Senior AI Research Scientist – Drug Discovery
Location: London, UK (Hybrid)
Company: Series C Biotech AI Platform
Join the world’s first fully integrated AI drug discovery company that’s revolutionizing pharmaceutical development through advanced machine learning. With $292M raised from leading investors, including Temasek and Goldman Sachs, we’re transforming how medicines are discovered and developed, reducing the traditional 15-20 year drug development timeline through our proprietary Platform.
Our AI-driven approach has already yielded multiple drug candidates in clinical trials, with recent partnerships spanning AstraZeneca collaborations and breakthrough research into neurodegenerative diseases. As we expand our pipeline across key therapeutic areas and advance our growing portfolio of AI-generated drug targets, we’re at the forefront of applying artificial intelligence to solve some of humanity’s most challenging health problems.
What You’ll Do:
- Develop machine learning models for drug target identification and validation
- Build AI systems for molecular design and drug-target interaction prediction
- Apply NLP techniques to extract insights from vast biomedical literature datasets
- Collaborate with wet-lab scientists to validate AI-generated hypotheses
- Research novel approaches for precision medicine and personalized drug development
Requirements:
- PhD in Computer Science, Bioinformatics, Computational Biology, or related field
- 5+ years experience in machine learning applications to life sciences
- Expertise in graph neural networks, molecular modeling, and cheminformatics
- Strong background in Python, PyTorch/TensorFlow, and scientific computing
- Knowledge of drug discovery pipelines and pharmaceutical development preferred
What We Offer:
- £90k-£130k + equity in a mission-driven biotech unicorn
- Opportunity to directly impact patient lives through breakthrough drug discovery
- Collaborate with world-class computational and experimental scientists
- Access to proprietary datasets and cutting-edge AI infrastructure