ADaM Data Standards Lead — Statistical Programming Architect

IQVIA; North Carolina; On-site; USD 88,000 - 221,000; Full time

Job summary

IQVIA is seeking a senior SAS programmer to develop methodology for the department and coordinate integrated programming solutions for ADaM datasets. You will provide technical leadership, analyze client requirements, and offer internal consulting on complex projects.

The role emphasizes adherence to regulatory guidelines, strong organizational skills, and the ability to manage multiple tasks under tight timelines in a pharmaceutical setting.

Qualifications

• BA/BS degree in mathematics, statistics, computer science or health related field, or equivalent experience.
• 4–8 years SAS programming experience in the pharmaceutical industry.
• Strong SAS skills with attention to ADaM datasets and standards.
• Regulatory guidelines knowledge, including electronic submission standards.
• Strong organizational, time-management, communication, and leadership skills.

Responsibilities

• Provide experienced technical expertise to develop process methodology for the department.
• Plan and coordinate development of integrated programming solutions for SAS needs.
• Provide internal consulting, including specifications and user needs analysis for complex projects.
• Demonstrate technical leadership within the department and coordinate multi-task efforts.

Skills

SAS programming

ADaM metadata

Leadership

Communication

Time management

Project coordination

Regulatory knowledge

Education

BA/BS in math or statistics

Tools

SAS

ADaM standards

P21 validation

eSubmission docs

Job description

IQVIA is seeking a senior SAS programmer to develop methodology for the department and coordinate integrated programming solutions for ADaM datasets. You will provide technical leadership, analyze client requirements, and offer internal consulting on complex projects.

The role emphasizes adherence to regulatory guidelines, strong organizational skills, and the ability to manage multiple tasks under tight timelines in a pharmaceutical setting.