10 months ago
MSc or PhD in statistics or a related field, e.g. bioinformatics with emphasis in statistics
Good academic record
Strong oral and written communication skills
Some relevant experience applying statistics to applied problems
Knowledge of one or more of the following statistics topics:
experimental design, mixed models, Bayesian methods, linear and nonlinear regression, repeated measures, high-dimensional problems as found in 'omics analyses
Interest in continually learning and applying new statistical skills
Interest in genomic, cell, animal, and human biology
Selecting the targets on which to conduct long-term, expensive research is one of the most important decisions in drug discovery. Poor choices are often not realized until years later when programs fail in clinical trials. Recent advances in genetics, genomics, cell biology and informatics have the potential to improve the understanding of target biology dramatically and therefore, to improve target progression decisions. To take advantage of this opportunity, GSK recently formed a new Target Sciences group, bringing together scientists from genetics, bioinformatics, statistics, and cellular and molecular biology. Cross-disciplinary Target Sciences teams will work in close partnership with other GSK drug discovery groups and the academic community, e.g. through the ground-breaking Centre for Therapeutic Target Validation (), to advance the science of target selection and validation. We now have a number of job opportunities in the Target Sciences Statistics team - opportunities to collaborate with other scientists to advance exciting, innovative scientific programs with the potential to improve the lives of millions of people.
Selected Principal Statisticians will
. Use a wide range of statistical methods to address diverse statistical problems in drug discovery
. Influence scientists to use statistical tools and thinking to advance GSK research programs
. Deliver statistically sound experimental designs and data analyses
. Identify existing statistical methods or develop new ones to improve the designs, analyses, and interpretations of GSK studies
The position requires good technical and communication skills, continual learning of statistics and biology, and the ability to work with scientists from varied backgrounds. Successful consultants are innovative, pragmatic, and flexible, thriving in a dynamic, collegial environment with frequent new challenges.
Closing date for applications: 27th June 2016.
When applying for this role, please use the 'cover letter' of the on-line application to describe how you meet the competencies for this role, as outlined in the job requirements above.
The information that you have provided in your cover letter and CV will be used to assess your application
Thank you for your interest in this opportunity.
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Salary: . Date posted: 24/07/2016
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