Responsibilities:

• Provide technical planning to include overseeing the set-up of key macros and SAS programs.
• Act as a Lead Programmer for projects
• Represent Statistical Programming at internal and client meetings
• Act as a Statistical Programming consultant to clients and internal customers in related disciplines e.g. Clinical Data Management, Project Management and Medical Writing.
• Demonstrate excellent problem-solving skills, a proactive approach and a willingness to make decisions on a regular basis.
• Ensure quality of personal work and the work of the team when acting as a Lead Programmer
• Prioritize personal workload and that of teammates; perform work with minimal supervision
• Work on complex problems where analysis of situations or data requires an evaluation of intangible variables; development of technical solutions to abstract problems which require the use of ingenuity and creativity.
• Advise Senior Statistical Programming Staff of changes in scope of projects to enable the timely development of change orders.
• Good experience with CDISC standards including Define.xml files.
• Display a positive attitude at all times, promoting and contributing to good team spirit in a professional environment.
• Review draft and final production runs for project to ensure quality and consistency.
• Represent Statistical Programming during client audits ensuring study documentation is maintained and filed according to processes.
• Assist with interviewing and selection of potential candidates
• Carry out all activities according to SOPs working within the framework of the Quality management System and to Good Clinical Practice (GCP).
• Provide ongoing training and mentoring within Statistical Programming to ensure thorough knowledge of the processes used and the ongoing technical development.
• Perform other duties as requested by management.

Requirements:

• BS in a computing, life science, mathematical or statistical subject.
• A high computing content is considered to be beneficial; however proven computing skills are most important.
• Alternative academic qualifications or experience are assessed to ensure equivalent background.
• 5 – 8 years’ experience with proven SAS skills within a clinical trials environment.
• Knowledge in all aspects of clinical trials from initial study set-up to study completion.
• Full knowledge and understanding of the processes and procedures used within a Statistical Programming environment.
• Able to identify training and development needs, opportunities for optimizing staff utilization and employing the most efficient practices.
• Excellent organizational skills and the ability to delegate and prioritize work to meet tight deadlines while maintaining high standards
• Self-motivation and ability to work independently with minimum direction.
• Excellent time management skills and the ability to work to tight deadlines whilst maintaining the highest standards of work.
• Good interpersonal skills and the ability to communicate appropriately withal levels of staff and confidently with other disciplines and external clients.
• A proactive approach to developing and maintaining effective working relationships with staff in other disciplines, often in other locations and in working to achieve consistent processes and standards across them.
• A co-operative and team orientated approach.
• Team leadership experience, as demonstrated by ability to organize and motivate project teams.