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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.
Who We Are
At Roche Diagnostics Solutions (RDS), our mission is clear: to diagnose earlier, develop faster, and personalize treatment because every patient is unique. Within Computational Science & Informatics (CSI), we are the bridge between our origin and our future, shaping the next era of human health through precise, data-driven diagnostics and precision medicine.
We excel in delivering rigorous, clinically actionable data analysis across our diagnostics portfolio, believing that advancing computational methods and informatics solutions is essential to harnessing dynamic human health data. By listening closely to patients and physicians, and leveraging digitization and cutting-edge technologies, we work collaboratively to turn insights into impact.
This shared spirit creates an environment where ideas grow, new approaches are trialed, and competitive products reach patients faster—ultimately realizing the DIA 10-year vision and our One Roche ambitions so that everyone can access personalized healthcare solutions.
The Opportunity
We are looking for a Senior Machine Learning Engineer with a strong technical background rooted in fundamental computer science and database management. The position requires a team player who strives for engineering and technical excellence, and is passionate about leveraging technology to change the face of medicine.
In this role, you will act as a technical lead, driving the long-term planning, architecture, and design of initiatives such as our core ML and Data Platform. You will handle complex data projects alongside cross-functional teams, providing the robust infrastructure and tooling necessary for our Data Scientists to accomplish their research and production goals efficiently.
Key Responsibilities:
Act as the central technical liaison between project stakeholders and the Data Science team, taking full ownership of integrating and deploying algorithms and machine learning models into production workflows.
Design, build, and scale cloud-native and hybrid data and machine learning platforms (MLOps) tailored to the complex, evolving needs of our established Data Science team.
Plan, architect, and develop long-term enterprise tooling and infrastructure for internal use to accelerate and streamline ML model research, training, and evaluation.
Take responsibility for the end-to-end software and data architecture within Data Science initiatives, independently driving the specification, implementation, and testing of complex technical assignments.
Serve as a technical lead and subject matter expert, gathering requirements from data-focused profiles to continuously improve the ML platform while mentoring peers to foster a culture of engineering excellence.
Who You Are
You are a collaborative technical leader who strives for engineering excellence and is passionate about leveraging technology to change the face of medicine. You excel at navigating ambiguity, enjoy handling complex data projects, and love mentoring others to grow technically.
Qualifications & Skills:
The Must-Haves
A Degree in Computer Science, Software Engineering, or a closely related technical field.
Extensive professional experience in software engineering with Python, including a deep understanding of Application Architecture and Design Patterns.
Strict adherence to coding best practices (e.g., TDD, ATDD), rigorous testing strategies, and proper version control.
A very good understanding of complete ML workflows and hands-on experience provisioning the infrastructure required to support them.
Significant experience with various storage technologies, understanding their specific trade-offs (e.g., Relational Databases, No-SQL Databases, Object Storage).
Solid knowledge and practical experience with HPC (High-Performance Computing) and AWS-based data engineering and analytics solutions.
Tech Stack Alignment: Deep familiarity with the Python data ecosystem (e.g., NumPy, Pandas, Scikit-learn), proficiency in Linux environments, and hands-on experience with modern data integration, ETL, and MLOps tools.
The Nice-to-Haves:
Domain knowledge or a strong interest in the life sciences sector, specifically Sequencing, PCR, Bioinformatics, or digital healthcare.
Experience building, deploying, or working with Large Language Models (LLMs) and agentic systems.
Official Cloud certifications (e.g., AWS Certified Solutions Architect - Professional).
Proven experience working successfully within large, globally distributed, or international enterprise environments.
At Roche, we embrace emerging innovations, like AI, to enhance the patient journey. If you’re passionate about new technology and thinking ahead, join us in building a healthier future together.
* This is an on-site position and no relocation assistance is provided.
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.