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Remote Sas R Python Jobs (NOW HIRING)

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based ... R, Python, or JavaScript and/or clinical data visualization tools/platforms.

... SAS, R, Python, and other advanced statistical software. * Experience with JSON or XML data ... This role is primarily remote; however, candidates should be located within commuting distance of ...

Psychometrician II

$99K - $136K/yr

... g., SAS, R, Python). * An understanding of test content alignment to state standards ... LI-Remote The below compensation range is based on national market data and may vary by experience ...

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How much do remote sas r python jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for remote 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 the difference between Remote Sas R Python vs Remote Data Analyst?

AspectRemote Sas R PythonRemote Data Analyst
Required SkillsSAS, R, Python, data manipulationExcel, SQL, data visualization, basic statistical analysis
CertificationsSAS certifications, R/Python proficiencyNone mandatory, often preferred certifications in Excel or SQL
Work EnvironmentData analysis, statistical modeling, programmingData interpretation, reporting, visualization
Industry UsageHealthcare, finance, pharmaceuticalsBusiness, marketing, finance

Remote Sas R Python roles focus on advanced statistical programming and data modeling using SAS, R, and Python, often in specialized industries. Remote Data Analysts handle data interpretation, reporting, and visualization, typically requiring skills in Excel and SQL. While both roles involve data work, Sas R Python positions demand programming expertise, whereas Data Analysts focus more on data presentation and insights.

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Senior Statistical Programmer - Remote

Senior Statistical Programmer - Remote

Penfield Search Partners

Fairfield, CT • On-site, Remote

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Description Contact: Neisha Camacho/Terra Parsons - teamnt@penfieldsearch.com No 3rd party candidates Senior Statistical Programmer to support programming activities within CNS in support of clinical trials and regulatory submissions. In this role, you will transform raw clinical data into analysis ready datasets, generate high-quality TLFs, and contribute to the continuous improvement of analysis workflows and programming processes. Key Responsibilities: Provide statistical programming support to generate SDTM and ADaM data sets, tables, listings, and figures for individual studies as well as ISS/ISE analyses

Provide programming support to internal teams including identifying, reporting, and resolving raw data issues Participate in the review of statistical analysis plans, table specification, develop specification for SDTM and ADaM data sets. Participate in study team meetings and address issues that may affect statistical programming. Support and participate in the preparation of clinical study reports, regulatory submissions, and annual DSUR and safety reports.

Perform ad hoc analyses and data validation. Develop and maintain necessary programming macros or tools to effectively support all programming needs Develop and contribute to internal teams SOPs and working documents related to EDC studies, FDA requests, independent validation, and general statistical programming processes. Qualifications Bachelor's or Master's degree in biostatistics, computer science, or related fields 8 years in statistical programming within the pharmaceutical, biotechnology, or CRO industry, including regulatory submissions within CNS is preferred.

Advanced SAS programming; CDISC standards expertise; knowledge of additional programming languages (R, Python) is a plus. Strong Macro and tool development and validation Experience in BLA, NDA/sNDA submissions. Proficiency in additional programming languages such as R or Python, along with experience using SAS/Graph and statistical packages, is preferred.

Strong communication skills and the ability to collaborate within cross-functional teams to manage priorities and meet deadlines are essential.