Job Company: GSK
We now seek a highly motivated data scientist, with an in-depth knowledge of biology and exceptional interpersonal skills, to join the team. The successful candidate will use their deep knowledge of biology coupled with machine learning/artificial intelligence expertise to identify opportunities that will transform the drug discovery... [More]
As part of our ongoing efforts, we are aiming to simplify and streamline the capture, processing and analyses of ‘omic data across GSK by establishing a robust and sustainable E2E solution using a combination of internal (on-prem) and external (cloud-based) data infrastructures. To realize this goal, we are looking for a passionate and enthusiastic individual... [More]
GSK Vaccines is seeking for its CMC Statistical Science department within Technical R&D an Expert Scientist to run and develop Bioinformatics pipelines and tools to facilitate the analysis of massive parallel sequencing data. The candidate will be a hands-on contributor in a global collaborative environment,mbedded in research projects involving Genomic/ Transcriptomic/ Methylomic characterization of cell banks, vaccine seeds (bacteria and virus) and adventitious agents via Metagenomics [More]
The Computational Biology Department supports Drug Discovery and Development at GSK Pharmaceuticals R&D through the integrative analysis of internal and external biomedical data. Our analysis competencies are quite diverse and include target identification and validation, genetics, pathways and networks, disease indications, text mining, molecular evolution, gene expression, microbiome/host pathogen analysis,...more... [More]
The Computational Biology Department supports Drug Discovery and Development at GSK Pharmaceuticals R&D through the integrative analysis of internal and external biomedical data, combining strong computational skills with biological insight. Our analysis competencies are quite diverse with a focus on target biology, spanning areas such as sequence analysis, comparative genomics,...more... [More]