Sas Programmer Hyderabad (India)

Provides medical expertise for site identification, study feasibility, study design, conduct, analysis and reporting, generation of integrated databases, pooled analyses for efficacy and safety, ISE and ISSs, dossiers for regulatory submissions for market authorizations of new medicinal products, and diagnostics and devices. Job Responsibilities Generate/Produce/Create - Table, figures, listings and datasets to support the analysis of clinical trials data TFL shells, primary and derived secondary datasets Ad hoc programmes to provide information to the project team and/or client as required Review - Data edit specifications, data handling guidelines, case report forms Programs and command files Reports for consistency between text and tables Perform Billable work in accordance with PRA's policies, procedures and standard operating procedures(SOPs) Ongoing self instruction of new computer system features Current SAS procedures and techniques Work with Biostatisticians/ Pharmacokineticists/Medical writers/other operations staff To generate data summaries Identify inconsistencies or problems in the database and report findings To provide technical oversight and leadership in the areas of analysis and reporting To mentor recent analysis programmers To serve as a resource for and interact to facilitate project timelines Maintain familiarity with the protocol, annotated CRFs and statistical analysis plans of assigned projects Act as a representative and provide inputs for analysis and reporting initiatives Mentor current analysis programmers Assist with bid proposals and marketing presentations Qualifications/Experience Bachelor's/Master's degree in a computer science, statistics, clinical research, biotechnology, from an appropriately accredited institution. Minimum of 3 years of SAS Programming experience with particular emphasis in MACRO language. Work history at a Clinical Research Organization (CRO) or CRO management experience in SAS Programming is required. Knowledge of data structure standards (e.g. CDISC) preferred Provides medical expertise for site identification, study feasibility, study design, conduct, analysis and reporting, generation of integrated databases, pooled analyses for efficacy and safety, ISE and ISSs, dossiers for regulatory submissions for market authorizations of new medicinal products, and diagnostics and devices. Job Responsibilities Generate/Produce/Create - Table, figures, listings and datasets to support the analysis of clinical trials data TFL shells, primary and derived secondary datasets Ad hoc programmes to provide information to the project team and/or client as required Review - Data edit specifications, data handling guidelines, case report forms Programs and command files Reports for consistency between text and tables Perform Billable work in accordance with PRA's policies, procedures and standard operating procedures(SOPs) Ongoing self instruction of new computer system features Current SAS procedures and techniques Work with Biostatisticians/ Pharmacokineticists/Medical writers/other operations staff To generate data summaries Identify inconsistencies or problems in the database and report findings To provide technical oversight and leadership in the areas of analysis and reporting To mentor recent analysis programmers To serve as a resource for and interact to facilitate project timelines Maintain familiarity with the protocol, annotated CRFs and statistical analysis plans of assigned projects Act as a representative and provide inputs for analysis and reporting initiatives Mentor current analysis programmers Assist with bid proposals and marketing presentations Qualifications/Experience Bachelor's/Master's degree in a computer science, statistics, clinical research, biotechnology, from an appropriately accredited institution. Minimum of 3 years of SAS Programming experience with particular emphasis in MACRO language. Work history at a Clinical Research Organization (CRO) or CRO management experience in SAS Programming is required. Knowledge of data structure standards (e.g. CDISC) preferred