Computational Statistician - Oncology

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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.

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The Position

In Roche's Pharma 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 medicines.

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.

The Computational Sciences Centre of Excellence is a global organisation enabling Roche’s Research and Early Development units to become more data-driven, more digitally adept and better prepared for the challenges of the future.

Within the , the Computational Biology department focuses on furthering our understanding of disease, patient populations, and target biology by having access to the largest Pharma R&D datasets in the world.

In partnership with our scientists across pRED, we create better medicines by augmenting every part of R&D through our data-driven culture. 

The Opportunity

We are seeking a highly motivated computational scientist to join our Translational Oncology sub-unit of Computational Biology.

You will be a member of a team of world-leading computational scientists with the express aim of developing a competitive advantage for pRED through the application of computational biology in the Oncology space.  You will also be part of the wider Computational Biology and Medicine unit within the , drawing on the shared experience and expertise of colleagues globally.  

To ensure successful delivery for the portfolio, you collaborate with other subunits in Computation Biology and/or Computational Medicine where needed.

Our collective success in the Oncology sub-unit and our contribution to pRED/Pharma goals will be the measure of your impact.

In this role, you will: 



* Execute the data and analytics strategy for your subunit in collaboration with your primary stakeholders.  


* Support and broaden team members' knowledge, capabilities, and skills.


* Commit to fostering a rich feedback culture, the development of challenger safety, a continuous improvement methodology, and an inclusive, purpose-driven, and collaborative workplace.


* Represent Computational Biology as a trusted partner to our wider stakeholder ecosystem.

Collaborate with critical stakeholders to prioritize the mos...