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, drug repositioning and machine learning. We contribute to multiple phases of the drug development pipeline and our work results in developing new medicines for important diseases of unmet medical need.
We are hiring a skilled Computational Biologist to focus on host-microbe immunity research which includes infectious disease, host-pathogen interactions and the microbiome. In the pharmaceutical industry, GSK is world leader in the development of medicines against the most severe infectious diseases including HIV, hepatitis B virus, bacterial infections, TB, malaria and other parasites. GSK is also a microbiome research innovator in various therapy areas including respiratory and inflammatory diseases.
Applicants should have a strong background in the areas of bioinformatics, computational biology, computer science and/or genomics with preferred experience in one or more of the host-microbe immunity research areas. You should be comfortable working in a dynamic and highly collaborative environment, and be expected to communicate and interpret complex informatics analyses and results to scientists from diverse backgrounds.
Furthermore, you will be encouraged to develop and advance your career skills as well as your internal and external scientific profile through presentations and peer-reviewed publications. GSK offers excellent work-life balance for its employees and is an equal opportunity employer.
Why You?Basic qualifications:
PhD in computational biology, bioinformatics, and/or biomedical/biological sciences with an emphasize on data analytics.
Strong written and oral communication skills.
Ability to work effectively in multidisciplinary teams.
Publication record in peer reviewed journals.
Expertise in applying genome-wide genetic, genomic, pathway and network methods to host-microbe immunity questions including pathogen genomics, host-pathogen interactions and the microbiome.
Expertise in a programming language (such as R, Python or Perl) for complex data analysis.
Knowledge of and experience with common bioinformatics databases, resources and tools.
Demonstrated experience in processing multiple large scale genomic and genetic platforms, such as transcriptomic, proteomic or Next Generation Sequencing data.
Some examples of recent publications by GSK Computational Biology:
1.Wang Z, et al. 2018. Meta-analysis of human gene expression in response to Mycobacterium tuberculosis infection reveals potential therapeutic targets. BMC Systems Biology. 12:3 DOI 10.1186/s12918-017-0524-z
2.Wang Z, et al 2016. Lung microbiome dynamics in chronic obstructive pulmonary disease exacerbations. European Respiratory Journal. 47:1082.
3.Saha S, et al. 2016. Human microbial metabolites as a source of new drugs. Drug Discovery Today. 21: 692.
4.Arat S, et al. 2015. Microbiome changes in healthy volunteers treated with GSK1322322, a novel antibiotic targeting bacterial peptide deformylase. Antimicrobial Agents and Chemotherapy. 59:1182.
5.Rajpal D, et al. 2015. Selective spectrum antibiotic modulation of the gut microbiome in obesity and diabetes rodent models. PLoS One. 10: e0145499.
6.Pea I, et al. 2015. New compound sets identified from high throughput phenotypic screening against three kinetoplastid parasites: An open resource. Scientific Reports (Nature). 5:8771.
7.Gamo F-J, et al. 2010. Thousands of chemical starting points for antimalarial lead identification. Nature. 465:305-310.
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