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Sas R Jobs in New York (NOW HIRING)

MSD

Senior Statistical Programmer

Rahway, NJ · On-site

Significant SAS or R programming experience for data manipulation, analysis and reporting * Designs and develops complex programming algorithms * Ability to comprehend analysis plans which may ...

Scout ET

Jr SAS Architect

Englewood Cliffs, NJ

Experience with Time series modeling, ETS, Forecasting, R or even "mixed modeling". * The resources for running SAS Forecast Server should be comfortable executing project setup, running models ...

TechData Service Company LLC

Be Seen First

Biostatistician

Basking Ridge, NJ · Remote

$100K - $230K/yr

Good knowledge of statistical programming languages (including SAS, R); * Solid oncology and/or hematology experience * Experience with advanced study design or at least one NDA/BLA eCTDs or other ...

Touro University

Data Analyst

Valhalla, NY · On-site

$32 - $40/hr

Proficiency in statistical software such as Stata, SAS, R, and SPSS. * Effective communication and collaboration skills. * Ability to work independently and as part of a team in a fast-paced ...

New York Medical College

Data Analyst

Valhalla, NY · On-site

$32 - $40/hr

Proficiency in statistical software such as Stata, SAS, R, and SPSS. * Effective communication and collaboration skills. * Ability to work independently and as part of a team in a fast-paced ...

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$53

$87

How much do sas r jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for sas r in New York is $53.61, according to ZipRecruiter salary data. Most workers in this role earn between $37.60 and $67.31 per hour, depending on experience, location, and employer.

What is the difference between Sas R vs Data Analyst?

AspectSas RData Analyst
Required CredentialsKnowledge of SAS and R programming languages, certifications like SAS Certified Data ScientistProficiency in Excel, SQL, and statistical tools; often a bachelor's degree in related fields
Work EnvironmentTypically in analytics or data science teams within corporations, finance, healthcare, or techIn various industries including finance, marketing, healthcare, often in office settings
Employer & Industry UsageUsed by organizations requiring advanced statistical analysis and data modelingEmployers seeking data interpretation, reporting, and basic analysis skills

While Sas R specialists focus on advanced statistical programming using SAS and R, Data Analysts perform broader data interpretation and reporting tasks. Sas R roles often require specific certifications and programming expertise, whereas Data Analysts may have a more general skill set. Both roles are vital in data-driven industries, but Sas R professionals typically handle complex modeling, while Data Analysts focus on insights and reporting.

What are some common challenges faced by SAS R professionals when working on cross-functional analytics projects?

SAS programmers often collaborate with teams from data science, business analytics, and IT, which can present challenges such as aligning on data definitions, managing varying data sources, and ensuring clear communication of technical findings to non-technical stakeholders. Additionally, adapting SAS code to integrate with other platforms or tools (like Python or SQL databases) may require extra effort. Being proactive in clarifying project requirements and maintaining transparent documentation helps smooth these collaborative processes and ensures project success.

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

To thrive as a SAS Programmer, strong analytical skills, expertise in statistical analysis, and proficiency in SAS programming, often supported by a degree in statistics, computer science, or a related field, are essential. Familiarity with SAS software tools, databases, and data management systems, as well as certifications like SAS Certified Base Programmer, are commonly expected. Attention to detail, problem-solving abilities, and effective communication set standout professionals apart in this field. These skills are crucial for ensuring accurate data analysis, effective reporting, and valuable insights in data-driven environments.

What is a SAS R professional?

SAS R professionals are experts who use the SAS (Statistical Analysis System) and R programming languages to analyze and interpret complex data sets. They often work in fields such as healthcare, finance, and research, performing data manipulation, statistical modeling, and reporting. Their expertise in both tools allows them to handle large data volumes efficiently and produce actionable insights for their organizations.
What are popular job titles related to Sas R jobs in New York? For Sas R jobs in New York, the most frequently searched job titles are:
What job categories do people searching Sas R jobs in New York look for? The top searched job categories for Sas R jobs in New York are:
Sas R jobs near you
Infographic showing various Sas R job openings in New York as of August 2026, with employment types broken down into 51% Full Time, 47% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $111,514 per year, or $53.6 per hour.

Senior Clinical Programmer - SDTM and R/SAS 3635027

Axiom Path

Bridgewater, NJ • Remote

$75 - $80/hr

Full-time

Posted 25 days ago

Job description

Be Part Of A High-Performing Team:

Join a growing clinical programming function within a science-driven biopharmaceutical organization developing therapies for patients with serious and rare diseases. This newly established team is bringing critical SDTM programming capabilities in-house and works closely with data management, biostatistics, and statistical programming. The environment is collaborative, technically rigorous, and well suited to an experienced programmer who enjoys building reliable clinical-data solutions while helping shape new internal processes.

What's In Store For You:

Engagement: W2 only (no C2C/1099)

This is a fully remote, 12-month consulting assignment open to candidates located anywhere in the United States. Availability during Eastern Time business hours is preferred.

The role offers the opportunity to become one of the early members of a growing clinical programming team and contribute directly to the organization’s transition from outsourced SDTM programming to an internal delivery model. A contract extension may be possible based on performance and business needs, although permanent conversion is not currently planned.

How You Will Make An Impact:

  • Create production-quality SDTM datasets using both SAS and R.
  • Independently perform quality control and validation of SDTM datasets.
  • Develop dataset specifications using CDISC standards and current SDTM Implementation Guides.
  • Create annotated CRFs, including domain mappings, annotation boxes, controlled terminology, and page-level placement.
  • Apply existing team macros and programming utilities to support annotated CRF and SDTM production.
  • Develop SAS- and R-based listings and reports supporting medical monitoring, clinical data management, and statistical endpoint monitoring.
  • Perform clinical-data checks, reconciliations, and issue investigation as assigned.
  • Collaborate closely with data managers, biostatisticians, statistical programmers, and clinical-study stakeholders.
  • Help establish scalable internal standards, workflows, and quality practices as SDTM programming transitions in-house.
  • Manage multiple study deliverables independently while maintaining accuracy, traceability, and timely execution.

Do you bring proven success in SDTM programming with both SAS and R?

  • Approximately 8–10 years of hands-on clinical programming experience in pharmaceutical, biotechnology, CRO, or related regulated clinical environments.
  • Strong production programming proficiency in both SAS and R.
  • Demonstrated experience creating and independently quality-checking SDTM datasets.
  • Strong knowledge of CDISC standards and current SDTM Implementation Guides.
  • Hands-on experience creating annotated CRFs, including page-level annotations and terminology mapping.
  • Ability to use established macros, functions, and programming utilities.
  • Experience translating raw clinical data, CRFs, specifications, and programming standards into compliant SDTM deliverables.
  • Strong analytical, troubleshooting, documentation, and quality-control skills.
  • Ability to work independently as an individual contributor in a small and evolving team.
  • Strong written and verbal communication skills.
  • Experience with JReview is highly preferred.
  • Experience with Shiny, Pharmaverse, or R Markdown is highly desirable.
  • Exposure to SQL programming is preferred.
  • Experience supporting medical monitoring, data-management reports, reconciliations, or statistical endpoint monitoring is beneficial.