Lead Platform Engineer, AI-Driven Drug Discovery

Roche; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Roche is seeking a senior software engineer within the Computational Sciences Center of Excellence. You will design and build end-to-end software solutions that accelerate drug discovery, integrating data, AI, and scalable pipelines.

The role emphasizes strong cloud deployment skills, architectural leadership, and collaboration with scientific teams. Candidates should hold a PhD in life sciences or equivalent, with deep experience in Python/Java, React/Vue, and modern data architectures.

Qualifications

• Ph.D. or equivalent in life sciences with full-stack software experience.
• Backend and frontend expertise using Python/Java and React/Vue.
• Extensive data engineering and cloud deployments (AWS).
• Proven SDLC patterns, testing, CI/CD, observability.
• Proficient in AI-assisted and agentic coding workflows.
• Strong communication and collaboration with stakeholders.

Responsibilities

• Provide architectural leadership across projects and initiatives.
• Design and build interactive tools for drug discovery workflows.
• Develop scalable data ecosystems for analysis and sharing.
• Apply modern architectures (microservices, event-driven, cloud).
• Advance AI/ML capabilities and agentic coding practices.
• Mentor junior developers and align work with scientific partners.

Skills

Full-Stack

Data Engineering

Cloud Architecture

SDLC Practices

AI-assisted Development

Agentic Coding

Communication

Education

Ph.D. in Life Sciences

Tools

Python

Java

React

Vue

SQL

NoSQL

REST

GraphQL

Job description

Roche is seeking a senior software engineer within the Computational Sciences Center of Excellence. You will design and build end-to-end software solutions that accelerate drug discovery, integrating data, AI, and scalable pipelines.

The role emphasizes strong cloud deployment skills, architectural leadership, and collaboration with scientific teams. Candidates should hold a PhD in life sciences or equivalent, with deep experience in Python/Java, React/Vue, and modern data architectures.