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Basel, Basel-Stadt, Schweiz/Suisse/Svizzera/Svizra
Onsite
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.
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 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 on our Solutions Engineering team, you will build robust, scalable, and reusable capabilities for our shared data platform. You will work closely with Data Engineers, Product Leaders, and scientific partners to design and implement systems that unlock the potential of our diverse scientific data. Your work will directly contribute to accelerating the discovery and development of life-changing treatments for patients by building the modern ecosystem that captures, moves, and prepares scientific data for analysis.
Ensure technical excellence by delivering innovative, best-in-class data flows and pipelines across key scientific domains.
Promote the adoption of key trends and technologies by applying an Open Source, Cloud First, API First, and AI First approach to problem-solving.
Improve our data workflows and application architecture by leveraging standard patterns like microservices and event-driven design.
Integrate diverse data sets to power AI/ML, Natural Language Search, and downstream visualization and analytics tools.
Facilitate the implementation of cutting-edge AI models that take advantage of advances in machine learning.
Influence technical decisions around data workflows and application development in collaboration with key partners.
Learn and deeply understand our Data Ecosystem to drive continuous improvement and innovation.
You are a passionate engineer who cares about technical and product excellence, with a drive to build highly usable solutions. You thrive in a collaborative environment, leveraging modern development practices to translate complex challenges into effective technology solutions.
A Bachelor’s degree in Computer Science or a similar technical field, or equivalent experience, plus 2+ years of relevant software engineering experience.
Experience in full-stack development, with working knowledge of frontend frameworks (e.g., React, Vue) and backend (e.g., Python, Java) technologies.
Experience with databases, data analytics (SQL/NoSQL, ETL/ELT), and APIs (REST, GraphQL).
Experience with SDLC best practices including versioning, testing, observability, CI/CD, etc.
Experience working on cloud-native architectures in a public cloud environment, ideally AWS.
Strong oral and written communication skills and the ability to think strategically to optimize for long-term goals.
Proven ownership of system design decisions from requirements through production.
Candidates who have experience working in pharmaceutical industry, working in teams using agile software development methodology and have experience using agentic coding tools producing maintainable code are preferred.
The Global Grade for this role is: SE5 and SE6 to align with the Software Engineer and Sr. Software Engineer title
#ComputationCoE
#tech4lifeComputationalSciences
A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let’s build a healthier future, together.
Roche is an Equal Opportunity Employer.