Lead statistical programming of clinical trials including project management, coordination of internal reviews (SAS EG, IBM Specification, Protocol, aCRF), and programming deliverables using Medidata Rave.

Provide statistical programming: CSR, Efficacy and Oracle Clinical; Create & implement delivery strategies for CDISC standard submissions to enable delivery of projects.

Gather data from all available sources and using SAS to process it and Study management reports using SAS.

Mentor Statistics submission team to create Pinnacle reports by using P21 tool & validate reports before submitting to Data review team.

Manage process of integration & conversion of datasets into single report or listings for studies using reporting tools & facilitate data review by reports utilizing BOXI, J -Review, and SPOTFIRE.

Perform statistical modeling such as Regression, Robustreg, Mix, Lifereg, Mianalyze, Phreg, & design coding programs for corroboration of clinical data quality checks in statistics models such as SAS STATS tool.

Create analysis datasets (e.g., ADaM) specifications based on Statistical Analysis Plan (SAP) or any study analysis algorithm.

Lead Programming project teams by assigning task & reviewing programs; Convert analysis datasets specifications into SAS code to generate datasets & Tables, Listings and Figures outputs.

Provide mentoring to junior-level SAS programmers.

Position Requirements: Master's degree or a foreign equivalent degree in Healthcare Informatics, Health Admin, Pharmacology, Toxicology, Pharmacy, Chemistry, Computer science, Public Health, Bio Informatics, Bio Technology, Statistics or related field plus two years of work experience in any position/title providing experience with SAS.