Senior Statistical Programmer (Oncology)

IQVIA•Durham, NC

2d•$88,300 - $220,900•Onsite

About The Position

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. The potential base pay range for this role, when annualized, is $88,300.00 - $220,900.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

Requirements

BA/BS degree in mathematics, statistics, computer science or health related field. Or equivalent experience
4 – 8 years of SAS programming working experience in the pharmaceutical industry.
Good SAS programming skills and attention to details
Demonstrated knowledge of regulatory guidelines, including electronic submission standards.
Strong organizational, time management, communication, and project coordination and leadership skills.
Must be able to work well under timeline pressure.
Must be able to work on multiple tasks while coordinating others at the same time.

Responsibilities

Conduct statistical programming work of clinical data using SAS Software.
Ensure that all programs, outputs and documentation are consistent with ICH guidelines and are conducted in compliance with company SOPs.
Generate analysis datasets according to CDISC standard and SAP.
Implement analysis methods according to SAP, and produce summary tables, graphs and data listings using SAS; Conduct adhoc analyses.
Validate programs and associated results produced by other programming colleagues.
Participate in TLF shell preparation and review, and assist statistician for SAP preparation.
Run CDISC validation programs e.g. OpenCDISC reports to ensure ADaM datasets are CDISC compliant.
Learn, and implement Incyte standard SAS macros for efficient analyses of clinical data supervised by Lead programmers.
Work independently to program for individual studies with minimum supervision.
Check that the validation summary reports are clean of errors and warnings, and show proper documentation of SAS programs.
Review individual study CDISC validation output.