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Software Engineer, AI Enablement (Full stack)

Genentech

$115,000 - $214,000
Nov 5, 2025
San Francisco, CA, US
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Roche's Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) need to leverage advances in AI, data, and computational sciences to transform drug discovery and development. Seamless data sharing and access to models across gRED and pRED are essential to maximizing these opportunities. The new Computational Sciences Center of Excellence (CoE) aims to harness the transformative power of data and Artificial Intelligence (AI) to assist scientists in delivering more innovative and transformative medicines.

Requirements

  • Strong proficiency in either a front-end framework (React.js or similar) and a Python, Java, or Rust backend web framework (Django, Spring, Rocket, or similar).
  • Experience with relational databases, NoSQL databases, or data lakes and experience working on cloud-native architectures in public clouds (ideally AWS).
  • Proven understanding and application of engineering best practices.
  • Ability to quickly acquire new technologies and programming languages
  • Experience with biological data and processes is a strong plus.
  • Experience working with scientists or in a research environment is advantageous.
  • Bachelor’s or Master’s degree in Computer Science or similar technical field, and 2+ years of professional experience in full-stack software development

Responsibilities

  • Design, develop, and test robust, scalable, and maintainable web applications and backend systems.
  • Develop and maintain systems for collecting, structuring, and storing diverse scientific data that support advanced analytics, machine learning, and other data-driven initiatives.
  • Implement user-friendly interfaces and intuitive user experiences.
  • Contribute to architectural decisions, code reviews, and the evolution of our development processes.
  • Be willing to span the stack and contribute where needed, even outside of your core area of expertise.
  • Partnering with colleagues to build, deploy and evolve a modern tech stack and utilities to enable our AI/ML and agentic efforts will be a key foundation to our success.
  • build and deploy AI based solutions that reshape and transform business processes in order to unlock value at scale and optimise workflows.

Other

  • Partner with product managers and scientists to understand user needs, shape requirements, and translate them into actionable technical specifications.
  • Stay up-to-date with emerging technologies and industry best practices and adopt a culture of continuous learning, collaboration, and curiosity.
  • Excellent communication skills and ability to build trusted partnerships with internal and external collaborators.
  • passion for continuous learning.
  • Relocation benefits are available for this posting.