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Sas R Python Jobs (NOW HIRING)

Certara USA, Inc.

Senior SAS Developer

Wayne, PA · On-site

We are seeking a highly skilled Senior SAS developer to support Clinical Data Automation with strong experience in SAS, R, and/or Python to support the development of automated clinical data ...

RELX

Data Scientist

Minneapolis, MN · On-site

Responsibilities : • Build and deploy machine learning models using R, Python, SAS, and SQL. • Develop cloud-based analytic solutions and integrate them into enterprise systems. • Analyze large ...

Mercury Insurance Services, LLC

Product Analyst II

$76K - $142K/yr

Use tools such as SQL/SAS/R/Python, Excel, and PowerBI/Hex, and rating/competitive tools to develop and validate datasets used for performance, pricing, and segmentation analysis and visualizations.

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How much do sas r python jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for sas r python in the United States is $54.12, according to ZipRecruiter salary data. Most workers in this role earn between $50.48 and $59.86 per hour, depending on experience, location, and employer.

What is a Sas R Python job?

A SAS R Python job involves working with data analysis, statistical modeling, and machine learning using SAS, R, and Python programming languages. Professionals in this role typically manipulate and analyze large datasets, create predictive models, and generate reports for business insights. These jobs are common in industries like finance, healthcare, and research, where data-driven decision-making is crucial. Strong programming skills, knowledge of data structures, and experience with visualization tools are often required.

Are SAS skills in demand?

SAS skills remain in demand in industries such as healthcare, finance, and government for data analysis and reporting. Professionals with expertise in SAS, along with knowledge of programming languages like R or Python, are often sought after for data management and analytics roles. Certification in SAS can also enhance job prospects in this field.

Which Python job is in demand?

Data analyst, data scientist, and machine learning engineer roles that require Python skills are currently in high demand across various industries. These positions often require knowledge of libraries like Pandas, NumPy, and scikit-learn, and may prefer candidates with experience in cloud platforms and data visualization tools.

Is SAS similar to R or Python?

SAS is a proprietary software suite used for data analysis, while R and Python are open-source programming languages commonly employed for statistical computing and data science. SAS has a graphical user interface and specialized procedures, whereas R and Python offer greater flexibility and a wide range of libraries for data manipulation, modeling, and visualization. Job roles requiring SAS often also value knowledge of R or Python for more advanced or customizable analytics.

What types of projects or analyses are commonly handled by professionals with SAS, R, and Python expertise?

Professionals skilled in SAS, R, and Python are often tasked with handling large-scale data analysis projects, developing predictive models, and automating data pipelines for business reporting or research. Their daily responsibilities may include cleaning and validating datasets, running statistical tests, building machine learning algorithms, and visualizing results for non-technical audiences. Collaboration with data engineers, business analysts, and decision-makers is common to ensure analyses align with organizational goals. This dynamic role offers the opportunity to continually learn new tools and techniques while making a measurable impact on company strategy.

What are the key skills and qualifications needed to thrive in the Sas R Python position, and why are they important?

To excel in a Sas R Python role, you need strong analytical skills, experience in data manipulation and statistical modeling, and proficiency in SAS, R, and Python programming languages. Familiarity with databases, ETL processes, and data visualization tools, as well as certifications in relevant languages or data analysis, are often expected. Attention to detail, problem-solving abilities, and effective communication are important soft skills for collaborating with stakeholders and presenting data-driven insights. These skills and qualifications are critical for transforming complex data into actionable business solutions and driving informed decision-making.

Can we use Python in SAS?

SAS R Python refers to integrating Python with SAS software, allowing users to run Python code within SAS environments or exchange data between the two. This integration enables data analysts and statisticians to leverage Python's libraries alongside SAS procedures for advanced analytics and automation. Skills in both SAS and Python are often required for such roles, and tools like SASPy facilitate this interoperability.
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Sas R Python jobs near you
Infographic showing various Sas R Python job openings in the United States as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $112,568 per year, or $54.1 per hour.

Senior SAS Developer

Certara USA, Inc.

