Roche
Healthcare
SoftwareEngineer/SeniorSoftwareEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Software Engineer / Senior Software Engineer at Roche. Skills: Data Pipelines, Data Ecosystem, ML/AI, Cloud First. Deliver innovative data flows. Deliver best-in-class data pipelines”
What You'll Achieve.
accelerate the discovery and development of life-changing treatments for patients
Industry & Context.
translate complex challenges into effective technology solutions
What They're Looking For.
Must Have
Bachelor’s degree in Computer Science or a similar technical field, or equivalent experience, 2+ years of relevant software engineering experience, Experience in full-stack development, working knowledge of frontend frameworks (e. g. , React, Vue), working knowledge of backend (e. g. , Python, Java) technologies, Experience with databases, data analytics (SQL/NoSQL, ETL/ELT), APIs (REST, GraphQL), SDLC best practices including versioning, testing, observability, CI/CD, Experience working on cloud-native architectures in a public cloud environment, oral and written communication skills, ability to think strategically to optimize for long-term goals, Proven ownership of system design decisions from requirements through production
Nice to Have
AWS, experience working in pharmaceutical industry, working in teams using agile software development methodology, experience using agentic coding tools producing maintainable code
What You'll Do.
Deliver innovative data flows
Deliver best-in-class data pipelines
Apply Open Source approach
Apply Cloud First approach
Apply API First approach
Apply AI First approach
Improve data workflows
Improve application architecture
Integrate diverse data sets
Power Natural Language Search
Power visualization tools
Power analytics tools
Facilitate AI model implementation
Influence technical decisions
Understand Data Ecosystem
Drive continuous improvement
Build robust capabilities
Build scalable capabilities
Build reusable capabilities
Unlock data potential
Accelerate development
Build modern ecosystem
Capture scientific data
Prepare scientific data
How You'll Work.
Team & Collaboration
Work closely with Data Engineers; Work closely with Product Leaders; Work closely with scientific partners; Collaborate with key partners
Communication Scope
oral communication skills; written communication skills
Full Job Description
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. ### ### 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 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
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