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Remote Pharmaceutical Sas Programmer Jobs (NOW HIRING)

Kraken Robotics

Software Developer Level 2, SAS

This position could be Remote, US or in one of our US Offices. The Software Developer Level II, SAS will work on our real-time SAS platform. This is a high-impact role: as a Software Developer Level ...

Cytel

Principal Biostatistician FSP

Cambridge, MA · On-site +1

Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right ... SAS programming skills for QCing critical outputs, Efficacy/Safety tables, and working closely with ...

MM International

Data Scientist

New York, NY · Remote

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based ... SAS programming to deliver robust and scalable analytics across multiple studies. KEY ...

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Remote Pharmaceutical Sas Programmer information

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How much do remote pharmaceutical sas programmer jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for remote pharmaceutical sas programmer 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 Remote Pharmaceutical Sas Programmer vs Remote Clinical Data Analyst?

AspectRemote Pharmaceutical Sas ProgrammerRemote Clinical Data Analyst
Required CredentialsBS in Computer Science, Life Sciences, or related field; SAS certification often preferredBSc in Life Sciences, Statistics, or related; often requires knowledge of data management tools
Work EnvironmentPharmaceutical companies, CROs, or biotech firms; primarily remote or hybridResearch organizations, CROs, pharmaceutical companies; mostly remote
Employer & Industry UsageUsed in clinical trial data programming, reporting, and analysisUsed in data cleaning, management, and statistical analysis of clinical data

The Remote Pharmaceutical Sas Programmer focuses on developing and validating SAS programs for clinical trial data, while the Remote Clinical Data Analyst emphasizes analyzing and managing clinical data sets. Both roles require familiarity with clinical research processes and often share similar certifications, but their core responsibilities differ in programming versus data analysis tasks.

What are the key skills and qualifications needed to thrive as a Remote Pharmaceutical SAS Programmer, and why are they important?

To thrive as a Remote Pharmaceutical SAS Programmer, you need strong expertise in statistical programming, clinical trial data analysis, and a solid understanding of regulatory requirements, typically supported by a degree in statistics, computer science, or a related field. Proficiency with SAS software (Base, Macro, STAT) and familiarity with CDISC standards (SDTM, ADaM) and FDA submission processes are crucial. Exceptional attention to detail, problem-solving skills, and effective communication are vital soft skills for collaborating with global teams and ensuring data integrity. These skills and qualifications are essential to produce accurate, compliant datasets and reports that support successful drug development and regulatory approval.

What is a Remote Pharmaceutical SAS Programmer?

A Remote Pharmaceutical SAS Programmer is a professional who uses the SAS (Statistical Analysis System) software to manage, analyze, and report clinical trial data for pharmaceutical companies, while working remotely. They transform raw clinical data into meaningful statistical outputs, including tables, listings, and figures required for regulatory submissions. Typically, they collaborate with biostatisticians, clinical data managers, and other team members to ensure data integrity and compliance with industry standards. This role requires strong programming skills, attention to detail, and familiarity with clinical trial processes.

How does a Remote Pharmaceutical SAS Programmer typically collaborate with cross-functional teams during clinical trials?

Remote Pharmaceutical SAS Programmers frequently work with clinical data managers, statisticians, and project managers to ensure accurate data analysis and reporting during clinical trials. Collaboration often happens through virtual meetings, shared documentation, and project management tools, requiring strong communication and organizational skills. Programmers are responsible for translating statistical analysis plans into validated SAS code, performing data cleaning, and generating tables, listings, and figures. Consistent communication and proactive status updates help ensure that project timelines are met and regulatory requirements are adhered to, even while working remotely.
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Remote Pharmaceutical Sas Programmer jobs near you
Infographic showing various Remote Pharmaceutical Sas Programmer job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 8% Part Time, and 19% Contract. Highlights an 100% Remote job distribution, with an average salary of $101,929 per year, or $49 per hour.

Statistical Analytical Programmer

Slipstream IT

Blue Bell, PA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

Job description

At Slipstream, we work to streamline IT Support and provide managed solutions with a strategic consulting and global leadership management approach. Our solutions are designed exclusively for emerging pharma and biotech organizations. Slipstream’s industry-leading solutions free clients from the demands of internal IT and allow them to rapidly advance their mission. Led by a leadership team that has been together for over 10+ years, you will join a proven team, culture, and strategy to drive innovation within the IT outsourcing industry while developing your skillset with opportunities for internal growth.

Job Overview:

The Statistical Analytical Programmer plays a key role in turning complex EMR-focused real-world data into clear, analysis-ready datasets and high-quality study outputs. This person will bring strong SAS programming experience and a practical understanding of observational research and epidemiologic methods to support regulatory and scientific projects.

Working closely with epidemiologists, biostatisticians, medical writers, and regulatory partners, this role helps deliver transparent, reproducible analyses that support publications, value evidence, and regulatory decision-making.

Responsibilities and Duties:

  • Analyze real-world datasets to support epidemiologic, scientific, and regulatory projects.
  • Build, validate, and maintain SAS programs for analysis datasets and study outputs.
  • Transform raw real-world data sources—including EMR, EHR, claims, and registries—into accurate, traceable, analysis-ready datasets.
  • Perform quality control and peer review to ensure programming deliverables are accurate and aligned with study plans and SOPs.
  • Document programming decisions and dataset derivations to support reproducibility and audit readiness.
  • Review and validate SAS code and outputs developed by other programmers.
  • Partner with cross-functional teams including epidemiology, biostatistics, medical writing, regulatory, and client stakeholders.
  • Follow internal SOPs, FDA RWE guidance, and other applicable regulatory standards.

Qualification:

  • Education: BS or MS in statistics, biostatistics, epidemiology, computer science, or a related quantitative field.
  • Experience: 5+ years of SAS programming experience in life sciences, ideally supporting observational research, epidemiologic studies, or regulatory projects using real-world data.
  • Special Skills: Strong understanding of real-world data structures, especially EMR- and EHR-based datasets, as well as claims and registry data. Experience supporting retrospective cohort, natural history, burden of illness, comparative effectiveness, and other epidemiologic study designs. Strong programming skills in SAS, with R experience beneficial for data analysis, programming, and statistical workflows. Strong documentation skills, including code annotation, traceability, and reproducibility. Experience with Veeva Vault or similar document management systems is a plus.
  • Personal Characteristics: Collaborative, detail-oriented, and comfortable working across epidemiology, biostatistics, medical writing, and regulatory teams. Able to work independently in a remote environment and manage timelines effectively.

Preferred Qualifications:

  • Experience with R for data analysis, programming, or statistical workflows is highly beneficial.
  • Experience working with Truveta data or similar EMR-based real-world data sources is highly beneficial.

Travel: 10% at the most

Benefits

  • 401k match
  • Comprehensive group health, dental, vision benefits
  • Life insurance/LTD
  • Discretionary PTO

Slipstream is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation or identity, national origin, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Slipstream IT makes hiring decisions based solely on qualifications, merit, and business needs at the time.

This job description may not be inclusive of all assigned duties, responsibilities, or aspects of the job described, and may be amended at any time at the sole discretion of the Employer

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