Wayne, PA • On-site

Other

Re-posted 9 days ago

Job description

Overview

About Certara

Certara accelerates the potential of bringing medicines to market and to patients using biosimulation software, technology, and services to transform traditional drug discovery and development. Our clients include more than 2,400 biopharmaceutical companies, academic institutions, and regulatory agencies across 70 countries.

Our goal is to enable the life sciences industry's use of data, modeling, and analytics to make better decisions across the various phases of discovery and drug development. Our software and scientists incorporate modern advances in scientific understanding, drug development experience, data analysis, and AI resulting in significant opportunities to decrease the cost and increase the probability of success for new drug approval and commercialization.

We are seeking a highly skilled Senior SAS developer to support Clinical Data Automation with strong experience in SAS, R, and/or Python to support the development of automated clinical data workflows within a regulatory life sciences environment.

This role is ideal for a candidate who combines traditional clinical statistical programming expertise with hands-on application development, data pipeline automation, and standards-driven clinical data validation experience. The successful candidate will help design, build, and maintain automated data flow processes that support CDISC-compliant data standardization, validation, issue detection, and integration with P21 Enterprise/MDR library or similar clinical data validation systems.

The position requires a strong understanding of CDISC standards, clinical trial data structures, regulatory submission expectations, and practical programming approaches to automate repeatable data quality and validation workflows.


Responsibilities

Clinical Programming and Standards

  • Develop, validate, and maintain clinical trial programming deliverables using SAS, with additional use of R and/or Python where appropriate.
  • Work with clinical trial datasets including SDTM, ADaM, Define.xml, Reviewer's Guides, and associated submission packages.
  • Apply strong knowledge of CDISC standards to support data standardization, transformation, validation, and submission-readiness activities.
  • Review clinical data structures, metadata, controlled terminology, mapping specifications, and validation outputs to ensure regulatory and internal standards compliance.
  • Support development and maintenance of reusable programming standards, macros, utilities, and automation frameworks.

Data Flow Automation and P21 Integration

  • Design and build automated data flow processes to support ingestion, standardization, validation, and reporting of clinical study data.
  • Develop utilities to standardize clinical datasets and metadata before validation and model/data review.
  • Support automation of repeatable data quality checks across studies, programs, and therapeutic areas.
  • Partner with cross-functional teams to identify manual programming or validation steps that can be converted into scalable automated workflows.

Application Development and Technical Implementation

  • Use SAS, R, Python, APIs, scripting, or workflow tools to build automation solutions for clinical data processing and validation.
  • Develop modular, maintainable, and well-documented code that can be reused across studies and projects.
  • Support integration between clinical data repositories, programming environments, P21 systems, metadata repositories, dashboards, and reporting tools.
  • Collaborate with technology, data standards, statistical programming, biometrics, and clinical operations teams to define requirements and implement practical solutions.
  • Contribute to the design of dynamic systems that can ingest data, apply standards, run validation, generate outputs, and support downstream review.

Qualifications
  • B.Sc., M.Sc., or equivalent education in Biostatistics/Statistics, Bioinformatics, Life Sciences, Mathematics, Physical Sciences, or related fields.
  • At least 6 years of Clinical trials related work experience in SAS programming, analysis and reporting in the context of drug development projects is required.
  • Well experienced in the Pinnacle 21 validation process, generating Define.xml using Pinnacle 21.
  • Extensive experience in implementing CDISC standards, as well as annotating CRFs, creating specifications for SDTM and ADaM datasets.
  • Experienced in creating Define.xml and the corresponding Reviewers' Guide for SDTM and ADaM datasets.
  • Good verbal and written communications skills in English.
  • Demonstrated knowledge of clinical drug development.
  • Proficiency in conducting advanced statistical analyses.
  • Must be independent, attention to detail, accountable to quality and timely delivery.
  • Ability to work on multiple collaborative projects, team player mentality.
  • Experience with the R software platform (in addition to SAS) is a plus.

Key Skills

  • SAS programming
  • R and/or Python programming
  • Clinical trial data automation

    Apply