- Perform, plan co-ordinate and implement the following for complex studies:
- Review statistical analysis plans and mock shells.
- The programming, testing, and documentation of statistical programmes for use in creating statistical tables, figures and listings
- The programming and specifications writing of SDTM datasets.
- The programming and specifications writing of analysis datasets (derived datasets including efficacy datasets) and transfer files for internal and external clients
- Create meta-data representations of regulatory-specific and analysis data sets.
- Conduct peer-review of outputs from junior statistical programmers.
- The programming quality control checks for the source data and report the data issues periodically
- Randomisation list generation
- Recruit suitably qualified and experienced clinical operations staff for Emerald in a timely mannerandallocatethem to project team.
- Provide advanced technical expertise in conjunction with internal and external clients, and independently bring project solutions to SP teams and Statistical Programming department, for complex studies.
- Fulfil project responsibilities at the level of technical team lead for single complex studies or group of studies.
- Directly communicate with internal team including data management, project management, and client statisticians and client team members to ensure appropriate understanding of requirements and project timelines.
- Estimate programming scope of work, manage resource assignments, communicate project status and negotiate/re-negotiate project timelines for deliverables.
- Participating in RFPs and bid defense meetings.
- Use and promote the use of established standards, SOP and best practice
Preferred candidate profile
- Minimum Bachelor of Science (BSc) degree in sciences related field
- Minimum 6 years' experience with statistical programming in SAS
- Minimum 6 years' experience in the CRO environment
- Technological proficiency in SAS
Competency
- Ability and motivated to learn and develop, including sharing knowledge with others
- Good teamwork and willing to help other team members
- Technological proficiency including Microsoft Office packages
- Ability to see the big picture, yet still focus on detail and quality of work
- Ability to be adaptable and adaptable in the face of changing organisational priorities and ambiguous environments
Additional requirements
- Ability and willingness to travel domestically & globally
Role: Data Science & Analytics - Other, Industry Type: Clinical Research / Contract Research, Department: Data Science & Analytics, Employment Type: Full Time, Permanent Role Category: Data Science & Analytics - Other Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Statistical Programming StatisticsSdtmAdamTlfSAS Programming