Head of Data Science

KDR Talent Solutions
London
2 days ago
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Job Title:Head of Data

Type of Company:AI Biotechnology

Location:London (Hybrid)

Salary:Up to £140k base


The Company

Our client is a pioneering AI biotech company revolutionising medical research by merging human expertise with artificial intelligence. They focus on accelerating drug discovery and improving patient outcomes through AI-powered solutions.


The Role

As Head of Machine Learning, you will take a leadership role in driving the strategic development and application of machine learning methods to enhance drug discovery and therapeutic target identification. Leading the Frontier Research group, you will tackle complex challenges in the design of AI systems for drug development, applying advanced techniques to multimodal patient data. You will be a key decision-maker in shaping the future of AI-powered healthcare solutions and managing a high-performing team of experts.


  • Lead and oversee the development of advanced machine learning models to accelerate drug discovery and therapeutic solutions
  • Shape the strategic direction of the ML team, driving innovation in AI-powered drug development
  • Collaborate with senior leadership to align ML research with company goals and objectives
  • Guide the development of novel AI agents, improving the platform for drug discovery
  • Publish high-impact research and contribute to the company’s intellectual property and scientific reputation
  • Foster a collaborative, forward-thinking environment within the team, mentoring and developing talent


Your Experience

  • Proven experience leading machine learning teams, particularly in a high-impact, research-driven environment
  • Expertise in advanced machine learning techniques, with a focus on LLMs/genAI, optimisation, or sequential learning
  • Strong background in Python, deep learning frameworks (TensorFlow, PyTorch, Jax), and ML model development
  • PhD in Computer Science, Machine Learning, Applied Mathematics, or related field, or equivalent experience
  • A history of successful scientific publications and contributions to top ML conferences (NeurIPS, ICML)
  • Excellent communication skills, with the ability to represent technical expertise to both technical and non-technical stakeholders


If you fit the bill and are interested, please apply with an updated CV!

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