Job Specifications
The Position
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.
As a Software Engineer in the Solutions Engineering capability, you will work closely with colleagues such as Data Engineers, Product Leaders and Tech/ML Ops as well as directly with our key partners including Computational Scientists and Research Scientists. You will build robust and scalable systems that unlock the potential of our diverse scientific data, accelerating the discovery and development of life-changing treatments for patients. As part of this role, you’ll contribute to building a modern, scalable and robust ecosystem of applications, agents and other tools to capture, move and prepare the scientific data for analysis.
You are passionate about building scalable, reliable, and reusable capabilities for our shared platform. As a software engineer with strong experience in backend and/or frontend development, you design and implement components with scalability and reliability at their core. You bring hands-on expertise in cloud technologies and follow engineering best practices—including code reviews, unit testing, and adherence to coding standards—while boosting productivity through AI-powered development tools and environments.
Ideally, you are a full-stack software engineer or data engineer with domain knowledge in biology, chemistry, drug discovery, translational medicine, or a related scientific discipline. You thrive on leveraging platform components to build common solutions, and you excel at engaging with scientific stakeholders to understand their challenges and translate them into effective technology solutions in close collaboration with Product and Engineering teams.
The Opportunity:
Responsible for technical excellence and ensuring our solutions and capabilities are innovative, best-in-class and integrated by delivering data flows and pipelines within and across DDC and key domains like Research Biology, Drug Discovery, Translational Medicine and Development and more
Identify key trends, technologies, and methodologies, and promote their adoption by applying an Open Source, Cloud First, API First and AI First approach to problem-solving
Learn, deeply understand and improve our Data Workflows, Application Architecture and Data Ecosystem by leveraging standard patterns like layered architecture, microservices, event-driven, multi-tenancy, etc.
Ensure our technical choices are innovative, best-in-class and are inter-operable and consistent across DDC and domains like Research Biology, Drug Discovery, Translational Medicine and Development and more
Understand and influence technical decisions around data workflows and application development while working collaboratively with our key partners
Integrate diverse sets of data together to power AI/ML and Natural Language Search, as well as enable our downstream teams working on Workflows, Visualization and Analytics
Facilitate the implementation of AI models that take advantage of advances in machine learning and artificial intelligence
Who You Are:
Bachelor’s degree in Computer Science or similar technical field with at least 2-4+ years of experience in software engineering (Software Engineer); 4-7 years of experience (Sr. Software Engineer)
Extensive experience and technical understanding of modern so
About the Company
About Genentech We're passionate about finding solutions for people facing the world's most difficult-to-treat conditions. That is why we use cutting-edge science to create and deliver innovative medicines around the globe. To us, science is personal. Making a difference in the lives of millions starts when you make a change in yours. If you'd like to join our team, view our openings at gene.com/careers. Our patient resource center is dedicated to getting patients and caregivers to the right resources. You can reach them at ...
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