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Associate Sas Programmer Jobs in California (NOW HIRING)

Strong SAS programming knowledge. * Guides the successful completion of major programs, projects and/or functions. * Leads or manage the work of others by providing guidance to subordinates or teams ...

Strong SAS programming knowledge. * Guides the successful completion of major programs, projects and/or functions. * Leads or manage the work of others by providing guidance to subordinates or teams ...

Strong SAS programming knowledge. * Guides the successful completion of major programs, projects and/or functions. * Leads or manage the work of others by providing guidance to subordinates or teams ...

Professional training in the health field is a plus. • Minimum of 5 years' experience in SAS, SAS Macro and SQL programming required. Ability to incorporate production code macros in studies ...

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Associate Sas Programmer information

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How much do associate sas programmer jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for associate sas programmer in California is $48.36, according to ZipRecruiter salary data. Most workers in this role earn between $33.94 and $60.72 per hour, depending on experience, location, and employer.

What is an Associate SAS Programmer?

An Associate SAS Programmer is an entry-level professional who specializes in using SAS (Statistical Analysis System) software to manage, analyze, and report data. They typically assist more senior programmers and statisticians in preparing datasets, writing code, and generating statistical reports, often within industries such as healthcare, finance, or research. This role requires a good understanding of SAS programming language, attention to detail, and the ability to follow standard operating procedures. Associate SAS Programmers often work as part of a larger data or analytics team, supporting projects by ensuring data integrity and accurate analyses.

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

To thrive as an Associate SAS Programmer, you need a solid understanding of statistical analysis, data management, and proficiency in SAS programming, often supported by a degree in statistics, computer science, or a related field. Familiarity with SAS software, data visualization tools, and knowledge of regulatory requirements or CDISC standards are typically expected, and SAS certification can be an advantage. Attention to detail, problem-solving ability, and effective communication are key soft skills for this role. These skills are crucial for ensuring accurate data analysis, efficient workflow, and clear reporting in data-driven environments such as clinical research or business analytics.

What are the typical responsibilities of an Associate SAS Programmer in a clinical research setting?

As an Associate SAS Programmer in clinical research, you will primarily be responsible for writing and validating SAS programs to analyze clinical trial data, generate tables, listings, and figures, and ensure data integrity and compliance with regulatory standards. Your daily tasks may also include collaborating closely with statisticians, data managers, and senior programmers to review requirements and resolve data issues. This role often involves learning industry best practices and becoming familiar with CDISC standards, offering a strong foundation for career advancement in clinical data programming.
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Associate Director, Statistical Programming

Associate Director, Statistical Programming

Corcept Therapeutics

Redwood City, CA • On-site

$229K - $269K/yr

Other

Posted 4 days ago


Job description

Reporting to the Head of Statistical Programming, the Associate Director is responsible for the planning, execution, and quality of SAS programming to conduct statistical analyses in support of clinical trial results. This role is also responsible for submission readiness of study data packages per CDISC standards and FDA guidance, and enhancements of the statistical programming infrastructure of the Biometrics department as applicable.

Responsibilities:

  • Work with data management to review CRO generated case report forms, database specifications, and data transfer specifications
  • Review Statistical Analysis Plan, develop specifications, write and execute SAS programs for study data analysis and preparation for clinical study report
  • Develop specifications, build and execute SAS programs for internal data reviews, publications, exploratory, post-hoc and regulatory review
  • Develop SAS macros and tools for repeated program use for exploratory and post-hoc analyses
  • Manage on-time and quality delivery of CRO-generated analyses results
  • Review & provide feedback on CRO generated Statistical Analyses Plans and SDTM and ADaM specifications for domain and analysis dataset development, CDISC compliance and and output displays
  • Validate data and results of statistical analyses generated by CROs
  • Manage internal programming resources for study deliverables as applicable
  • Stay current with regulatory requirements on CDISC and clinical regulatory programming standards
  • Utilize CDISC implementation guides and industry validation software to check compliance of CDISC data packages (SEND, SDTM, and ADaM, define.xmls and reviewer's guides)
  • Evaluate CDISC electronic data packages for completeness, regulatory standards compliance and submission readiness as applicable
  • Participate in standards governance and developing biometric department operational processes as applicable
  • Works with line manager and/or Head of Statistical Programming to establish and implement programming standards for validation, repeated use, and TMF archival of statistical programs and datasets

Preferred Skills, Qualifications and Technical Proficiencies:

  • In depth knowledge of SAS BASE, MACRO, STAT, GRAPH, ACCESS
  • In-depth knowledge of CDISC SDTM and ADaM specifications and associated regulatory guidances
  • In-depth knowledge of Pinnacle 21 and how to address errors, warnings to generate acceptable reviewer's guides (SDRG, ADRG)
  • Knowledge of clinical trial design, data collection, endpoints, statistical methods and standard data summary displays used in oncology and endocrine therapeutic areas preferred
  • Familiarity with data visualization tools (e.g Spotfire, Tableau, RShiny) a plus
  • Ability to operate independently in unstructured situations
  • Ability to communicate technical information to a non-technical audience

Preferred Education and Experience:

  • Sc/B.A. in Science, Statistics, Mathematics, Computer Science, Engineering, or related field (MS preferred)
  • 10+ years of experience in clinical trial development (late stage preferred)
  • FDA/EMEA submission experience a plus
  • Demonstrated ability for project management of statistical programming projects in clinical development
  • Experience managing delivery of statistical programming projects by CROs
  • Able to navigate uncertainty with creative problem solving
  • Ability to take a hands-on, "roll up your sleeves" approach

The pay range that the Company reasonably expects to pay for this headquarters-based position is $229,300 - $269,800; the pay ultimately offered may vary based on legitimate considerations, including geographic location, job-related knowledge, skills, experience, and education.

 Applicants must be currently authorized to work in the United States on a full-time basis.