The Computational Statistician at this level will provide support in multiple dimensions including: - Provides technical expertise to execute multi-disciplinary or cross functional projects in support of EU Statistics. Applying expertise across therapeutic areas and phases of clinical development Key Objectives/deliverables The job tasks listed below outline the scope of the position. The application of these tasks may vary, based upon current business needs. Your Knowledge and Expertise: • Ability to apply innovative programming techniques to solve critical problems • Collaborates with project statistician to suggest appropriate methodology • Develop approaches or solutions that save time, increase efficiency or otherwise directly impact business • Operate in collaboration with study personnel to provide input on analysis for the conduct of each study. • Assist in developing efficient working relationships and practice with TPO partners • Assist in or be accountable for selecting statistical methods for data analysis, • Participate in peer-review work products from other statistical colleagues, and advise others on technical aspects. Your Communication, Leadership and Influence: • Can effectively work in cross-functional or multi-disciplinary groups and use technical expertise to influence business decisions. • Can adapt and respond to requests from across the business while being aware of impact of response. Your Pharmaceutical Knowledge: • Understand current Industry state on data standards and implementation • Have broad understanding about the drug hunting process across phases • Broad understanding of disease states in order to enhance the level of customer focus and collaboration and be seen as a strong scientific contributor. Your Minimum Requirements: Degree in life sciences, statistics, biostatistics, or equivalent areas with extensive experience in pharmaceutical industry, medicine or a relevant field is preferred. SAS programming skills - extensive Desireable Requirements: • Experience in additional analytical software (eg.Spotfire / R / Winbugs) • Experience in modeling and simulation • Experience in use of data standards and implantation • Experience in SDD • Experience Pharmacogenomics • Interpersonal communication skills for effective customer consultation • Teamwork and leadership skills • Self-management skills with a focus on results for timely and accurate completion of competing deliverables For a confidential discussion, please get in touch with Russell Gillam on +44 255 6665 OR send your updated CV to russell.gillam@secpharma.com Pharmaceutical, clinical trials, statistician, statistics, statistical, SAS, programmer, programming, statistics, statistician, biostatistics, biostatistician