Associate Director of Oncology Bioinformatics

We are seeking a highly skilled and experienced individual to join our team as an Associate Director of Oncology Bioinformatics within the Oncology Research Unit. The successful candidate will lead acquisition and analysis of large-scale cancer molecular and clinical data to drive translational decisions and support the oncology pipeline.

You will partner with scientists, computational teams and project leads to turn data into clear, actionable insights that will aid the progress of GSK's early pipeline.

A key requirement is solid understanding of computational multiomic approaches in cancer biology, including data generation protocols, data management, and data analysis, as well as translational research skills to derive meaningful and reproducible biological insights that can help project decision making.

Documented expertise in the analyses of multi-omics datasets and interpretation of analysis outcomes in a translational setting is necessary whilst experience in complex molecular data integration will be advantageous.

Expertise in building data foundations (data engineering, pipelines, standards) is highly desirable for this role.

The successful candidate will be part of multidisciplinary teams to answer complex scientific/clinical questions and will need to have strong communication skills and the ability to convey complex ideas and concepts to a range of stakeholders, including peers and leaders.

This role offers strong scope for scientific growth, visible impact on programs, and the chance to work at the intersection of biology, data and clinical translation to help get ahead of disease together.

In this role you will

• Ingest, analyse and integrate large-scale pre-clinical and clinical oncology datasets (genomics, transcriptomics, proteomics, and clinical data) to generate reproducible biological and translational insights.
• Provide scientific input and expertise in driving the development and adoption of fit-for-purpose data and informatics infrastructure and pipelines.
• Lead cross-functional workstreams with biologists, clinicians, AI/ML engineers and statisticians to translate findings into testable hypotheses.
• Communicate results clearly to diverse stakeholders through written reports and concise oral briefings.
• Collaborate with cross-functional data and tech teams to support the development and implementation of oncology genomics strategies.
• Evaluate and implement new pipelines, methods and tools (including cloud-based solutions) that streamline access to information and interpretation of findings for translational impact.
• Stay up-to-date with the latest advancements and trends in oncology genomics and molecular data technologies.
• Ensure compliance with relevant regulations and guidelines in the field of oncology genomics.
• Mentor and coach colleagues, and contribute to a collaborative, inclusive team environment.

Benefits

We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme.

We embrace modern work practices; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work.