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Senior Statistical Programming Consultant (SAS)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Statistical Programming Consultant (SAS) with a contract length of "unknown" and a pay rate of "unknown". Requires 8+ years in pharmaceutical or CRO environments, expertise in SAS and CDISC standards, and a degree in Biostatistics or related field.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
April 4, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Unknown
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Santa Monica, CA
🧠 - Skills detailed
#Data Manipulation #ADaM (Analysis Data Model) #Datasets #Macros #Statistics #Computer Science #Compliance #CDISC (Clinical Data Interchange Standards Consortium) #Programming #Consul #SAS
Role description
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About the Role

As a Senior Statistical Programming Consultant, you will play a key role in ensuring the efficient and high-quality production of analysis datasets and statistical outputs for study reports and integrated summaries. You will work closely with internal teams and external vendors to support regulatory, scientific, and business objectives.

Key Responsibilities

   • Develop and validate SAS programs to generate datasets, tables, listings, and figures for clinical trials.

   • Perform data manipulation, macro programming, and quality review to ensure accuracy and compliance.

   • Act as a programming lead on clinical research studies, coordinating programming activities across projects.

   • Ensure adherence to CDISC standards (CDASH, SDTM, ADaM) and regulatory guidelines.

   • Communicate project timelines and status updates effectively to stakeholders.

   • Contribute to process improvements and best practices within the statistical programming function.

Qualifications

   • 8+ years of experience in statistical programming within pharmaceutical or CRO environments.

   • Expertise in SAS programming and SAS Macros.

   • Strong knowledge of clinical data standards (CDISC, SDTM, ADaM).

   • Proven experience leading statistical programming activities.

   • Bachelor’s or Master’s degree in Biostatistics, Computer Science, or a related field.

   • Excellent problem-solving, communication, and analytical skills.