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Sas Programmer Oncology Jobs (NOW HIRING)

Cytel

Senior Statistical Programmer FSP

Cambridge, MA · On-site +1

As a Senior Statistical Programmer, you will leverage your advanced SAS programming skills and ... Experience supporting immunology, respiratory or oncology studies would be a plus. * Excellent ...

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$14

$49

$79

How much do sas programmer oncology jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for sas programmer oncology in the United States is $49.00, according to ZipRecruiter salary data. Most workers in this role earn between $34.38 and $61.54 per hour, depending on experience, location, and employer.

What is the difference between Sas Programmer Oncology vs SAS Data Analyst?

AspectSas Programmer OncologySAS Data Analyst
Required CredentialsBachelor's in Computer Science, Biostatistics, or related field; SAS certification often preferredBachelor's in Statistics, Data Science, or related; SAS certification beneficial
Work EnvironmentPharmaceutical or healthcare research settings, clinical trial data managementVarious industries including healthcare, finance, and marketing; data analysis roles
Employer & Industry UsagePharmaceutical companies, clinical research organizations, healthcare institutionsCorporations, consulting firms, healthcare organizations, government agencies

While both roles involve SAS programming skills, Sas Programmer Oncology specializes in clinical trial data within the oncology field, focusing on pharmaceutical research. SAS Data Analysts have broader data analysis responsibilities across multiple industries. The key differences lie in industry focus, specific domain knowledge, and the type of data handled.

What are the key skills and qualifications needed to thrive as a SAS programmer in oncology?

To thrive as a SAS Programmer in Oncology, you need expertise in statistical programming, clinical data analysis, and a solid understanding of oncology clinical trial processes, typically supported by a degree in a quantitative field. Proficiency in SAS software, CDISC standards (such as SDTM and ADaM), and familiarity with clinical trial databases and regulatory submission requirements are essential. Strong attention to detail, problem-solving skills, and effective communication are crucial soft skills for ensuring data accuracy and collaborating with cross-functional teams. These skills and qualifications are vital to delivering reliable analyses that support regulatory approvals and advance oncology research.

What is a SAS programmer in oncology?

SAS Programmers in oncology are specialized professionals who use SAS (Statistical Analysis System) software to manage, analyze, and report clinical trial data related to cancer research and treatment. They work closely with statisticians, clinical data managers, and other stakeholders to ensure accurate data analysis and regulatory compliance. Their responsibilities include creating datasets, performing statistical analyses, generating tables, listings, and figures (TLFs), and ensuring data integrity for oncology clinical trials. This role is crucial for supporting drug development and approval processes in oncology.

How does a SAS programmer in oncology typically collaborate with clinical research teams?

As an SAS Programmer in oncology, you will work closely with clinical data managers, statisticians, and medical writers to ensure the accuracy and integrity of clinical trial data. Collaboration often involves participating in regular project meetings, clarifying data requirements, and providing statistical outputs for interim and final study reports. You may also help troubleshoot data discrepancies and contribute to process improvements, making strong communication and teamwork skills essential in this role.
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What job categories do people searching Sas Programmer Oncology jobs look for? The top searched job categories for Sas Programmer Oncology jobs are:
Sas Programmer Oncology jobs near you
Infographic showing various Sas Programmer Oncology job openings in the United States as of August 2026, with employment types broken down into 1% Locum Tenens, 3% As Needed, 79% Full Time, 10% Part Time, and 7% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $101,929 per year, or $49 per hour.

Principal Statistical Programmer

Neshent Technologies

Bellevue, KY • On-site

Full-time

Posted 4 days ago

Job description

We are seeking an experienced Principal Statistical Programmer to lead statistical programming activities for clinical development programs. The ideal candidate will have strong expertise in SAS programming, CDISC standards, ADaM datasets, TLF development, regulatory submissions, and clinical trial data analysis. This role will provide technical leadership, mentor statistical programmers, and collaborate with cross-functional clinical teams.

Required Skills & Experience
  • Experience leading a team of statistical programmers supporting clinical development programs.
  • Strong proficiency in SAS programming for developing and validating:
    • ADaM datasets
    • Tables, Listings, and Figures (TLFs)
    • Statistical analyses
  • Good knowledge of R programming and other statistical programming languages preferred.
  • Strong understanding of SAS programming concepts and the clinical study lifecycle.
  • In-depth knowledge of CDISC standards (SDTM/ADaM) and regulatory requirements.
  • Experience supporting regulatory filings and submission documentation.
  • Experience working in therapeutic areas such as Oncology, Immunology, Neuroscience, or similar domains.
  • Strong communication and collaboration skills with cross-functional teams.
  • Ability to estimate project programming efforts and manage competing priorities.
Roles and Responsibilities
  • Lead statistical programming activities for assigned compounds, indications, or therapeutic areas.
  • Manage and mentor statistical programmers, analysts, and senior analysts.
  • Plan resources, track deliverables, and ensure timely completion of programming activities.
  • Develop and oversee SAS programs for ADaM dataset creation following CDISC standards.
  • Develop and review SAS programs for Tables, Listings, and Figures (TLFs).
  • Ensure consistency and quality of ADaM datasets across individual studies and integrated analyses.
  • Support regulatory submissions by preparing documentation such as reviewer guides and data definition documents.
  • Develop standard SAS macros, programming standards, and operating procedures.
  • Ensure compliance with quality processes and clinical programming best practices.
  • Collaborate with Statisticians, Clinical Data Management, Medical Writing, Regulatory Publishing, and Clinical Operations teams.
Preferred Qualifications
  • Experience in pharmaceutical, biotechnology, or clinical research environments.
  • Strong knowledge of clinical trial programming and regulatory submission processes.
  • Excellent leadership, problem-solving, and organizational skills.
  • Ability to work effectively in a dynamic, deadline-driven environment.

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