Director of Research Development

Hlx Life Sciences
London
11 months ago
Applications closed

Related Jobs

View all jobs

Director of Machine Learning

Machine Learning Engineer

Senior Consultant Data Scientist

Vice President, Head of Discovery Data Science

Principal Data Scientist

Director Data Science

Director of R&D: Database Growth

We are seeking an experienced leader to drive innovation in database growth for a global biodiscovery initiative. This role focuses on developing and optimising methods to enhance data generation, quality, and scalability. Based in London, the successful candidate will establish and manage a high-performing R&D team while collaborating with cross-functional teams in biodiversity partnerships, production, and data science.


Key Responsibilities:

  • Lead strategic R&D efforts to improve database growth methodologies.
  • Recruit, mentor, and manage a team of scientists, fostering a high-performance culture.
  • Develop and implement novel molecular biology and sequencing techniques.
  • Work closely with internal teams to integrate new methodologies into production workflows.
  • Stay informed on emerging technologies and approaches to enhance database expansion.


Requirements:

  • 5+ years of experience leading high-performing R&D teams.
  • Strong background in molecular biology, next-generation sequencing, and non-model organism research.
  • Ability to manage interdisciplinary projects involving both laboratory and computational components.
  • Strategic mindset with a proven track record of delivering impactful innovations.


What We Offer:

  • A key leadership role in a dynamic and fast-moving field.
  • A collaborative and flexible work environment that supports professional development.
  • The opportunity to contribute to groundbreaking research in global biodiversity.
  • A diverse and inclusive team that values innovation and interdisciplinary collaboration.


If you are passionate about unlocking biodiversity’s potential for scientific discovery and innovation, we encourage you to apply.

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.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

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.