Lab Automation Engineer

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

In Roche´s Pharmaceutical Research and Early Development organisation (pRED), we make transformative medicines for patients in order to tackle some of the world’s toughest unmet healthcare needs.

At pRED, we are united by our mission to transform science into medicine.

Together, we create a culture defined by curiosity, responsibility and humility, where our talented people are empowered and inspired to bring forward extraordinary life-changing innovation at speed.

pRED's Pharmaceutical Sciences (PS) group enables discovery and development of safe and effective therapeutics at optimal doses in relevant populations with a vision to power translation, continuously improve the accuracy of our predictions and accelerate the development of tomorrow's medicines.

PS supports discovery and development across the whole value chain from target assessment to on-market and beyond.

Within Roche Pharma Research & Early Development (pRED), the ADME (Absorption, Distribution, Metabolism, and Excretion) Chapter plays a crucial role in understanding and predicting the effects of new medicines on the human body.

We are expanding our capabilities in lab automation and digitalization to enhance our processes and outcomes.

 

The Opportunity

As a member of the ADME Chapter, you will gain a unique perspective on drug development.

You will contribute to impactful projects focused on lab automation and digitalization, with exciting opportunities to dive into data science applications.

In this role, you will:



* Design and implement robust integration patterns to interconnect diverse laboratory services and digital systems, ensuring seamless data exchange.


* Partner with interdisciplinary teams to translate complex scientific requirements into automated, reliable digital workflows.


* Develop automated assays and digital workflows, focusing on service reliability, error handling, and data integrity.


* Collaborate with specialists across the organization to optimize our automated ecosystem, leveraging APIs to orchestrate workflows between established systems.


* Explore and apply cutting-edge technologies to continuously improve our data and lab management strategies.

 

Who you are



* You hold a Master’s degree (or higher) in computer science or a relevant life science, or a related area.


* You have deep experience in the programming language Python and are fluent in working with version control systems (Git).


* You have a strong understanding ...