Statistical Programmer

Mission statements The Statistical Programmer will work with Medical Affairs biostatisticians and MedHub biostatistics and programming personnel to implement statistical analysis plans and provide QC d data packages including tables, figures, and listings for use in publications (i.e. abstracts, posters, oral, presentations, and manuscripts) The Statistical Programmer will develop, implement, and document non-routine macros and advanced techniques The Statistical Programmer will ensure SOPs are followed and timelines and quality are met Collaboration Local biostatistics and programming teams Global Medical Affairs biostatisticians Global Medical Affairs Scientific Communications personnel Duties Responsibilities People Develop and maintain effective relationships and collaborations with the end stakeholders (Medical community) and local biostatistics and programming team members within the allocated Global business unit and product - with an objective to develop statistical data outputs Performance/Process Conduct appropriate post-hoc statistical analyses of clinical trial data Design, develop, test, implement, and document statistical programming in high-level software packages e.g. SAS Produce well documented data packages that include tables, listings, and figures Closely follow QC plans and timelines set by senior members of the MedHub biostatistics and programming team Remain current on advanced programming methods Customer Work closely with Global Medical Affairs biostatisticians to identify statistical analysis needs and assist in developing assigned deliverables Knowledge, Skills Competencies / Language Stakeholder management Ability to manage timelines Ability to work independently and within a team environment Advanced SAS programming skills Excellent English language knowledge - written and spoken Qualifications Bachelor or Master of Science degree or equivalent in Statistics, Computer Science, Mathematics, Engineering, Life Science, or related field Masters degree 1-2 years/B.Sc. 3-6 years of relevant experience required Requirements of the job Advanced SAS and other statistical computing software skills in a clinical data environment across multiple therapeutic areas Expertise in the use of data management applications and database/file structures, specifically with respect to CDISC requirements Autonomy in the management of activities; ability to manage multiple conflicting high priority deadlines Capacity to respond to unscheduled changes in project workload