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Sas Statistical Programmer Jobs in Virginia (NOW HIRING)

asrcfh

Junior Logistician, SAS

Elizabeth City, NC · On-site

Experience with statistical analysis tools or programming languages such as SAS strongly preferred ; SPSS, Python or R is a plus. * Any experience in formulating, planning and executing supply ...

Jobtailor

ENERGY AND WATER STATISTICIAN

Arlington, VA · On-site

$90 - $110/hr

Proficiency in statistical programming languages (e.g., R, Python, SAS) and data visualization tools. * Experience translating complex quantitative results into actionable recommendations for ...

Beyond SOF

Data Analyst (TS/SCI, 3 yrs exp)

Reston, VA · On-site

$90 - $130/hr

Knowing a statistical programming language likePythonto enable handling large sets of data and ... Experience with: Excel, Google Sheets, R or Python, SAS, or Microsoft Power BI all a plus

Tempus

Director, Biostatistics

Triangle, VA · On-site

$190K - $260K/yr

... Statistical Programmers, Clinical Operations, Data Managers, etc. * Thorough understanding of statistical principles and clinical experiment methodology. * Computational skills using R, and/or SAS ...

Amyx, Inc.

Analytics Specialist

Fort Belvoir, VA · On-site +1

Undergraduate Degree in Computer Science, Statistics, Engineering, Economics, Business, Applied ... Basic professional certification with analytics tools (e.g., SAS, R). * Experience with delivery ...

Amyx, Inc.

Analytics Specialist

Fort Belvoir, VA · Remote

Undergraduate Degree in Computer Science, Statistics, Engineering, Economics, Business, Applied ... Basic professional certification with analytics tools (e.g., SAS, R). * Experience with delivery ...

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How much do sas statistical programmer jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for sas statistical programmer in Virginia is $56.88, according to ZipRecruiter salary data. Most workers in this role earn between $20.96 and $84.62 per hour, depending on experience, location, and employer.

What is a SAS statistical programmer?

A SAS Statistical Programmer is a professional who utilizes SAS software to manage, analyze, and report statistical data, primarily in industries like pharmaceuticals, healthcare, and clinical research. They write and validate programs to generate tables, listings, and figures for clinical trials or other data-driven studies. Their role involves ensuring data accuracy, compliance with regulatory guidelines, and collaboration with statisticians and researchers to support decision-making.

What types of projects do SAS statistical programmers typically work on, and how do they collaborate with other teams?

Sas Statistical Programmers often work on projects involving the analysis and reporting of clinical trial or observational study data, producing datasets, tables, listings, and figures to support regulatory submissions or scientific publications. They routinely collaborate with biostatisticians, clinical data managers, and project managers to ensure data quality and compliance with industry standards. Daily responsibilities include coding in SAS, validating datasets, troubleshooting data issues, and preparing documentation. Effective communication and teamwork are essential, as the role frequently involves working in multidisciplinary teams to meet project goals and timelines.

What are the key skills and qualifications needed to thrive as a SAS statistical programmer, and why are they important?

To thrive as a Sas Statistical Programmer, you need a strong background in statistics, programming (especially SAS), and data management, usually supported by a degree in statistics, computer science, or a related field. Familiarity with SAS Base, SAS Macro, and clinical data standards like CDISC, as well as relevant industry certifications, are commonly required. Attention to detail, strong problem-solving abilities, and effective communication skills are valuable soft skills. These competencies ensure accurate data analysis, clear reporting, and successful collaboration within cross-functional teams in fields like healthcare or pharmaceuticals.

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Sas Statistical Programmer jobs near you
Infographic showing various Sas Statistical Programmer job openings in Virginia as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $118,309 per year, or $56.9 per hour.

Junior Logistician, SAS

asrcfh

Elizabeth City, NC • On-site

Full-time

Re-posted 14 days ago

ASRC Federal rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

243rd of 450 rated engineering

Job description

Agile Decision Sciences (ADS), a wholly owned subsidiary of  ASRC Federal is seeking a Junior Logistician with an aptitude for Data Analytics (SAS, Power BI, Tableau, Python or R) to join our team supporting the US Coast Guard's Aviation Logistics Center.  Logistics and data analysis are the key to keeping the USCG's aircraft fleet operational and ready for the challenge.  If you want to grow your skills in planning, modeling, forecasting and applying supply chain concepts, join a mission that keeps our country safe, apply today.   

Requirements:

  • BA/BS in one of the following:  Supply Chain, Logistics, Industrial Engineering, Business, Engineering, or Information Systems Management OR
  • BA/BS degree in any field with 2 years of current logistics experience OR 4 years of logistics experience and an Associate's degree or HS Diploma.
  • Internship or classroom training with the life cycle of a product (aircraft product desired)
  • Experience or classroom training with provisioning, internal allocation, distribution and delivery.
  • Experience or classroom training with statistical analysis or modeling.
  • Experience with statistical analysis tools or programming languages such as SAS strongly preferred; SPSS, Python or R is a plus.
  • Any experience in formulating, planning and executing supply optimization using mathematical models is a plus.
  • US Citizenship is required for the clearance.

Responsibilities:

  • Evaluating the entire life cycle of a product, but primarily focused on the following elements:
    • provisioning 
    • internal allocation (sparing quantity and locations)
    • demand forecasting
    • supply planning
    • final disposal (identifying obsolescence)
  • Formulate, plan, & execute supply optimization using mathematical models, planning software, recurring reports, and visualization that provide management the ability to improve operational readiness and asset availability.
  • Draft business case analysis with stated forecasting variables and sensitivity analysis to provide different courses of actions for mission support and sustainment decisions.
  • Develop a working knowledge of modeling and forecasting methodologies, software and programming languages used in the industry.
  • Will learn how to develop project timelines, monitor work completion, and drafting effective communication.  


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