Sr Statistical Programmer
The Clinical
United States
about 2 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Job source
Tech stack
Clean Code Principles
R (Programming Language)
Metadata
SAP (Applications)
SAS (Software)
Job description
- Conduct a comprehensive review of study documents, including Protocol, CRF, and SAP.
- Create and assess statistical programs in SAS and/or R to produce CDISC-compliant SDTM and ADaM datasets.
- Execution of validation and quality control procedures for programs, datasets, and statistical reports, ensuring alignment with study requirements.
- Development and review CDISC SDTM and ADaM mapping specifications.
- Produce and review Tables, Figures, and Listings (TFLs) in accordance with the SAP.
- Review datasets for any pending compliance issues and meticulously document identified issues.
- Generation and review of submission documents like define.xml, SDTM annotated CRF, and reviewers guide.
- Generation of utility macros and efficient code writing to streamline programming processes.
- Communicate effectively within project teams to ensure the timely and budget-compliant completion of assigned tasks.
- Adherence to Clymb and/or client’s Policies and Procedures.
Requirements
Do you have experience in Statistics?, Do you have a Master’s degree?, * Master’s degree or equivalent, along with relevant formal academic/vocational qualifications and a minimum of 5 years of SAS programming experience. Alternatively, a Bachelor’s degree with 7+ years of SAS programming experience.
- A minimum of 3 years of hands-on CDISC implementation experience. Any experience with R programming will be considered a significant plus.
- Significant expertise in SAS and clinical trial programming including data steps, procedures, SAS/MACRO, SAS/GRAPH; systems and database expertise.
- Previous involvement as a production or QC programmer at both product and study levels.
- Strong organizational, interpersonal, leadership, and communication skills.
- Ability to autonomously manage multiple tasks and projects.
- In-depth understanding of FDA regulatory guidance around Study Data and Submission, including familiarity with the Study Data Technical Conformance Guide, FDA Data Submission Standards Catalog, and associated requirements.
- A minimum requirement of a strong understanding of CDISC Metadata Submission Guidelines (MSG), Define standards, CDASH, SDTM, ADaM, and controlled terminology standards., Statistical Programming
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