- Skilled in extracting data from external sources and developing ADaM datasets using SAS 9.4.
- Experienced in creating ADaM datasets, Tables, Listings, Figures (TLFs), reports, and summaries according to Statistical Analysis Plans (SAPs) and mock shells.
- Strong hands-on experience with Base SAS, SAS Macros, SAS/ODS, and SAS/SQL in Windows environments.
- Worked on ADaM domains such as ADSL, ADLB, ADVS, ADMH, and ADAE.
- Worked on SDTM domains including DM, LB, VS, MH, and AE.
- Ability to review SAPs and TLF shells from a programming perspective.
- Proficient in data manipulation using SAS formats/informats, merge techniques, PROC DATASETS, PROC SORT, PROC TRANSPOSE, PROC MEANS, and generating safety reports.
- Experienced in validating ADaM datasets and listings using PROC COMPARE.
- Strong command in generating reports using PROC REPORT, PROC MEANS, PROC FREQ, and PROC TRANSPOSE.
- Good knowledge of clinical trial phases (Phase I–III).
Project-1: SDTM Creation & Validation (CMP-135)
Title: Phase II, Double-Blind, Randomized, Placebo-Controlled Trial in Ovarian Cancer.
Responsibilities:
- Created SDTM domains DM, EX, MH, DS, and VS by mapping raw CRF datasets to SDTM standards according to SDTM IG and study specifications.
- Performed validation of SDTM datasets using PROC COMPARE, ensuring 100% match with primary programmer outputs.
- Reviewed SDTM specifications, aCRF, and protocol to ensure accurate variable derivations, controlled terminology, and domain compliance.
- Gained hands-on experience with SAS coding, Data Step, SAS Macros, PROC SORT, PROC TRANSPOSE, PROC REPORT, PROC SQL.
- Generated all deliverables including SAS code, log files, and validation reports (PDF/RTF), maintaining regulatory submission quality.
Project-2: ADaM Dataset Creation & TLF Generation
Title: Phase II, Double-Blind, Randomized, Placebo-Controlled Trial in Ovarian Cancer.
Responsibilities:
- Developed ADaM datasets ADSL, ADLB, ADVS, ADAE, and ADMH based on SDTM datasets and study specifications.
- Generated Tables, Listings, and Figures (TLFs) according to the Statistical Analysis Plan (SAP) and mock shells.
- Performed validation using PROC COMPARE to ensure dataset accuracy and 100% match with expected outputs.
- Strong hands-on experience with SAS Base, SAS Macros, SAS/SQL, PROC SORT, PROC TRANSPOSE, PROC REPORT, PROC MEANS, PROC FREQ for data manipulation and reporting.
- Reviewed SAPs and TLF shells from a programming perspective, ensuring compliance with CDISC standards and regulatory requirements.