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# Statistical Analyst (Remote, R or SAS Programmer)

- **Company:** Techdata Service Company LLC
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Salary:** $75,000.0 - $155,000.0
- **Contract:** Permanent contract
- **Skills:** Computer Programming, Data Visualization, R (Programming Language), Graphical User Interface, SAS (Software), Data Processing, Macros, Software Application Programming, Information Technology
- **Published:** August 2, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=59aa9a62d84fa506

## About the Role

· MS in Statistics, Math, Computer Science with at least 2 year of programming experience using SAS or R in the pharmaceutical or biotech or CRO industry.

· Experience in providing statistical programming support to early and late phase clinical trials

· Excellent skills in SAS or R programming and statistical reporting.

· In-depth knowledge of CDISC standards for SDTM and ADaM and FDA electronic data submission requirements.

· Familiarity with FDA and ICH regulations and guidelines.

· Excellent problem-solving skills.

· Excellent written and verbal communication skills and organizational and documentation skills.

· Demonstrate positive attitude and the ability to work well with others.

## Description

· Effectively design and code for assigned clinical project(s).Produce and deliver CDISC and regulatory compliant SDTM, and ADaM standard datasets.

· Create and validate tables, figures and listings (TFLs) working closely with cross-functional teams in a timely and high quality fashion, consistently meeting objectives of the study, and regulatory requirements.

· Perform quality control checks/validation of SAS or R code and output produced by other Statistical Programmers for SDTM datasets, ADaM datasets and TFLs.

· Create and review aCRF, SDTM and ADaM datasets specifications for datasets programming.

· Provide programming support for adhoc analysis and periodical safety reports.

· Identify problems and develop global tools that increase the efficiency and capacity of the Statistical Programming group (e.g., macros or graphical user interface applications).

· Provide oversight of statistical programming activities of vendors.

· Participate in development of Statistical Programming deliverables processes and standards, as appropriate.

· Developing applications and tools in support of data visualization, exploratory analysis and reporting, including the use of R Shiny as the reporting layer, and R and/or SAS for any pre-processing/data manipulation.


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