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Statistical Programmer Jobs in Reston, VA (NOW HIRING)

Venesco LLC

SAS Programmer

Falls Church, VA · On-site

... statisticians and data management teams • Support regulatory submissions and audits Minimum ... programming experience in clinical research • Experience with CDISC standards Preferred ...

VENESCO, LLC

SAS Programmer

Falls Church, VA · On-site +1

Bachelor's or Master's degree in Statistics or related field 5+ years of SAS programming experience in clinical research Experience with CDISC standards Preferred Qualifications: Experience ...

VENESCO LLC

SAS Programmer

Falls Church, VA · On-site

... statisticians and data management teams • Support regulatory submissions and audits Minimum ... programming experience in clinical research • Experience with CDISC standards Preferred ...

Ra

Marketing Analytics Manager

Arlington, VA · On-site

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Ra

Marketing Analytics Manager

Washington, DC · On-site

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Ra

Marketing Analytics Senior Manager

Washington, DC · On-site

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

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All JobsStatistical Programmer JobsStatistical Programmer Jobs in Reston, VA

Statistical Programmer information

See Reston, VA salary details

$87.9K

$153.2K

$259K

How much do statistical programmer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for statistical programmer in Reston, VA is $153,236.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,000.00 and $166,500.00 per year, depending on experience, location, and employer.

What are statistical programmers?

Statistical programmers are professionals who use statistical software and programming languages, such as SAS, R, or Python, to manage, analyze, and report data, often in clinical trials, public health, or research settings. They play a crucial role in transforming raw data into meaningful results by writing code for data cleaning, data manipulation, statistical analysis, and generating reports. Statistical programmers often work closely with statisticians, data managers, and researchers to ensure the accuracy and integrity of data analyses. Their work is essential in industries like pharmaceuticals, healthcare, and academia.

Are SAS Programmers in demand?

SAS Programmers are in demand in industries such as pharmaceuticals, healthcare, and finance, where data analysis and regulatory reporting are critical. Skills in SAS, along with knowledge of data management and statistical analysis, increase employability, especially for roles requiring compliance with industry standards. The demand for SAS programmers remains steady due to ongoing needs for data-driven decision-making and regulatory submissions.

What Does a Statistical Programmer Do?

A statistical programmer creates statistical programming deliverables. You ensure excellent programming of analysis-ready data, tables, and figures. You may use Stata for general purpose statistical analysis or SPSS for interactive or batched statistical analysis. Your responsibilities include developing standard operating procedures and complying with guidelines. Other duties include remaining informed on developments in programming standards and meeting all regulatory requirements. You also create PROC statements that call upon named procedures for analysis. You develop programs for dataset integration, prepare resource plans, and assist with quality control of datasets.

What are some common challenges faced by Statistical Programmers when working on clinical trial data?

Statistical Programmers often encounter challenges such as managing large, complex datasets, ensuring data integrity, and adhering strictly to regulatory standards (like CDISC SDTM and ADaM). They must also collaborate closely with biostatisticians and data managers to accurately translate statistical analysis plans into code. Tight project timelines and shifting priorities can require strong organizational skills and adaptability. Effective communication and attention to detail are essential for navigating these challenges and delivering reliable results.

How much does a statistical programmer earn?

The average salary for a statistical programmer typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in SAS, R, or Python may earn higher compensation, often exceeding $120,000 per year.

What is SAS developer salary?

The salary for a SAS developer typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Skilled SAS programmers with certifications and knowledge of data management tools often earn higher salaries, especially in pharmaceutical, healthcare, and finance sectors.

What does a statistical programmer do?

A statistical programmer develops and maintains code to analyze clinical trial data, often using programming languages like SAS, R, or Python. They prepare datasets, generate reports, and ensure data accuracy for regulatory submissions, working closely with statisticians and data managers in a regulated environment.

What are the key skills and qualifications needed to thrive as a Statistical Programmer, and why are they important?

To thrive as a Statistical Programmer, you need a strong background in statistics, data analysis, and programming—typically with a degree in statistics, mathematics, computer science, or a related field. Expertise in statistical software such as SAS, R, or Python and familiarity with data management systems like CDISC or SQL are often required, along with relevant certifications. Strong problem-solving abilities, attention to detail, and clear communication skills help you interpret data accurately and collaborate effectively with cross-functional teams. These skills ensure the delivery of high-quality, reproducible statistical analyses crucial for informed decision-making in research and industry settings.

