Senior Statistical Programmer
2 days ago
Hybrid - Manila 3-5 Yrs Exp Bachelor Full-time
Job DescriptionDescriptionAbout the role:
The Senior Statistical Programmer I is primarily responsible for undertaking all statistical programming tasks on one or more clinical studies and, if applicable, for data submission packages to client and regulators. The SSP I can act as Statistical Programming Team Lead (SPTL) managing and supervising the work of statistical programmers assigned to the Team dealing with a portfolio of projects. The SSP I work closely with the project biostatisticians and other project stakeholders.
Minimum bachelor's degree with concentration in Life Sciences, Computer Science, Mathematics, Statistics or in quantitative/analytical field with a minimum 5 years of experience in pharmaceutical industry, CRO or related experience using SAS programming in clinical studies, including leading a clinical study or project programming team. Able to independently perform technical work. Exceptional SAS programming skills. Knowledge of CDISC standards and applying standards to different study phases, study designs and therapeutic areas.
ResponsibilitiesProjects/Clinical Studies- Review a clinical study protocol with regards to statistical programming responsibilities.
- Assess study related workload and project timelines and discuss programming time estimates and risk mitigation plans with Statistical Programming Team Lead for inclusion in resource forecasts.
- Review and provide input to a Statistical Analysis Plan (SAP) with respect to presentation of data and results (tables, listings, figures).
- Develop and maintain SDTM and ADaM or analysis datasets specifications for assigned projects.
- Undertake peer review of SDTM and ADaM or analysis datasets specifications from junior staff as required.
- Program SDTMs, ADaMs or analysis datasets, tables, figures, and listings (TFLs) according to approved specifications.
- Adhere to company statistical programming standards and conventions, and data standards.
- Ensure that SAS programs generated for data storage, transformation, presentation and statistical analysis are properly documented and traceable.
- Undertake gap analysis across the clinical study databases that need to be part of the data package with respect to the standardization and transformation efforts required.
- Develop project plan to generate the package and estimate costs in consultation with Line Manager and Biostatistics.
- Develop programs to generate SDTM datasets, SDTM annotated CRF, AdaM datasets, Define.xml datasets, Reviewers Guides, and related regulatory documents required for submission.
- Contribute to developing company programming conventions and SAS macros.
- Contribute to automating statistical programming tasks and progress tracking.
- Advise Clinical Data Management and Clinical Data Programming with respect to CRF libraries and data dictionaries based on CDASH and SDTM.
- Ensure compliance with applicable regulatory agency guidelines and Novotech's corporate policies and SOPs, and SOPs for study design, protocol development and all other statistical programming output.
- Participate in industry forums (conferences, professional association committee work etc.) as required.
Novotech is proud to offer a great workplace. We are committed to being an employer of choice for gender equality and providing an inclusive work environment where everyone is treated fairly and with respect. Our team members are passionate about what we do, but we understand work is only one of the things that is important to them. We support our team members with flexible working options, paid parental leave for both parents, flexible leave entitlements, wellness programs and ongoing development programs. We are looking for people who are passionate about working clinical research and biotech, including people who identify as LGBTIQ+, have a disability or have caring responsibilities. We are a Circle Back Initiative Employer and commit to respond to every application. We look forward to contacting you regarding your application.
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