Director Translational Omics

We are seeking a motivated computational biologist to join our dynamic team with our broader Human Genetic and Genomics organisation. The candidate will lead the analysis and integration of diverse and complex genomic data to impact translation of our targets to the clinic. Your work will have application across our pipeline, from multi-omic characterisation of disease endophenotypes to biomarker discovery and patient stratification.The successful candidate will work in a multidisciplinary, collaborative and scientifically driven environment, interacting with GSK scientists and external collaborators to advance drug discovery and clinical development. Additionally, you will be encouraged and supported to continue to build your scientific and leadership profile through presentations, development programmes and peer-reviewed publications.Key Responsibilities:

The responsibilities listed below outline the scope of the position. The application of these tasks may vary, based upon evolving business needs.Line manage and develop a team of PhD level computational biologists focused on translational genomics.Partner with stakeholders within R&D biology, translational, clinical and precision medicine teams to define, prioritise, manage and deliver a portfolio of translational computational biology projects, with an emphasis on respiratory disease.Drive and deliver innovative analysis and integration of multi-omic data, with tangible impact on the GSK pipeline.Be a leader in the development of our short and long-term scientific strategy for application of translational genomics to influence drug discovery and development.Engage with and influence cross-functional project teams and external collaborators.Basic Qualifications:

PhD or equivalent experience in computational biology, bioinformatics, computational sciences, machine learning or biomedical/biological sciences.Several years of relevant experience.Demonstrated experience in leading, delivery and impactful application of multi-omics analytics, including single cell and spatial omics.Strong coding skills in Python and/or R for complex data analysis and a good working knowledge of common bioinformatics databases, resources and tools.Demonstrated understanding and application of state-of-the-art analytical and statistical methods relevant to large scale analysis of biological data sets.Demonstrated evidence of leadership of teams to effective delivery of complex projects.Track record of building strong internal and external networks.Demonstrated ability to manage complexity and cultural diversity.Strong interpersonal, verbal, and written communication skills.Preferred Qualifications:

Demonstrated delivery of high quality and state-of-the-art computational biology solutions and analyses in support of drug discovery projects.Demonstrated experience in the analysis of multi-omic data linked to clinical phenotypes or measures for disease endophenotyping, biomarker discovery, mechanism and efficacy analysis and/or patient stratification.Demonstrated experience in the analysis of multi-omic data from clinical studies and working in a regulatory environment.Experience working in multidisciplinary teams to address important scientific challenges.Experience influencing management and working in complex environments.Experience in communicating complex scientific concepts to diverse audiences.

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