Genetics Statistician
2 year freelance contract
Central London
Start Window: Now - January 2011
We currently have a 2 year contract post available in central London / South East UK working for a major pharmaceutical client to provide a cohesive statistical genetic program with a highly respected academic institution, performing statistical analysis of data gathered from research projects studying the genetic epidemiology of common diseases.
Duties will include;
* Assist with the analysis of quantitative data on twin and family data collected in the Unit.
* Assist with analysis of joint data sets and internal data.
* To employ appropriate genetic epidemiological methods and statistical techniques to the genetic data generated in population and family studies
* To liaise closely with the genetic analysis team in exploring and developing the theoretical aspects of genetic data analysis, including the use of publicly available data sets.
* To assist with the writing of MM reports, publications for appropriate scientific journals and to present research findings at scientific meetings.
* Contribute to the integration and collaboration of research projects with other branches of the department and with external collaborators
* To advise and consult on experimental designs and interpretation of genetic epidemiology experiments.
Essential Requirements
* PhD in biological science, genetics, mathematics, statistics or other numerate discipline
* At least 3 years post doctoral experience
* A number of years experience of genetic analysis at high level
* Ability to use statistical analysis packages such as STATA or SAS to a high standard.
* Knowledge of numerical methods, simulations studies, MCMC algorithms.
* Ability to communicate effectively at all levels in a complex multi-disciplinary environment with the ability to produce concise verbal and written reports
For immediate consideration please forward your CV to [log in to unmask] or call...
James Carrera
Manager - Pharmaceutical Division
SEC Pharma
0044 (0) 207 225 6665
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