Skip to content

Open nowPosted 4 days ago

Patent Analytics Expert (IP & Portfolio Analysis Products)

LexisNexis256 open roles

Pay
€59,300 – €98,600 a year
Where
Farringdon
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowPatent Analytics Expert (IP & Portfolio Analysis Products)LexisNexis · Farringdon
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on LexisNexis's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market. LexisNexis postings stay open a median of 49 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: posted 4 days ago

LexisNexis median: 49 days open

The posting

Patent Analytics Expert (IP & Portfolio Analysis Products)

Do you want your patent analytics expertise to shape the products and AI that others rely on?

Do you revel in testing a polished AI answer and finding exactly where its reasoning breaks down?

Come join us and help build the world's most trusted patent analytics and AI for IP and business decision-makers!

About the team:

LexisNexis Intellectual Property, part of RELX, helps the world's innovators, IP professionals, law firms, and investors understand patents: their own, their competitors', and those of the companies they are assessing. Our products, including PatentSight+, IPlytics and TotalPatent One, and the patent data we deliver directly into customers' own systems, inform decisions on R&D investment, licensing, litigation, M&A and competitive strategy.

Many of our customers use patents to make business decisions: comparing their portfolio with competitors', spotting acquisition or licensing targets, deciding what to keep or drop, or tracking where a technology is heading. Increasingly, they ask an AI assistant to help. We're looking for someone who knows what good answers to these questions look like, to help make sure our products, and the AI inside them, give them.

About the role:

"How does our portfolio compare with our three closest competitors?" "Which companies would strengthen our position in power electronics?" "What does this patent actually claim?" Answering questions like these well takes judgment: which companies to group together, how to count, which time window to use, how to read a claim, and what the numbers can and cannot support. AI can now produce a polished answer in seconds, which makes that judgment more important, because a convincing answer can still be a wrong one.

In this role, you will represent the people who ask these questions, and you will be forward deployed: working closely with the product and engineering teams building specific end-user experiences, rather than advising from a distance. You will define what a genuinely useful answer looks like across different use cases, contexts, and data scenarios, and encode that judgment in artefacts and other mechanisms, including AI agents, so it can scale. You will test our analytics and AI against it and help shape what we build next.

Key Responsibilities:

  • Be the voice, alongside the product and engineering teams building our end-user experiences, of the various types of end users who use patent analytics for business decisions: IP and portfolio managers, competitive-intelligence analysts, corporate development and M&A teams, R&D strategists and investors, by deeply understanding their needs, aspirations and the jobs they need to get done.
  • Define what good looks like across a broad range of AI-assisted uses, such as portfolio exploration and comparison, competitor benchmarking, technology and sector trends, acquisition and licensing target identification, portfolio optimisation, and patent summaries and claim interpretation.
  • Capture that definition in governed, versioned question sets, graded example answers, scoring rubrics, and acceptance criteria that teams build closed-loop evaluations on, and work closely with engineering teams to guide them as they build evaluation frameworks on these.
  • Perform structured human-in-the-loop evaluations and drive the eyes-on evaluation layer for our AI assistant and analytics features: design and carry out expert reviews, judge whether results meet the bar, and feed what you learn back into the standards.
  • Collaborate closely with other patent experts in the team to develop methods that scale eyes-on human evaluation.
  • Help engineering teams troubleshoot issues by working backwards from AI outputs to the underlying data sources, to identify root causes.
  • Help shape new AI use cases and features: spot questions customers cannot easily answer today, and test ideas with customers and our user research colleagues.
  • Scope and lead your own projects independently, from defining the problem to sharing recommendations with senior stakeholders.
  • Track how competitors and new AI tools serve these users, and flag opportunities and risks.
  • Help capture your judgment in tools and AI assistants that let others apply it at scale and evaluate those tools over time to detect drift and develop ways to recalibrate them.

Requirements:

  • Experience using patent data to answer business questions, for example in patent analytics, IP or innovation consulting, competitive intelligence, portfolio management, IP due diligence, or technology scouting.
  • A strong technical background, enough to read patents critically and interpret what their claims cover.
  • A solid understanding of patent data and its pitfalls for analysis, such as family counting, ownership roll-ups, legal status, citations, classification, and time effects
  • The ability to explain clearly why an analysis is or is not trustworthy, and what would make it better.
  • Hands-on analytical skills, for example with analytics platforms, Excel, SQL, or Python
  • Practical use of AI tools in your own analytical work beyond basic chat, including effective prompting, and a clear view of where they help and where they mislead.
  • Confidence working independently and presenting recommendations to senior, non-specialist audiences.
  • Curiosity about technology, industries and how decision-makers actually use what you give them.

Experience and education.

  • Typically, 3 or more years in patent analytics, competitive intelligence, IP consulting, portfolio management, or related roles; we will also consider candidates earlier in their careers who show strong promise.
  • A degree in a scientific, engineering, or technical subject, or equivalent practical experience; a further degree is a plus.

It would be great if you also have.

  • Hands-on experience with patent analytics platforms
  • Experience with AI evaluation, for example rubric-based scoring, LLM-as-a-judge, or human-in-the-loop review
  • Experience with M&A, IP due diligence, licensing, or portfolio valuation
  • Experience with prior-art or freedom-to-operate work.
  • A background in a technology-intensive industry or R&D
  • Experience working with product teams or user researchers.

You do not need to have worked for a data or software company before. We will help you learn how our products are built; you bring the analytical judgment and the customer's perspective.

This role is probably not for you if you'd rather produce analyses for clients than shape the products and AI that produce them, or if you're not keen to use AI tools in your work.

Why Join Us?

You'll help decide what good patent-based insight looks like for many different kinds of users worldwide, with the backing of a global group that has been building data, analytics and AI products for many years, and with colleagues who care about getting answers right.

In your application

Please tell us briefly about one of the following:

  • A time a patent-based analysis of a portfolio, competitor or technology, whether your own, a colleague's or AI-generated, gave a misleading picture: how you noticed, and what you would change in the method or the tool so it doesn't happen again.
  • A patent-based analysis you did that influenced a business decision, such as an R&D, acquisition, licensing or competitive-strategy choice: the question, your approach, and how you knew your answer could be trusted. What AI tools and workflows would you use if you were doing it today?

Work in a way that works for you

We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

· Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

Working for you

We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

  • Generous holiday allowance with the option to buy additional days.
  • Health screening, eye care vouchers, and private medical benefits
  • Wellbeing programs
  • Life assurance
  • Access to a competitive contributory pension scheme
  • Save As You Earn share option scheme.
  • Maternity, paternity, and shared parental leave
  • Employee Assistance Programme
  • Access to employee resource groups with dedicated time to volunteer.
  • Access to extensive learning and development resources
  • Access to employee discounts scheme via Perks at Work

About the business -

At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results.

If performed in any of the following locations: DEU – Home Based – Berlin; DEU Home Based – Merseburg; DEU Home Based – Bad Soden; Germany – Berlin (Leipziger Platz); Germany – Düsseldorf (LexisNexis); Germany – Karlsruhe; Germany – Merseburg; Germany – Bonn; Germany – Kusterdingen; Germany – DUS – Johannstrasse; Home Based – Baden‑Württemberg; Home Based – Bremen; Home Based – Lower Saxony; Home Based – North Rhine‑Westphalia; or Home Based – Rhineland‑Palatinate, the base pay range is €59,300 - €98,600.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.

Please read our Candidate Privacy Policy.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

USA Job Seekers:

EEO Know Your Rights.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against LexisNexis's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on LexisNexis's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    LexisNexis's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.