Director of Research Development

Hlx Life Sciences
London
2 weeks ago
Create job alert

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.

Related Jobs

View all jobs

Associate Director, Research and Innovation (Permanent & 12 month FTC)

(Only 24h Left) Associate Director, Research and Innovation- (12 Month FTC)

Data-Driven Forecasting Analyst – (Pharmaceutical Consultancy)

Principal Data Scientist - NLP

Global Account Director G60 Clients

Deputy Head of Service for Performance and Quality

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

AI Jobs for Non‑Technical Professionals: Where Do You Fit In?

Your Seat at the AI Table Artificial Intelligence (AI) has left the lab and entered boardrooms, high‑street banks, hospitals and marketing agencies across the United Kingdom. Yet a stubborn myth lingers: “AI careers are only for coders and PhDs.” If you can’t write TensorFlow, surely you have no place in the conversation—right? Wrong. According to PwC’s UK AI Jobs Barometer 2024, vacancies mentioning AI rose 61 % year‑on‑year, but only 35 % of those adverts required advanced programming skills (pwc.co.uk). The Department for Culture, Media & Sport (DCMS) likewise reports that Britain’s fastest‑growing AI employers are “actively recruiting non‑technical talent to scale responsibly” (gov.uk). Put simply, the nation needs communicators, strategists, ethicists, marketers and project leaders every bit as urgently as it needs machine‑learning engineers. This 2,500‑word guide shows where you fit in—and how to land an AI role without touching a line of Python.

ElevenLabs AI Jobs in 2025: Your Complete UK Guide to Crafting Human‑Level Voice Technology

"Make any voice sound infinitely human." That tagline catapulted ElevenLabs from hack‑day prototype to unicorn‑status voice‑AI platform in under three years. The London‑ and New York‑based start‑up’s text‑to‑speech, dubbing and voice‑cloning APIs now serve publishers, film studios, ed‑tech giants and accessibility apps across 45 languages. After an $80 m Series B round in January 2024—which pushed valuation above $1 bn—ElevenLabs is scaling fast, doubling revenue every quarter and hiring aggressively. If you’re an ML engineer who dreams in spectrograms, an audio‑DSP wizard or a product storyteller who can translate jargon into creative workflows, this guide explains how to land an ElevenLabs AI job in 2025.

AI vs. Data Science vs. Machine Learning Jobs: Which Path Should You Choose?

In recent years, the fields of Artificial Intelligence (AI), Data Science, and Machine Learning (ML) have experienced explosive growth. Spurred by the increase in data availability, advances in computing power, and the demand for intelligent decision-making, organisations of all sizes are investing heavily in these areas. If you’ve been exploring AI jobs on www.artificialintelligencejobs.co.uk, you’ve likely noticed that employers use terms like “AI,” “Data Science,” and “Machine Learning”—often interchangeably. While they are closely related, there are nuanced differences between these fields. Understanding these distinctions is key if you’re trying to decide which path suits you best. This comprehensive guide will help you differentiate among AI, Data Science, and Machine Learning. We will discuss the key skills for each, typical job roles, salary ranges, and provide real-world examples of professionals working in these fields. By the end, you should have a clearer idea of where your strengths and passions might fit, helping you take the next step towards securing your ideal role in the world of data-driven innovation.