
ProcDNA - Senior Statistical Programmer - R/SAS
4 days ago
Position : Senior Statistical Programmer
Experience : 6+ Years
Job Type : Full-time
Key Responsibilities :
- Leverage advanced proficiency in SAS and R programming to support or lead complex clinical studies, ensuring data integrity and quality.
- Perform hands-on programming activities, including the creation of SDTM and ADaM datasets, as well as the generation of Tables, Listings, and Figures (TLFs) for both safety and efficacy analysis.
- Take ownership of programming tasks with minimal supervision, demonstrating a deep understanding of the study's statistical analysis plan and data structures.
- Lead all aspects of a clinical study under supervision, including coordination with data management, biostatistics, and clinical teams.
- Create and maintain comprehensive documentation, including CRF annotations, dataset specifications (SDTM, ADaM, SDRG), and a define.xml for submission.
- Identify gaps in current programming best practices and propose suggestions for improvement to enhance efficiency and compliance.
- Ensure strict adherence to applicable policies, procedures, and evolving industry standards.
- Take responsibility for the timely and accurate completion of all assigned development tasks, from initial programming to final submission.
Required Skills & Qualifications :
- 6+ years of hands-on experience in SAS and R programming within a clinical trial environment.
- Proven proficiency in CDISC standards, with practical experience in creating SDTM and ADaM datasets.
- Hands-on experience with the generation of TLFs for both safety and efficacy analysis.
- Experience with CRF annotations and the creation of dataset specifications.
- Demonstrated ability to lead at least one clinical study under supervision.
- A strong understanding of the clinical trial domain and the ability to apply this knowledge to programming activities.
- The ability to execute a wide range of programming activities with minimal supervision.
Preferred Skills :
- Experience with electronic submission processes (define.xml, P21, ADRG, SDRG).
- Familiarity with other programming languages, such as Python, for data analysis.
- Experience with SAS Grid or other high-performance computing environments.
- Knowledge of statistical methodologies used in clinical trials.
- Strong communication skills and the ability to work effectively in a team-based environment.
(ref:hirist.tech)
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