Computational Statistician - Oncology

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 , 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  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  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 most critical and highest value activities based on shared objectives.
* Generate objective insights that inform and influence a continuously evolving strategy designed to ensure Computational Biology is a competitive advantage for pRED.
* Deliver for the portfolio, and for patients, through high-value and objective data insights.### Who you are
* You hold a PhD in Biostatistics, Bioinformatics, or a closely related quantitative field, paired with a deep understanding of statistical methods, predictive modeling, and machine learning.
* You have proven experience working with high-dimensional molecular data sets (e.g., genomics, transcriptomics). You are proficient in R and/or Python, with solid knowledge of Linux/Unix and data processing in an HPC cluster environment.
* You have demonstrable technical expertise in one or more of the following: population statistical genetics, integrative multi-omics data analysis, or AI/ML applications in disease biology.
* You have a strong foundational understanding of disease biology (preferably Oncology) and expertise in using biological data analysis to impact decision-making. Preferably, you have prior experience in the pharmaceutical industry and exposure to clinical data (e.g., CDISC standards).
* You are a proven matrix leader with demonstrable evidence of contributing to and leading high-performing, multidisciplinary teams. You have a…