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Sas Clinical Data Jobs (NOW HIRING)

Create advanced SAS macros, templates, and utilities for efficient data processing * Act as the ... Extensive programming experience in a clinical trial environment (CRO/Pharma). * Expertise in SAS ...

Clinical Data Manager

Sunnyvale, CA · On-site

$70 - $75/hr

Support clinical data review requirements from Lead data manager. * Create customise data review ... Excellent hands on experience on SAS or R programming language for data review listings/tracker.

Venesco is seeking a skilled SAS Programmer to support clinical data analysis and regulatory submission activities. Requirements Key Responsibilities: Develop SAS programs for tables, listings, and ...

Venesco is seeking a skilled SAS Programmer to support clinical data analysis and regulatory submission activities. Requirements: Key Responsibilities: • Develop SAS programs for tables, listings ...

Venesco is seeking a skilled SAS Programmer to support clinical data analysis and regulatory submission activities. Requirements Key Responsibilities: • Develop SAS programs for tables, listings ...

Clinical Data Associate

Redmond, WA · On-site

$75K - $95K/yr

Run and review SAS and/or R programs and data listings as directed; assist in troubleshooting basic ... Exposure to a Clinical EDC system (e.g., Medidata Rave, Veeva EDC) preferred. * SAS, Python, and R ...

SAS Programmer About CICONIX: CICONIX LLC is a Veteran Owned Small Business specializing in ... Develop statistical programming specifications (clinical data) and other statistical programs used ...

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Sas Clinical Data information

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$19

$54

$80

How much do sas clinical data jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for sas clinical data in the United States is $54.04, according to ZipRecruiter salary data. Most workers in this role earn between $41.59 and $68.03 per hour, depending on experience, location, and employer.

What are some common challenges faced by SAS Clinical Data professionals when working with large clinical trial datasets?

SAS Clinical Data professionals often encounter challenges such as handling missing or inconsistent data, ensuring data integrity, and adhering to strict regulatory requirements. Managing large and complex datasets requires strong attention to detail and effective communication with clinical research teams to clarify data discrepancies. Additionally, tight project deadlines and evolving study protocols can make prioritizing tasks and maintaining high data quality demanding. Collaborating closely with biostatisticians and data managers is essential for successful data cleaning, validation, and analysis.

What are the key skills and qualifications needed to thrive as a SAS Clinical Data Analyst, and why are they important?

To thrive as a SAS Clinical Data Analyst, you need a solid background in statistics, data management, and clinical research, typically supported by a degree in life sciences, statistics, or a related field. Proficiency in SAS programming, knowledge of CDISC standards (SDTM/ADaM), and familiarity with clinical trial data systems such as EDC are essential. Strong attention to detail, problem-solving abilities, and effective communication skills set outstanding analysts apart. These competencies ensure accurate data analysis, regulatory compliance, and clear reporting, all critical for successful clinical trials.

What are SAS Clinical Data professionals?

SAS Clinical Data professionals are experts who use SAS (Statistical Analysis System) software to manage, analyze, and report clinical trial data in the pharmaceutical, biotechnology, and healthcare industries. They play a key role in ensuring the accuracy, integrity, and regulatory compliance of clinical data. Their work involves data cleaning, manipulation, statistical analysis, and the preparation of reports for regulatory submissions. These professionals often collaborate with clinical researchers, statisticians, and regulatory teams to support drug development and approval processes.

What is the difference between Sas Clinical Data vs Clinical Data Analyst?

AspectSas Clinical DataClinical Data Analyst
Required CredentialsExperience with SAS, biostatistics, clinical research certificationsDegree in life sciences, data analysis skills, some SAS knowledge
Work EnvironmentPharmaceutical companies, CROs, clinical research settingsHealthcare organizations, research institutions, biotech firms
Employer & Industry UsagePrimarily in clinical trial data managementBroader data analysis in healthcare and research

While both roles involve handling clinical data, Sas Clinical Data specialists focus on managing and analyzing clinical trial data using SAS software, often requiring specific certifications. Clinical Data Analysts may work across various healthcare settings, utilizing a broader range of data tools. Understanding these differences helps in choosing the right career path or job search focus.

More about Sas Clinical Data jobs
Infographic showing various Sas Clinical Data job openings in the United States as of June 2026, with employment types broken down into 6% Locum Tenens, 37% As Needed, 9% Full Time, 9% Part Time, 6% Temporary, and 33% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $112,399 per year, or $54 per hour.

Clinical SAS Programmer

Interon IT Solutions

Chantilly, VA • Remote

Contractor

Posted 2 days ago


Job description

#W2 Role

Job Title: Clinical SAS Programmer

No of positions- 2

Location- Remote
Experience Required:6+ Years
Education: Bachelor’s degree in Computer Science, Computer Engineering, or related technical field

 

Job Summary

We are seeking a Clinical SAS Programmer with strong experience in SAS programming and CDISC standards within a regulatory environment. The ideal candidate will be responsible for creating and validating SDTM domains and ADaM datasets, developing mapping specifications, and supporting clinical data programming activities with accuracy and compliance.

Key Responsibilities

  • Develop and validate specifications for creating SDTM domains from raw/source clinical data.
  • Create and validate CDISC-compliant SDTM domains and ADaM datasets using SAS.
  • Prepare mapping specifications from CRF and other raw data sources to appropriate SDTM domains.
  • Develop specifications to map SDTM datasets to ADaM datasets.
  • Write clear and detailed programming instructions for complex data derivations.
  • Perform dataset validation and quality checks to ensure regulatory compliance and data integrity.
  • Develop SAS macros and reusable programs to improve efficiency and streamline workflow.
  • Apply advanced SAS programming techniques for custom clinical data programming needs.
  • Work effectively in a dynamic environment and adapt quickly to changing project requirements.

Required Qualifications

  • Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field.
  • 4+  years of experience in clinical SAS programming.
  • Strong hands-on experience using SAS to create CDISC-compliant outputs in a regulated clinical environment.
  • Solid understanding of SDTM, ADaM, and clinical data standards.
  • Experience in writing and validating dataset specifications.
  • Familiarity with P21 software.
  • Excellent written and verbal communication skills.

Preferred Qualifications

  • Experience with R and Python is a strong plus.
  • Ability to work independently and collaboratively within cross-functional teams.
  • Strong attention to detail and problem-solving skills.