Key Account Manager

Lifelancer
York
1 year ago
Applications closed

Related Jobs

View all jobs

Lead/Senior Data Scientist - Ad Tech Locational Data

Lead/Senior Data Scientist - Ad Tech Locational Data

Senior Data Scientist - Retail Banking

Data Scientist

Data Scientist

Senior Machine Learning Engineer, Search & Recommendations

Integrated DNA Technologies (IDT) is the leading manufacturer of custom oligonucleotides and proprietary technologies for genomics applications. Our work is complex and cutting-edge, and our team members are curious, creative thinkers who understand that good data drives smart decisions. At IDT, we realize that although science may be uniform, people are unique. We promote a culture where engaged people are motivated and have opportunities to achieve their full potential, as part of one global team.


IDT is one of 10 Life Sciences companies of Danaher. Together, we accelerate the discovery, development and delivery of solutions that safeguard and improve human health.

TheKey Account Manageris part of the UK Nordics sales team and will be fully remote. At IDT, we are one global team. We celebrate our differences, engage in healthy debate, and are inclusive. Together, we accomplish great things.

In this role, you will have the opportunity to:

  • Drive sales growth and share gain in assigned key accounts in the UK and Nordic region.
  • Develop and execute the strategy and execution as well as the promotion, and sales of IDTs full portfolio of custom oligonucleotide solutions across key application areas such as Next Generation Sequencing, Molecular Diagnostics, Synthetic Biology, and qPCR.
  • Performs sales analysis and builds out forecast models based on product type/application for assigned key accounts.
  • Establish relationships and develop stakeholder strategy and plan with the different predominately focusing on stakeholders including decision makers and C-Suite level to maximize IDTs value proposition. Maintains documentation of key competitors product offerings including options, pricing, and positioning
  • Establishes and maintains close working relationships with key cross-functional stakeholders, including Sales, Marketing, Finance and Operations.
  • Negotiate complex deals that meet customer needs, while ensuring IDT profitability targets are achieved.

The essential requirements of the job include:

  • A proven background in sales/business experience with an established track record of top performance.
  • Previous key accounts management experience with clear examples of winning deals and driving expansion at key accounts.
  • Minimum a Masters degree in aLife Sciencerelated discipline. MBA orPhDis a plus.
  • Ability to demonstrate and speak to the various genomics applications to top tier customers (academic accounts, Government agencies) specificallyqPCR,CRISPR, and/orNGS.
  • Outstanding planning and organization skills with evidence of creation and execution of successful account growth plans within life science.
  • StrongCRMacumen.SFDCknowledge is preferred

Lifelancer (https://lifelancer.com) is a talent-hiring platform in Life Sciences, Pharma and IT. The platform connects talent with opportunities in pharma, biotech, health sciences, healthtech, data science and IT domains.

Please use the below Lifelancer link for job application and quicker response.

https://lifelancer.com/jobs/view/4d7eb171aa073200cce337cdf68d645e

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.