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Statistical Programmer Jobs in Reston, VA (NOW HIRING)

Minimum of 3-5 years of experience in a CRO environment Demonstrated proficiency with statistical methods and applications in clinical research Strong programming skills in SAS and/or R. Ability to ...

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

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

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

The Vice President, Biometrics, oversees internal and external teams across biostatistics, data management, and statistical programming, and serves as a key partner in shaping cross-functional ...

The Vice President, Biometrics, oversees internal and external teams across biostatistics, data management, and statistical programming, and serves as a key partner in shaping cross-functional ...

Computer Programmer III About CICONIX: CICONIX LLC is a Veteran Owned Small Business specializing ... Collaborate with statisticians, epidemiologists, and data analysts to ensure data accuracy and ...

Computer Programmer III About CICONIX: CICONIX LLC is a Veteran Owned Small Business specializing ... Collaborate with statisticians, epidemiologists, and data analysts to ensure data accuracy and ...

Computer Programmer III About CICONIX: CICONIX LLC is a Veteran Owned Small Business specializing ... Collaborate with statisticians, epidemiologists, and data analysts to ensure data accuracy and ...

Description Computer Programmer III About CICONIX: CICONIX LLC is a Veteran Owned Small Business ... Collaborate with statisticians, epidemiologists, and data analysts to ensure data accuracy and ...

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Statistical Programmer information

See Reston, VA salary details

$87.9K

$153.2K

$259K

How much do statistical programmer jobs pay per year?

As of May 29, 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 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 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 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.

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.

Is SAS a good career choice?

A career as a Statistical Programmer using SAS is in demand in industries such as pharmaceuticals, healthcare, and research, where data analysis and reporting are essential. Proficiency in SAS, along with knowledge of programming and statistical methods, can lead to stable employment and opportunities for advancement.

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.

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:
ENERGY AND WATER STATISTICIAN with Security Clearance

ENERGY AND WATER STATISTICIAN with Security Clearance

Concurrent Technologies Corporation

Arlington, VA

Other

Posted 8 days ago


Job description

ENERGY AND WATER STATISTICIAN
Concurrent Technologies Corporation
Crystal City, VA Minimum Clearance Required: N/A
Clearance Level Must Be Able to Obtain: Secret
Employee Background Check Required As a trusted partner and leader in providing energy and sustainability consulting services to the federal government, Concurrent Technologies Corporation (CTC) understands the increasing complexity of achieving energy security and data management in a changing world. As part of the Energy, Resilience and Sustainability (ERS) Division, you will collaborate with experts to provide comprehensive policy, planning, and implementation services to deliver solutions that address critical infrastructure resilience and security, and data management issues and support the military mission, while reducing environmental impacts. We take our role seriously, as our efforts ensure our installations and assets are prepared in any operating environment, present and future. CTC is seeking a highly motivated and qualified statistician with experience in energy and water resources and data center infrastructure planning. This mid-career role offers the opportunity to unify disparate water, energy, environmental, and mission support information into a single, structured analytical model designed specifically for data center siting. The position blends hands-on technical analysis, risk assessment, and client-facing activities. In this role, you will focus on developing a scalable, statistically driven risk assessment framework that prioritizes water and energy resource impact assessment and installation risk tolerance assessments to support the Department of the Air Force (DAF) in resilient data center siting. This is a hybrid position located in the Washington, D.C. area, with the flexibility to work from home while participating in some in-person client and team discussions at or near our Crystal City office. Candidates must be in the Washington, DC area or willing to relocate. Recurring in-office work may be required (e.g., every Monday) at client direction. This role provides a unique opportunity to develop expertise at the intersection of water and energy system operations, facility resilience, and mission assurance—key areas for ensuring the security and sustainability of government and defense infrastructure. Key Responsibilities:
• Statistical Model Development: Develop and apply statistically rigorous models to assess water and energy risks, define analytical parameters, and generate defensible, data-driven insights for data center prioritization at DAF installations.
• Data Transformation & Analysis: Translate raw datasets (internal and external) into standardized, machine-readable parameters suitable for statistical modeling. Develop and document data transformation processes and analytical functions.
• Risk Assessment: Analyze technical utility frameworks, energy and water supply technology capabilities, and data center requirements. Quantify installation-specific risks and resilience metrics.
• Tool Integration & Verification: Integrate statistical models into the project’s assessment tool. Conduct iterative testing and verification to ensure accuracy, repeatability, and defensibility of outputs.
• Stakeholder Engagement: Collaborate with project leads, data engineers, research analysts, and government stakeholders to define model requirements, validate assumptions, and refine analytical approaches.
• Documentation & Reporting: Prepare technical documentation, user guidance, and verification reports for model parameters, transformation logic, and tool outputs. Basic Qualifications:
• Master’s degree or higher in Statistics, Applied Mathematics, Data Science, or a related quantitative field.
• Minimum six (6) years of professional experience in statistical analysis, predictive modeling, or quantitative research
• Demonstrated experience in statistical analysis, predictive modeling, and hypothesis testing.
• Proficiency in statistical programming languages (e.g., R, Python, SAS) and data visualization tools.
• Experience translating complex quantitative results into actionable recommendations for technical and non-technical audiences.
• Familiarity with infrastructure risk assessment, water/energy systems, or resilience engineering is highly desirable.
• Strong documentation and communication skills.
• Ability to obtain and maintain a SECRET security clearance. Preferred Qualifications:
• Experience with federal or DoD infrastructure, energy, or water resource projects.
• Knowledge of big-data architectures, AI/ML readiness, and integration with enterprise data systems.
• Experience working in multidisciplinary teams and engaging with government stakeholders. Why CTC?
• Our teams at CTC are passionate and thrive on collaboration in a team environment
• When we encounter a difficult problem, we have a variety of talented and diverse employees that work together to solve the toughest challenges
• Competitive salary and benefits package
• Although our work at CTC is extremely important, we also recognize the need for our employees to maintain a proper mix of work and personal life
• Visit www.ctc.com to learn more Join us! CTC offers exceptional career growth, cutting edge technology, educational opportunities, and recognition for quality work. https://concurrent-technologies-corporation.breezy.hr/
Email:
Staffing Requisition: SR#2026-0042 “We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law.”