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Director, Computational Biology

GlaxoSmithKline LLC
Collegeville, Pennsylvania, US
Closing date
May 15, 2022

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Consultancy/Private Sector
Informatics / GIS
Statistics, Biology
Salary Type
Employment Type
Full time
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GlaxoSmithKline LLC Director, Computational Biology Collegeville , Pennsylvania Apply Now
Reference #: 334041Site Name: USA - Pennsylvania - Upper Providence, Heidelberg - Office, UK - Hertfordshire - Stevenage, USA - Massachusetts - BostonPosted Date: Apr 27 2022We are seeking a motivated leader in translational genomics to join our dynamic and expanding team. As Director, Translational Computational Biology you 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 characterization 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 programs and peer-reviewed publications.Key responsibilities:This role will provide YOU the opportunity to lead key activities to progress YOUR career, these responsibilities include some of the following:Line manage and develop a team of PhD level computational biologists focused on translational genomics.Partner with stakeholders to define, prioritize, manage and deliver a portfolio of translational computational biology projects, with an emphasis on neurodegeneration and metabolic disease.Drive innovative analysis and integration of genomic 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:We are looking for professionals with these required skills to achieve our goals:PhD or equivalent experience in computational biology, biomedical/biological sciences, bioinformatics, computational sciences, machine learning or biomedical statistics.5+ years of relevant experience.Demonstrated evidence of leadership of teams to effective delivery of complex projectsSolid understanding of analytical and statistical methods relevant to large scale analysis of biological data sets.Preferred Qualifications:If you have the following characteristics, it would be a plus: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 genomic data linked to clinical phenotypes or measures for reverse translation.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.Why GSK?At GSK, we have already delivered unprecedented change over the past four years, improving R&D, becoming a leader in Consumer Health, strengthening our leadership, and transforming our commercial execution. Now, we're making the biggest changes we've made to our business in over 20 years. We're on track to separate and create two new companies in 2022: New GSK with a leading portfolio of vaccines and specialty medicines as well as R&D based on immune system and genetics science; and a new world-leading consumer healthcare company of loved and trusted brands.With new ambition comes new purpose. For New GSK, this is to unite science, talent and technology to get ahead of disease together - all with the clear ambition of delivering human health impact; stronger and more sustainable shareholder returns; and as a new GSK where outstanding people thrive.Getting ahead means preventing disease as well as treating it. How we do all this is through our people and our culture. A culture that is ambitious for patients - so we deliver what matters better and faster; a
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