What is the difference between Statistical Programmer vs Data Analyst?

AspectStatistical ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Biostatistics, or related field; experience with SAS, R, or PythonBachelor's in Statistics, Data Science, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentPharmaceutical, clinical research, or healthcare industries; focus on programming and data managementVarious industries including finance, marketing, healthcare; focus on data interpretation and reporting
Employer & Industry UsageCommon in clinical trials, biotech, pharma companiesUsed across multiple sectors like finance, retail, and healthcare

While both roles handle data, Statistical Programmers primarily focus on programming and managing clinical or research data, whereas Data Analysts interpret data to generate insights across various industries. The roles often overlap in skills like statistical software proficiency but differ in their core responsibilities and industry focus.

More about Statistical Programmer jobs
What are the most commonly searched types of Statistical Programmer jobs in Reston, VA? The most popular types of Statistical Programmer jobs in Reston, VA are:
What are popular job titles related to Statistical Programmer jobs in Reston, VA? For Statistical Programmer jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Statistical Programmer jobs in Reston, VA look for? The top searched job categories for Statistical Programmer jobs in Reston, VA are:
What cities near Reston, VA are hiring for Statistical Programmer jobs? Cities near Reston, VA with the most Statistical Programmer job openings:
Statistical Programmer jobs near you
Infographic showing various Statistical Programmer job openings in Reston, VA as of June 2026, with employment types broken down into 9% Internship, 81% Full Time, and 10% Contract. Highlights an 100% In-person job distribution, with an average salary of $153,236 per year, or $73.7 per hour.
Statistical Analyst (Remote Eligible)

Statistical Analyst (Remote Eligible)

Mathematica

Washington, DC • On-site, Remote

Other

Posted 15 days ago

Job description

Mathematicaapplies expertise at the intersection of data, methods, policy, and practice toimprove well-being around the world. We collaborate closely with public- andprivate-sector partners to translate big questions into deep insights thatimprove programs, refine strategies, and enhance understanding. Our work yieldsactionable information to guide decisions in wide-ranging policy areas, fromhealth, education, early childhood, and family support to nutrition,employment, disability, and international development. Mathematica offers ouremployees competitive salaries, and a comprehensive benefits package, as wellas the advantages of being 100 percent employee owned. As an employee stockowner, you will experience financial benefits of ESOP holdings that haveincreased in tandem with the company's growth and financial strength. You willalso be part of an independent, employee-owned firm that is able to define andfurther our mission, enhance our quality and accountability, and steadily growour financial strength. Learn more about our benefits here: https://www.mathematica.org/career-opportunities/benefits-at-a-glance
AtMathematica, we take pride in our commitment to diversity. Building aninclusive culture that draws on the individual strengths of employees fromdifferent ethnic backgrounds, cultures, lifestyles, abilities, and experienceis key to our success.
We are seeking a masters-level Statistical Analyst to joinour vibrant group of over 20 statisticians and data scientists. Thecontributions of our statisticians and statistical analysts underpin ourability to produce crucial evidence for policy and decision makers, ultimatelyfurthering our mission to improve public well-being. For example, ourstatistical analysts have contributed to projects developing COVID-19 decisiontools, extending state-of-the-art methods for identifying treatment effectheterogeneity to enhance primary care delivery, and leveraging Bayesianfactorial design to improve the presentation of school choice information tolow-income parents.
As part of their employment, statistical analysts benefit from thementorship of more senior statisticians and subject-matter experts, learningnew techniques and familiarizing themselves with new topic areas throughinvolvement in analyses.
Responsibilities:
Analysis:
Apply statistical and quantitative methods to evaluate and improve social programs and policies, with the oversight of more senior statisticians. Assist in designing rigorous studies, determining appropriate analytic methods, selecting survey samples, calculating nonresponse adjustments, analyzing survey responses, and interpreting findings.
Programming:
Write programs to perform all stages of quantitative analysis, including: (1) conduct data extraction, cleaning, and manipulation, (2) apply advanced statistical and quantitative techniques appropriate for both survey and administrative data, and (3) develop programs to calculate descriptive statistics, populate tables, and visualize results.
Communication:
Draft sections of reports, including technical appendices, and presentations for colleagues, policymakers and other stakeholders. Communicate findings to internal project teams via memos, presentations, or markdown files.

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