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Senior SAS Programmer

4 weeks ago

Hyderabad, Telangana, India princeps technologies Full time

Job Title: Senior SAS Programmer

Location: [Hyderabad / Remote / Hybrid]

Employment Type: Full-Time

Experience: 5+ Years

Job Summary:

We are seeking a highly skilled Senior SAS Programmer to support the statistical programming activities for clinical trials. This role involves end-to-end SAS programming for analysis and reporting, with a focus on regulatory compliance, data standards, and high-quality deliverables. The ideal candidate should have strong experience in efficacy analysis, SDTM and ADaM generation, and TLF programming.

Key Responsibilities:

  • Perform data manipulation, analysis, and reporting of clinical trial data, including both safety and efficacy datasets (ISS/ISE), using SAS.
  • Generate and validate SDTM and ADaM datasets in accordance with CDISC standards.
  • Create and validate Tables, Listings, and Figures (TLFs) for study reports and regulatory submissions.
  • Develop complex ad-hoc reports from raw clinical data.
  • Apply a strong understanding of efficacy analyses and clinical endpoints.
  • Contribute to the preparation and review of submission documents and electronic Case Report Tabulations (eCRTs).
  • Perform production programming and quality control (QC/validation) to ensure accuracy and consistency.
  • Act as a team player, demonstrating commitment to quality and meeting project deadlines.
  • Stay adaptable and flexible to shifting priorities in a fast-paced clinical environment.

Required Qualifications:

  • Bachelor's or Master's degree in Life Sciences, Statistics, Computer Science, or a related field.
  • 6+ years of hands-on experience in clinical trial programming using SAS.
  • Proficient in CDISC standards (SDTM, ADaM), including mapping and validation.
  • Strong working knowledge of Base SAS, SAS Macros, SAS/STAT, and SAS/GRAPH.
  • Experience in generating datasets and outputs for regulatory submissions (including ISS/ISE).
  • Familiarity with eCTD standards, including Define.xml and dataset documentation.
  • Excellent attention to detail and strong analytical problem-solving skills.

Why Join Us?

Join a collaborative team environment where your expertise in clinical data programming directly contributes to advancing global healthcare. We value precision, integrity, and innovation in every project we undertake.