Certified Statistical Programmer with around 8 years of experience in Pharmaceutical and biotech industries.
Self-motivated Senior Statistical Programmer successfully managing multiple, concurrent projects on consistent basis. Experienced in developing TLF's for submissions. Innovative professional willing to work hard to drive business success.
Expertise in preparing Tables, Listings and Graphs (TLG's) using Base SAS, SAS/Graph, SAS/SQL, Macros and SAS/ODS according to Statistical Analysis Plan (SAP).
Exposure in implementing CDISC SDTM and ADaM standards.
Provide SAS programming support on phase I-IV clinical trials.
Experience in Individual as well as Integration projects.
Experience in handling / working on multiple projects and studies.
Expertise in statistical SAS procedures like FREQ, UNIVARIATE, MEANS, SUMMARY reporting procedures like REPORT, PRINT.
Good understanding of drug development process.
Excellent command in producing reports employing various SAS procedures and DATA _NULL_.
Emphasis on adhering to organization standards (SOPs), Statistical Analysis Plan (SAP), documentation, recycling macros and producing reusable macro library. Integrated Summary of Safety (ISS) using CDISC Standards (SDTM).
Exposure to ICH, GCP and MedDRA coding dictionaries.
Excellent command in producing reports employing various SAS procedures. Expertise in developing SAS programs for data cleaning, analysis, and reporting of clinical data, including complex data manipulation and creating customized listings/reports of clinical data.
Excellent record of fast-track career growth and expanding skill-set, handling increasing levels of responsibilities.
Coordinate the randomization, IRT and unblinding activities for clinical protocols, including interacting with statisticians, clinical staff, drug supply management and IRT vendors to assure the correct randomization is followed.
Develop independently randomization and IRT strategies for a program by coordinating specification implementation with vendor.
Experience Integrating data across multiple studies.
Excellent organizational, interpersonal, and communication skills.