Computational Scientist – Oncology Full-time NEW

Computational Scientist

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 Opportunity:

We are seeking a highly motivated computational scientist to join our Research Oncology disease 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 Computational Sciences Centre of Excellence 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.
• Develop collaborative relationships with critical stakeholders focusing 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.
• Prioritise, together with stakeholders, the most critical and highest value activities.

Who you are:

• PhD in a scientific or technical field with deep knowledge in bioinformatics and biostatistics, data science, or related field.
• Experience in disease biology with specific expertise in Oncology.
• Technical expertise in one or more of the following domains: population statistical genetics, integrative multiomics and longitudinal disease modelling, network and/or AI/ML applications in disease biology.
• A matrix leader with demonstrable evidence of contributing to high-performing and multidisciplinary teams.
• A history of building long-standing, effective, collegiate, and business-oriented relationships across the enterprise and in the wider research ecosystem.
• Demonstrable evidence of shaping, executing, and delivering on strategy.
• Strong ability to communicate, influence, and lead effectively without formal authority in complex environments.
• Expertise in using biological data analysis to impact decision-making along the value chain; demonstrated ability to quickly grasp topics, formulate problem statements, and achieve successful outcomes.
• Operate in a process-oriented way with a cost-conscious mindset.

Your Toolbox:

You demonstrate a T-shaped skills portfolio with broad experience and deep understanding of specific domains.

• Programming/scripting skills in R and/or Python are required. Knowledge of other programming platforms is a plus.
• Working knowledge of Linux/Unix, with experience in data processing in an HPC cluster environment and basic understanding of computer systems administration.
• Experience of working alongside experimental 'wet-lab' scientists, and managing several concurrent projects with changing priorities.
• Strong statistical, reporting, and data visualisation skills. Data, code, and project hygiene are essential.

Your domain expertise may include some of the following:

• Expertise in the handling, integration and visualisation of multimodal data from human clinical and/or pre-clinical systems.
• Algorithm development, data mining, and statistical analysis of large datasets (including approaches such as Bayesian statistics, Markov models, simulation models, graph/network exploration methods, time-series data, and machine learning).
• Genetics/single-cell/metabolomics.
• Experience in leveraging clinical datasets (genomics, transcriptomics, proteomics, metabolomics) for understanding disease trajectories and elaborating novel therapeutic hypotheses.

Unwavering focus, collaborative teamwork, and exceptional delivery are key behaviors that drive our mission of doing now what patients need next. Together, we can be transformative.

If you are passionate about contributing to a committed team and have the dedication to partnership and innovation, Roche is the place for you! Every role at Roche plays a part in making a difference in patients' lives. Apply now and join us in making an impact!