Engineering · Full-time · Karnātaka, India
OVERVIEW
Senior Statistical Programmers work with Principal Technical Consultant to provide SAS programming expertise in data extracted from various databases for data transformation of raw data. Develop specifications and programming expertise and validation for Study Data Tabulation Model (SDTM) datasets, Analysis Data Model (ADaM) datasets, and develop programming to produce Tables, Listings and Graphs/Figures (TLGs or TLFs) and other reports to support statistical analysis.
This position reports to a management position of the Professional Services Team.
KEY TASKS & RESPONSIBILITIES
Develop specifications for SDTM datasets and SDTM datasets specifications for Clinical Data Analysis.
Develop SAS programming to produce SDTM datasets and SDTM datasets.
Develop specifications for Analysis Data Model (ADaM) datasets.
Develop SAS programming and validation of ADaM datasets for trial level reporting and integrated safety and efficacy activities.
Responsible for developing and maintaining programming and validation specifications for TLGs as per requirements provided by the Biostatistician.
Create and maintain SAS programs to produce outputs to support the analysis and reporting of clinical trials.
Program and QC data listings, summaries and Graphs as defined in SAP. If required, validate the statistical models used for programming.
Develop re-usable utility macros to build a macro library to support programming tables, listing and graphs for phase 1-4 clinical trial reporting.
Collaborate with the project team to ensure the deliverables are completed on time and with high quality.
Create submission-ready standard data presentations and data sets using standard coding and following standard industry processes including SDLC.
Maintain all project documentation as required by SOP and Processes
Mentor statistical programmers
Ensure compliance with eClinical Solutions and industry quality standards, guidelines, and procedures.
Other duties as assigned.
CANDIDATE’S PROFILE
Education/ Language:
Basic Science/Bachelor of Science degree (Master in Statistics or related science preferred) in health-related field, computer science or equivalent.
SAS Certified
Excellent knowledge of English
Professional Skills & Experience
Minimum 6 years in Pharmaceutical/Biotechnology industry or equivalent IT consulting role
Strong experience in preparations for NDA filings
Strong knowledge of E6, E3, E9 guidelines, 21 CFR Part 11 and clinical trial methodologies
Knowledge of coding dictionaries (WHO, COSTART, ICD-9, MedDRA)
Knowledge of CDISC® related data models like SDTM, and ADAM.
Experience of working on multiple clinical protocols at the same time.
Excellent verbal and written communication skills
Detail oriented, ability to multitask with strong prioritization, planning and organization skills.
Excellent team player
Technical Skills & Experience