intellectual Property (IP) Strategy
Technology Scouting & Roadmapping
Grant Writing & External Funding Acquisition
Design of Experiments (DoE) & Advanced Statistics

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
Principal Scientist (Internal Promotion)
5-8 years as Principal Scientist
Skills to master
- Moving from being the top technical expert to a strategic leader. This means mastering portfolio management, budget defence, and executive influence, beyond just deep technical problem-solving. You'll need to learn to delegate technical work and focus on strategic direction.
You're ready to move on when
- Successfully led multiple large-scale, multi-disciplinary research projects from concept to tech transfer.
- Demonstrated ability to mentor and indirectly lead junior scientists and project teams.
- Proven track record of influencing senior stakeholders on technical strategy and investment decisions.
- Actively contributed to the lab's IP strategy and secured external funding.
2
Research Manager / Group Leader (Internal Promotion)
5-7 years as Research Manager
Skills to master
- Scaling your leadership from managing a single team to overseeing multiple groups and a broader research portfolio. This involves developing skills in organisational design, strategic resource allocation across diverse projects, and managing managers. You'll also need to deepen your understanding of the commercialisation process.
You're ready to move on when
- Successfully managed a team of 10+ scientists, delivering consistent project outcomes and fostering talent.
- Managed budgets of £500K-£1M+ and demonstrated strong financial acumen.
- Developed and executed research plans that directly contributed to business unit objectives.
- Showcased strong interpersonal skills in resolving team conflicts and motivating diverse personalities.
3
Director of R&D (from another company)
Direct lateral hire
Skills to master
- Adapting to our specific organisational culture, strategic priorities, and existing research portfolio. You'll need to quickly build credibility with our C-Suite and integrate your leadership style with our existing teams. Understanding our legacy systems and internal political landscape will be key.
You're ready to move on when
- Proven experience leading a comparable-sized research organisation with similar strategic challenges.
- Demonstrable success in driving innovation and tech transfer in a relevant industry sector.
- Strong external network and reputation as a leader in advanced research.
- Ability to quickly assess and integrate into a new organisational structure and culture.

15Where this role leads

The long view: This work can lead to roles such as Chief Scientific Officer or Non-Executive Director, or to advising deep tech startups as a venture partner or consultant.

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 Director, Advanced Research Lab 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 Introduction to Data Science and Big Data, worked against Director, Advanced Research Lab.

Introduction to Data Science and Big Data Level 5

Applied to your work in Director, Advanced Research Lab

The objective of this unit is to provide learners with a systematic understanding of Data Science and Big Data concepts, including their characteristics and applications. Learners will develop proficiency in data collection, design, and modelling techniques, and will be able to select appropriate tools for data pre-processing and apply analytical techniques to generate insights from data.

How the thinking builds

1 Remember
2 Understand
3 Apply
4 Analyse
5 Evaluate
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.

Start my Director, Advanced Research Lab plan, free

See Your Progress Grow Illustration

Director, Advanced Research Lab

Technology Readiness Levels (TRL) Assessment
Stage-Gate (or Phase-Gate) Portfolio Management
Intellectual Property (IP) Strategy
Technology Scouting & Roadmapping
Grant Writing & External Funding Acquisition
Design of Experiments (DoE) & Advanced Statistics

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

Director, Advanced Research Lab is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

VP of Research & Development
3-5 years

From leading a single advanced research lab to overseeing the entire R&D function across multiple labs or divisions.
- Defining and owning the multi-year R&D budget for the entire organisation (£10M+).
- Leading large-scale organisational transformations within the R&D function.
- Representing the company as a key technology spokesperson in the media and at high-profile industry events.
- Building and managing relationships with C-Suite peers to drive cross-functional alignment on innovation.
Chief Technology Officer (CTO) / Chief Innovation Officer (CIO)
5-8 years

From leading research to owning the entire technology vision and strategy for the company, encompassing both research and product development.
- Defining the company's overall technology stack and future technology investments.
- Leading large engineering and product development teams in addition to research.
- Shaping the company's external technology partnerships and ecosystem strategy.
- Communicating the company's technology vision to investors, customers, and the public.

Working with AI on the job

Working with AI

Where AI is starting to help

Imagine having a personal research assistant, strategic analyst, and report writer all rolled into one. That's what AI can do for you as Director of the Advanced Research Lab. It's not about replacing your brilliant mind, but augmenting it, freeing you up to focus on the truly strategic, human-centric challenges of leading innovation.

In a role where you're constantly balancing long-term vision with immediate demands, AI isn't just a nice-to-have; it's a game-changer. It helps you cut through the noise, synthesise vast amounts of information, and communicate complex ideas more effectively, letting you dedicate more time to setting strategy, building your team, and influencing critical stakeholders.

Automated Literature & Patent Synthesis

Use AI tools to ingest and summarise thousands of academic papers, patents, and market reports in a new field overnight. This helps you quickly identify key researchers, novel techniques, white spaces for innovation, and potential IP risks, giving you a massive head start on new strategic initiatives. No more sifting through endless PDFs yourself.

Accelerated Experimental Analysis & Insights

Deploy machine learning models to analyse complex, high-dimensional data from your lab's sensors or imaging equipment. This helps uncover subtle correlations, predict failure modes, and identify unexpected breakthroughs that might be invisible to the human eye. Get insights from weeks to days, informing your 'Go/No-Go' decisions faster.

AI-Powered Hypothesis Generation

Leverage knowledge graphs and generative AI to propose novel hypotheses or new material combinations. By connecting disparate concepts from across scientific domains, these tools can spark entirely new avenues of research that your team might not have considered, augmenting your lab's creative problem-solving capabilities. It's like having an infinite brainstorming partner.

Grant & Board Report Drafting Assistant

Use a fine-tuned Large Language Model (LLM) to generate first drafts of grant proposals, internal progress reports, and critical board presentations. Feed it raw experimental data, meeting notes, and previous successful submissions, and watch it produce a coherent, professional draft, saving you and your managers countless hours of writing and editing.

Common questions

How do you become a Director, Advanced Research Lab?

Common routes in include Principal Scientist (Internal Promotion) (5-8 years as Principal Scientist), Research Manager / Group Leader (Internal Promotion) (5-7 years as Research Manager) and Director of R&D (from another company) (Direct lateral hire). Times vary with prior experience.

Where can a Director, Advanced Research Lab progress to?

This role can lead on to VP of Research & Development (3-5 years) and Chief Technology Officer (CTO) / Chief Innovation Officer (CIO) (5-8 years), depending on the skills you build.

What new skills matter most for a Director, Advanced Research Lab?

Increasingly, AI Ethics & Responsible Innovation Governance and Open Science & Collaborative Research Models. These are the skills our record of this role lists as growing.

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 Director, Advanced Research Lab plan, free 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.

Director, Advanced Research Lab

Where should we send it?

Two short quizzes about you

Will AI change your work as a Director, Advanced Research Lab?

What's rising in its place

AI Ethics & Responsible Innovation Governance

Open Science & Collaborative Research Models

Skills this role draws on

Technical

How you actually get there, here

Principal Scientist (Internal Promotion)

Research Manager / Group Leader (Internal Promotion)

Director of R&D (from another company)

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

Roles this leads to

One to one, on the work you already do

Everything else the record holds

The career path, and where it branches

VP of Research & Development

Chief Technology Officer (CTO) / Chief Innovation Officer (CIO)

Where AI is starting to help

Automated Literature & Patent Synthesis

Accelerated Experimental Analysis & Insights

AI-Powered Hypothesis Generation

Grant & Board Report Drafting Assistant

Common questions

Want a read on where you stand?