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Associate Director Sas Statistical Programming Jobs

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Associate Director Sas Statistical Programming information

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How much do associate director sas statistical programming jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for associate director sas statistical programming in the United States is $57.37, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $85.34 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Associate Director SAS Statistical Programming, and why are they important?

To thrive as an Associate Director SAS Statistical Programming, you need advanced expertise in statistical programming, clinical data analysis, and a degree in statistics, mathematics, or a related field. Proficiency in SAS programming, CDISC standards (SDTM/ADaM), and experience with regulatory submission tools are typically required, along with relevant certifications. Strong leadership, project management, and communication skills set standout professionals apart in this role. These competencies ensure high-quality data deliverables, regulatory compliance, and effective team coordination in clinical research settings.

What are the typical challenges faced by an Associate Director of SAS Statistical Programming when managing project timelines and deliverables?

An Associate Director of SAS Statistical Programming often manages multiple projects simultaneously, each with its own set of deadlines and requirements. One common challenge is balancing resource allocation while ensuring high-quality, compliant deliverables within tight timelines. Additionally, coordinating across cross-functional teams—such as biostatistics, data management, and clinical operations—requires strong communication and leadership skills. Staying updated on evolving regulatory standards and mentoring junior programmers are also key responsibilities that add to the complexity of the role.

What does an Associate Director of SAS Statistical Programming do?

An Associate Director of SAS Statistical Programming leads teams responsible for the design, development, and validation of statistical programming deliverables, primarily using SAS software, in clinical research or pharmaceutical settings. They oversee project timelines, ensure compliance with regulatory guidelines, and collaborate with biostatisticians, data managers, and other cross-functional teams. Additionally, they mentor programming staff, develop standard operating procedures, and contribute to process improvements to support successful submission of clinical study data.

What is the difference between Associate Director Sas Statistical Programming vs Senior SAS Programmer?

AspectAssociate Director Sas Statistical ProgrammingSenior SAS Programmer
ResponsibilitiesOversees statistical programming teams, manages project timelines, and ensures regulatory complianceDevelops and validates SAS programs, supports statistical analyses, and maintains code quality
Required CredentialsBachelor's or Master’s in Biostatistics, Statistics, or related field; extensive SAS experience; leadership skillsBachelor's or Master’s in related field; strong SAS programming skills; relevant industry experience
Work EnvironmentLeadership role within clinical or pharmaceutical companies, often in cross-functional teamsHands-on programming within clinical research teams, often in CROs or pharma companies

The main difference is that the Associate Director Sas Statistical Programming holds a leadership position overseeing teams and projects, while the Senior SAS Programmer focuses on hands-on programming tasks. Both roles require strong SAS skills and industry experience, but the associate director role involves strategic oversight and team management.

Infographic showing various Associate Director Sas Statistical Programming job openings in the United States as of May 2026, with employment types broken down into 89% Full Time, 4% Part Time, and 7% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $119,333 per year, or $57.4 per hour.
Associate Director Statistical Programming - Pharmacometrics

Associate Director Statistical Programming - Pharmacometrics

Regeneron

Warren, NJ • On-site

$176K - $287K/yr

Full-time

Posted 8 days ago


Regeneron rating

8.7

Company rating: 8.7 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

14th of 71 rated pharmaceutical


Job description

Associate Director Pharmacometrics Programming

Associate Director Pharmacometrics Programming provides timely support to the study team on all programming matters according to the project strategies. Provides project leadership, resource planning/coordinating deliverables within project or across multiple projects. Lead programming support for processing/analyzing/storing data from clinical studies according to a Statistical Analysis Plan, clinical pharmacology report requirement and programming specifications using internal standards and guidelines. Providing guidance in implementing and executing the programming and project standards. The evaluation and development of study requirements and validation plan are also in the scope of this position. Works independently to design and test program logic, coding programs, program documentation and preparation of programs. The incumbent is responsible for addressing administrative functions required for project management such as compilation of resource requirements and milestones, identifying/communicating changes in project requirements that may affect key deliverables at the project level, and working with the department head to develop resource strategies.

This position requires 4 days onsite presence based out of our Tarrytown, NY or Warren, NJ location.

A typical day might include the following:

  • Lead the programming and QC of analysis datasets, TFL's across multiple projects or standard tools following Regeneron standard data models or user requirements. Representation of PMX programming functions and coordination of activities with cross line functions and support planning/coordinating timelines in data exchange, deliverables. Create, manage and maintain the programming specifications for the analysis datasets utilizing Regeneron tools and methodologies.
  • Lead the integration of data across studies in support of Exposure-response, PopPK and PopPKPD analysis and 2.7.2.
  • Provide programming support for all PMX deliverable in HAR request, data driven analysis, publications, conference
  • Plan and lead the creation and validation of electronic submission requirements (i.e. annotated CRF, data export files, define documents).
  • Work in a multidisciplinary study team to provide timely and quality support for analysis and reporting of clinical trials up to regulatory approval, product launch and annual reports

This role might be for you if you:

  • Expert SAS programming skills (SAS (Base, Stat, Macro, graph) in a clinical data environment
  • Understanding of relational database structure and reporting systems utilizing multiple data delivery applications
  • Strong Experience/knowledge with implementing standardization methodology, creation of current CDISC data standards.
  • Comprehensive understanding of biostatistics, pharmaceutical clinical development (i.e. safety deliverables, efficacy analysis), experienced in data handling, process and analysis and able to understand/perform Pharmacokinetics, immunogenicity, exposure response analysis in timely manner
  • Mentor junior level staff in therapeutic area requirements. Develop collaborative work environment and be a positive role model.
  • Good Skilled in use of relevant software, including Window SAS, SAS studio (Base, Stat, Macro, graph), MS-Excel, R programming and/or Python.
  • Good knowledges in AI use case in statistical programming and data sciences.

To be considered for this opportunity you must have a Master in Statistics, Computer Science, Mathematics, Engineering, Life Science or related discipline. 10+ years of programming experience preferably in processing clinical trial data in the biotechnology, pharmaceutical or health related industry. Experience in project and people management, and expertise in one or more therapeutic areas is also preferred. SAS Certification desirable in statistics, computer science.

Salary Range (annually) $176,100.00 - $287,300.00


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