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The PositionThe Computational Sciences Center of Excellence (CS CoE) is a strategic, unified group whose mission is to harness the power of data and Artificial Intelligence (AI) to assist scientists in delivering innovative, life-changing medicines to patients worldwide. Within the CS CoE, the Data and Digital Catalyst (DDC) organization leads the modernization of our computational ecosystems.
The Role & Opportunity
As a Software Engineer (Principal / Senior Principal) within our Solutions team, you will design and develop the modernized, interconnected computational and data ecosystems foundational to our research. You will build robust, scalable systems that unlock the potential of diverse scientific data, directly accelerating drug discovery and development.
Key Responsibilities- Interactive Tooling & Platforms: Design and build interactive tools for small and large molecule drug discovery, seamlessly integrating molecular design workflows, data, computational algorithms, and AI models.
- Scalable Data Ecosystems: Build and enhance a modern, scalable ecosystem of applications and pipelines to acquire, capture, move, store, transform, link, share, and prepare scientific data for analysis.
- Architectural Leadership: Leverage modern architecture patterns—such as microservices, event-driven architectures, and cloud-native frameworks (AWS)—to improve data workflows across key scientific domains.
- AI & Agentic Engineering: Integrate diverse data sets to power Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Search capabilities. Apply and champion modern AI-assisted and agentic coding practices within the engineering team.
- Stakeholder & Scientific Collaboration: Partner directly with computational and research scientists to translate complex scientific challenges into high-performing, user-friendly technology solutions.
- Technical Excellence & Mentorship: Provide technical leadership on ongoing strategic initiatives, define reusable architecture patterns, and mentor junior developers to uphold high engineering standards.
Who You Are
You are a passionate, collaborative full-stack engineering leader who thrives on solving complex scientific problems and driving software engineering best practices.
Key Qualifications & Experience- Domain Expertise: Ph.D. or equivalent experience in the life science domain building full-stack software solutions, with a strong preference for drug discovery or pharmaceutical environments.
- Full-Stack Engineering: Deep technical expertise across all stack layers, including backend (e.g., Python, Java) and modern frontend technologies (e.g., React, Vue).
- Data Engineering & Cloud Architecture: Extensive experience in modern data engineering (ETL/ELT, SQL/NoSQL, REST & GraphQL APIs) and cloud-native deployments (preferably AWS).
- SDLC & Engineering Excellence: Proven track record in establishing robust SDLC patterns, including versioning, automated testing, CI/CD, observability, and maintainable code bases.
- Agentic & AI-Assisted Development: Demonstrated proficiency in adopting AI-assisted and agentic coding workflows individually and across teams.
- Communication & Collaboration: Exceptional communication skills with the ability to articulate complex architectural concepts to technical and non-technical stakeholders alike.
Apply if you are ready to shape the future of computational medicine!
#ComputationCoE
#tech4lifeComputationalSciences
Who we are
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.
The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants’ requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.
Skills Required
- Ph.D. or equivalent experience in a life science domain building full-stack software solutions
- Strong preference for experience in drug discovery or pharmaceutical environments
- Deep full-stack engineering expertise across backend and frontend technologies
- Backend development experience with Python or Java
- Modern frontend development experience with React or Vue
- Experience with data engineering, including ETL/ELT and SQL/NoSQL systems
- Experience designing REST and GraphQL APIs
- Experience with cloud-native deployments, preferably AWS
- Experience establishing SDLC practices including versioning, automated testing, CI/CD, observability, and maintainable codebases
- Proficiency adopting AI-assisted and agentic coding workflows
- Exceptional communication and collaboration skills with technical and non-technical stakeholders
Roche Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Roche and has not been reviewed or approved by Roche.
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Retirement Support — U.S. materials describe a 401(k) with both matching and an additional company contribution, supported by formal plan documents and true‑up features. This structure is positioned as a standout element of the total package, particularly at Genentech.
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Leave & Time Off Breadth — Time‑off provisions include substantial vacation, a year‑end shutdown, and a paid six‑week sabbatical after six years. These elements indicate a recharge‑oriented approach within the U.S. offering.
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Healthcare Strength — Company materials emphasize comprehensive medical, dental, vision, and mental‑health resources alongside well‑being programs. Benefits pages consistently highlight breadth across core health coverage elements.
Roche Insights
What We Do
Roche is a global pioneer in pharmaceuticals and diagnostics focused on advancing science to improve people’s lives. The combined strengths of pharmaceuticals and diagnostics under one roof have made Roche the leader in personalised healthcare – a strategy that aims to fit the right treatment to each patient in the best way possible. Roche is the world’s largest biotech company, with truly differentiated medicines in oncology, immunology, infectious diseases, ophthalmology and diseases of the central nervous system. Roche is also the world leader in in vitro diagnostics and tissue-based cancer diagnostics, and a frontrunner in diabetes management. Founded in 1896, Roche continues to search for better ways to prevent, diagnose and treat diseases and make a sustainable contribution to society. The company also aims to improve patient access to medical innovations by working with all relevant stakeholders. Thirty medicines developed by Roche are included in the World Health Organization Model Lists of Essential Medicines, among them life-saving antibiotics, antimalarials and cancer medicines. Roche has been recognised as the Group Leader in sustainability within the Pharmaceuticals, Biotechnology & Life Sciences Industry ten years in a row by the Dow Jones Sustainability Indices (DJSI).
