Director of AI for Next-Gen Drug Discovery

Nxera Pharma Co.; Greater London; On-site; GBP 125,000 - 150,000; Full time

Job summary

An innovative pharmaceutical company is seeking a Director of AI Research & Engineering to lead the development of advanced AI and machine learning capabilities in drug discovery. This role focuses on integrating AI into various aspects of the discovery pipeline, enhancing processes like structure determination and ligand discovery. The ideal candidate will have a PhD in a related field, experience in AI/ML applications, and a proven track record in leadership and innovation. Competitive compensation and benefits are offered, including a modern R&D center in Cambridge.

Benefits

Competitive compensation package

Discretionary cash bonuses

Private Medical Insurance

Employer contribution to pension

Health and wellbeing benefits

Qualifications

• 5+ years of experience applying AI/ML to life sciences, drug discovery, or healthcare innovation.
• Proven leadership in developing and deploying AI systems at scale.
• Publications or patents in deep generative chemistry or protein design.

Responsibilities

• Lead the design and deployment of AI methods in Nxera’s discovery pipeline.
• Collaborate with chemists and biophysicists to integrate AI models with experimental pipelines.
• Oversee scalable data infrastructure and model lifecycle management.

Skills

AI/ML application in life sciences

Generative models

Protein structure prediction

Molecular property prediction

Natural-language processing

Graph neural networks

Deep learning frameworks

Cloud-native ML infrastructure

Chemoinformatics

Team leadership

Education

PhD in Computer Science or related field

Tools

PyTorch

TensorFlow

JAX

AWS SageMaker

Azure ML

Job description

An innovative pharmaceutical company is seeking a Director of AI Research & Engineering to lead the development of advanced AI and machine learning capabilities in drug discovery. This role focuses on integrating AI into various aspects of the discovery pipeline, enhancing processes like structure determination and ligand discovery. The ideal candidate will have a PhD in a related field, experience in AI/ML applications, and a proven track record in leadership and innovation. Competitive compensation and benefits are offered, including a modern R&D center in Cambridge.