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Description
Provide advice and support to the statistical team on programming activities related to analysis and reporting of assigned drug development study/project results. Assess and clarify requirements, provide statistical programming solutions and ensure their efficient implementation. Support onsite client project deliveryContribute to CRF development and data structures definitions for clinical trials. Ensure consistency and adherence to available standards.Design and development of technical architecture, requirements, statistical model and takes accountability of technical validity of the customer solution including installation and integrationSupport R User Groups as requestedEnsure that user acceptance testing on the structure and quality of data provided by Data Management is performed. As appropriate, perform the user acceptance testing of data structure and execute data quality acceptance checks. Develop additional study-specific checks as requiredPlan and perform programming, validation and documentation activities for VADs, pooled datasets, listings, tables, and figures according to specifications, with high quality and within agreed timelinesEnsure adherence to statistical programming standards, effective use of available standard programs and compliance with Standard Operating ProceduresSupport regulatory submission specific activities, e.g. electronic submission creation.
Requirements
- Strong Programming Experience with R
- Bachelor's degree required with emphasis in Mathematics, Statistics, Computer Science, Engineering or Econometrics; Master's and Ph.D. preferred
- To be considered, applicants should have a degree level or equivalent qualification in a related discipline and have at least 5 years experience in statistical programming
- Experience working in Windows and Linux environments
- Must have developer level skills in SQL scripting and coding and familiarity with relational databases
- Working knowledge of multivariate regression, time series models, cluster analysis, logistic regression, factor analysis and neural network models
- Strong facilitation and communication skills
- Ability to travel as required
If you would like to discuss this role in greater detail then please send an up to date CV with a covering letter stating where you have worked in the areas above or call Oliver Davies on .
