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Sas Programming Jobs in Cambridge, MA (NOW HIRING)

Cytel

Senior Statistical Programmer FSP

Cambridge, MA · On-site +1

Performing data manipulation, analysis and reporting of clinical trial data, both safety and efficacy (ISS/ISE), utilizing SAS programming * Generating and validating SDTM and ADaM datasets/analysis ...

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Sas Programming information

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$86

How much do sas programming jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for sas programming in Cambridge, MA is $53.56, according to ZipRecruiter salary data. Most workers in this role earn between $37.55 and $67.26 per hour, depending on experience, location, and employer.

What is SAS programming?

SAS programming refers to the use of the SAS (Statistical Analysis System) software suite for data management, advanced analytics, business intelligence, and statistical analysis. SAS programmers write code in the SAS language to import, clean, manipulate, and analyze data, often creating reports and visualizations based on their findings. This skill is widely used in industries such as healthcare, finance, and research, where large datasets must be processed and interpreted efficiently.

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

To thrive as a SAS Programmer, you need expertise in SAS programming language, data analysis, and a background in statistics or computer science, often supported by a relevant degree. Familiarity with SAS software, SQL, and statistical analysis tools, as well as certifications like SAS Certified Specialist, are typically required. Strong attention to detail, problem-solving skills, and effective communication help you interpret data and collaborate with stakeholders. These skills are crucial for delivering accurate data analysis, supporting business decisions, and ensuring data integrity in complex projects.

What are some common challenges faced by SAS programmers in a collaborative team environment?

SAS Programmers often work alongside statisticians, data managers, and clinical research associates, which requires effective communication and collaboration. A common challenge is ensuring consistent data standards and understanding project requirements across diverse teams, especially when managing large or complex datasets. Additionally, SAS Programmers may need to adapt quickly to evolving regulatory guidelines and client specifications, which can impact timelines and workflow. Being proactive in clarifying expectations and maintaining thorough documentation helps address these challenges and ensures smooth project execution.

What is the difference between Sas Programming vs Data Analyst?

AspectSas ProgrammingData Analyst
Required SkillsProficiency in SAS, data manipulation, statistical analysisData visualization, SQL, basic statistical knowledge
Work EnvironmentHealthcare, finance, pharmaceutical industriesBusiness, marketing, finance sectors
CertificationsSAS certifications often preferredGenerally not required, but certifications like CAP or Microsoft Excel certifications helpful

While Sas Programmers focus on developing and maintaining SAS-based data solutions primarily in regulated industries, Data Analysts interpret data using various tools including SQL and Excel. Sas Programming requires specialized SAS skills and certifications, whereas Data Analysts often have broader analytical skills. Both roles are essential for data-driven decision-making but differ in technical focus and industry application.

Are SAS programmers in demand?

SAS programmers are in demand in industries such as healthcare, finance, and pharmaceuticals that rely on data analysis and reporting. The role requires proficiency in SAS software, statistical analysis, and data management, with job growth driven by increasing data-driven decision making across sectors.

What sas programming jobs are in high demand?

SAS programming jobs in high demand include roles such as clinical SAS programmer, data analyst, and biostatistician, especially in healthcare, pharmaceuticals, and finance sectors. These positions often require proficiency in SAS software, data management, and statistical analysis, with demand driven by regulatory compliance and data-driven decision-making.

What are popular job titles related to Sas Programming jobs in Cambridge, MA?

For Sas Programming jobs in Cambridge, MA, the most frequently searched job titles are:

What job categories do people searching Sas Programming jobs in Cambridge, MA look for?

The top searched job categories for Sas Programming jobs in Cambridge, MA are:

Sas Programming jobs near you
Infographic showing various Sas Programming job openings in Cambridge, MA as of August 2026, with employment types broken down into 1% Internship, 75% Full Time, 18% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $111,406 per year, or $53.6 per hour.

Clinical Statistical Programming Infrastructure Engineer (SAS/AWS)- BB

TechData Service Company LLC

Boston, MA • Remote

$70 - $130/hr

Full-time

Medical, Dental, Vision, PTO

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Statistical Programming Infrastructure Engineer (SAS/AWS) – 2 Openings (1 Sr./1 Jr.) – Remote - BBBR

Location: Remote

Position Summary

Client is seeking 2 Statistical Programming Infrastructure Engineers (1 Senior/1 Junior) to help design, build, and maintain the company's next-generation statistical programming infrastructure within AWS. This is a unique remote role combining SAS statistical programming expertise with cloud infrastructure engineering. The successful candidate will lead the migration of on-premise statistical programming environments into a secure, scalable AWS cloud platform while establishing best practices, automation, and governance for future clinical development initiatives.

This individual will partner with Biostatistics, Statistical Programming, IT Infrastructure, Data Management, and Clinical Development teams to create an enterprise-level statistical computing environment supporting research and clinical programs.

Responsibilities

  • Design, build, and administer enterprise statistical programming infrastructure within AWS.
  • Develop and maintain SAS programming environments supporting clinical and research initiatives.
  • Configure AWS servers, storage, networking, permissions, and security for statistical computing.
  • Build standardized directory structures, environments, user access, and shared services.
  • Develop and maintain SAS Macro libraries and utility macros used across programming teams.
  • Create automated deployment and maintenance processes for SAS applications and cloud resources.
  • Support migration of existing SAS applications, programs, and datasets into AWS.
  • Collaborate with IT to establish scalable, secure cloud architecture following GxP and regulatory requirements.
  • Implement infrastructure monitoring, backup, disaster recovery, and performance optimization.
  • Develop documentation, SOPs, and technical standards for cloud-based statistical programming environments.
  • Provide technical leadership and mentorship to programming and infrastructure team members.
  • Troubleshoot complex infrastructure, SAS, and cloud-related issues.
  • Support validation activities and ensure compliance with FDA, GCP, and 21 CFR Part 11 requirements.

Required Qualifications

  • Bachelor's degree in Computer Science, Statistics, Bioinformatics, Information Systems, or related field.
  • SAS programming experience in biotechnology, pharmaceutical, or clinical research environments.
  • Strong knowledge of Base SAS, SAS Macro programming, and utility macro development.
  • Experience administering statistical programming environments.
  • Hands-on experience with AWS infrastructure including:
    • EC2
    • S3
    • IAM
    • VPC
    • CloudWatch
    • Backup & Recovery
  • Experience building cloud infrastructure from the ground up.
  • Strong Linux or Windows Server administration experience.
  • Experience supporting regulated clinical environments.
  • Excellent scripting skills (PowerShell, Bash, or Python preferred).
  • Strong understanding of infrastructure security, user permissions, and access controls.

Preferred Qualifications

  • SAS Platform Administration experience.
  • Experience migrating statistical computing environments to AWS.
  • CDISC SDTM/ADaM familiarity.
  • Experience supporting Biostatistics or Statistical Programming departments.
  • Knowledge of Git, CI/CD pipelines, Terraform, or Infrastructure as Code.
  • Experience supporting GxP validated systems.
  • Knowledge of Seqera, Nextflow, or scientific computing platforms is a plus.

Desired Skills

  • SAS Programming
  • SAS Macro Development
  • Utility Macros
  • AWS Cloud Infrastructure
  • Infrastructure Administration
  • Linux Administration
  • Windows Server
  • Cloud Architecture
  • Automation
  • Clinical Data
  • Statistical Computing
  • Biotechnology
  • Pharmaceutical Industry
  • GCP
  • FDA Compliance
  • 21 CFR Part 11
  • Infrastructure Design
  • AWS Security
  • Cloud Migration
  • Documentation

Company Description

https://quantive.bio/