Expert Statistical Analyst Full-time Job

Job description Bachelors Degree in Engineering, Biotechnology, Computer Applications or related disciplines. More than 5 years experience in SAS programming (including SQL and SAS macro language) Recognized expertise in SAS programming and SAS macro code development. Effective written and verbal communication skills Excellent influencing skills, which are applied effectively at all levels of an organization and across multiple functions Strong time management skills; able to effectively organise and manage a variety of tasks across different projects Preferred qualifications:

Good understanding of other SAS modules (e.g. SAS/GRAPH, SAS Output Delivery System) Knowledge of non-SAS programming packages/languages (e.g. Spotfire, S-Plus, R) A solid level of understanding of clinical trials, pharmaceutical regulatory and publishing processes (e.g. 21 CFR Part 11) Demonstrated knowledge of and experience in the application of CDISC data standards, primarily the creation and use of ADaM datasets. Ability to manage conflicting demands and priorities. Demonstrated ability to manage the outsourcing or externalization of statistical programming work in the clinical trials setting (e.g., working with CROs, academic institutions) Ability to develop creative solutions to applied problems. Ability to learn and apply advanced programming skills independently Responsibilities: Plan, manage and execute programming activities across multiple studies, asset(s), indications or function to deliver all data analysis outputs to agreed timelines and quality, (e.g., macros, analysis datasets, pooled datasets, tables, figures and listings for regulatory submissions and publications). Oversee outsourced tasks to third party vendors and ensure their performance meets the agreed timelines, quality and budget requirements established for the project or study. Define, develop and embed data standards within a function, or therapeutic area in accordance with industry standards Responsible for programming and QC across a study/asset including submission activities adhering to relevant SOPs / policies. Participate in the design of other study delivery components (e.g. case report forms, study databases). Review and input into key documents at the project level (e.g. submission documents, clinical report and publication). May author or co-author reporting analysis plans and department level documents (e.g. SOPs, working practice document). Develop broader technical knowledge and expertise (e.g. UNIX scripting, computing environments). Act as key statistical programming contact for study related stakeholders and provide solutions to complex problems. Manage stakeholders both internal and external. Develop broader technical knowledge and expertise (e.g. SAS Graphs, SAS Macros etc). Support future direction/wider objectives of project or business. Provide mentoring, training, development and performance feedback. Identify recurring problems and work with colleagues to initiate process improvement