Roche-posted 4 months ago
$162,600 - $302,000/Yr
Full-time • Senior
South San Francisco, CA
5,001-10,000 employees

A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche. Advances in AI, data and computational sciences are transforming drug discovery and development. Roche’s Research and Early Development organizations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The Computational Sciences Center of Excellence (CS CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and life-changing medicines for patients worldwide. Within the CS CoE organisation, the Data and Digital Catalyst (DDC) organization leads the modernization of our computational and data ecosystems by integrating digital technologies across Research and Early Development to empower stakeholders, advance data-driven science and accelerate decision-making. The Solutions team within the DDC Organization develops modernized and interconnected computational and data ecosystems. The Data Ecosystem is foundational to building solutions that accelerate the work done by our Computational and Bench Scientists and enable ML/AI tool creation and adoption. Our team specializes in building Data Pipelines and Applications for data acquisition, collection, storage, transformation, linkage and sharing.

  • Build robust and scalable systems that unlock the potential of diverse scientific data.
  • Contribute to building a modern, scalable and robust ecosystem of applications, agents and other tools to capture, move and prepare scientific data for analysis.
  • Design and implement components with scalability and reliability at their core.
  • Follow engineering best practices including code reviews, unit testing, and adherence to coding standards.
  • Boost productivity through AI-powered development tools and environments.
  • Engage with scientific stakeholders to understand their challenges and translate them into effective technology solutions.
  • Lead and deliver complex, user-friendly projects and tools in a fast-paced environment.
  • Provide technical leadership for ongoing initiatives and identify new opportunities.
  • Ensure technical excellence and innovation in solutions and capabilities.
  • Learn and improve Data Workflows, Application Architecture and Data Ecosystem.
  • Integrate diverse sets of data to power AI/ML and Natural Language Search.
  • Facilitate the implementation of AI models leveraging advances in machine learning.
  • Bachelor’s or Master’s degree in Computer Science or similar technical field, or equivalent experience.
  • 7+ years of experience in software engineering (Principal Software Engineer); 12+ years of experience (Sr. Principal Software Engineer).
  • Deep experience and technical understanding of modern web application development, platforms and data engineering approaches.
  • Strong skills in full stack development, including Front Ends using JavaScript, React or similar Libraries and Backends using Python or Java.
  • Extensive experience working with Databases, Data Analytics (SQL/NoSQL, ETL, ELT) and APIs (REST, GraphQL).
  • Experience with cloud-native architectures in public clouds (ideally AWS).
  • Ability to think strategically and optimize for the long term while acting with a sense of urgency.
  • Outstanding communication skills, capable of articulating technical concepts clearly.
  • Experience in integrating AI into applications and development practices.
  • Experience reducing Tech Debt and consolidating and deprecating legacy solutions.
  • Experience providing technical mentorship and leadership to junior developers.
  • Relocation benefits available.
  • Discretionary annual bonus based on individual and Company performance.
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