National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Protein Design Research Scientist

GCS
London
5 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Research Scientist | Generative Models | Protein Design | Deep Learning | Pyth[...]

Machine Learning Scientist (with Structure-based Experience)

Senior Data Scientist - Scientific AI, Life Sciences

(Senior) Machine Learning Engineer, Biomolecule Design

Senior Machine Learning Engineer - Scientific AI

Senior Software Developer

️Role: Senior Protein Design Research Scientist

Series A, TechBio Startup

Location: London, UK (hybrid)

Salary: 80-115k + equity


Interested to work for a protein design company creating the next wave of AI for drug discovery?


If you have any experience withdesigning proteins, antibodies or enzymesI would love to hear from you!


Responsibilities:

  • Proficient in Python and experience with HPC and cloud environments and with tools like AlphaFold, RosettaFold, ProteinMPNN etc.
  • Lead the development of protein design filtering and ranking capabilities, leveraging AI and physics-based methods.
  • Experience with pre-training, refinement, fine-tuning, inference and scaling models and benchmarking predictive methods for protein design.
  • Experience with SOTA deep learning architectures including, such as, diffusion models, protein language models/transformer, GNNs.


Background:

  • A PhD in ML, Protein Design, ML for Antibody Design, Bioinformatics, Computational Biology, Computer Science or related areas.
  • 4+ work experience in a technical role, in agile fast-paced environments.
  • Experience with AI protein design, protein structure and property prediction methods.
  • Experience with protein structure databases as well as with protein structure preparation and curation.
  • Solid understanding of protein structure and function (e.g, protein-ligand interactions.)


Benefits:

  • Great Equity
  • Private Healthcare Insurance (dental + health)
  • Great Pension contribution


Click the Easy Apply button, looking forward for working with you!

National AI Awards 2025

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.

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.