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Statistics Programmer Jobs in Virginia (NOW HIRING)

$63K/yr

OR COMBINATION OF EDUCATION AND EXPERIENCE: at least 24 hours of mathematics and statistics ... Experience in administrative aspects of task engineering and management, e.g., procurement policies ...

$63K/yr

OR COMBINATION OF EDUCATION AND EXPERIENCE: at least 24 hours of mathematics and statistics ... Experience in administrative aspects of task engineering and management, e.g., procurement policies ...

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 ...

SAS Programmer Location: Remote/Hybrid Job Type: Full-Time Position Overview: Venesco is seeking a ... Collaborate with statisticians and data management teams * Support regulatory submissions and ...

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

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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Statistics Programmer information

What is a statistics programmer?

Statistics Programmers are professionals who specialize in writing code to analyze and manage data, often for clinical trials, research studies, or business analytics. They use statistical software like SAS, R, or Python to clean, organize, and interpret data, generating reports and visualizations to support decision-making. Their work is critical in ensuring that data-driven findings are accurate, reproducible, and comply with industry standards. Statistics Programmers often collaborate with statisticians, data managers, and researchers to deliver reliable results. They play a key role in translating complex data into actionable insights.

How do statistics programmers collaborate with biostatisticians and data managers in a clinical research setting?

Statistics Programmers frequently work closely with biostatisticians to understand statistical analysis plans and translate them into efficient programming code, often using SAS or R. They also coordinate with data managers to ensure data integrity, address discrepancies, and maintain consistency in datasets. This collaborative environment requires clear communication and adaptability, as project requirements and timelines can shift based on regulatory demands or study changes. Building strong relationships with these teams helps ensure high-quality deliverables and fosters professional growth.

What are the key skills and qualifications needed to thrive as a statistics programmer?

To thrive as a Statistics Programmer, you need a strong background in statistics, programming (especially SAS or R), and data analysis, typically supported by a degree in statistics, mathematics, or a related field. Proficiency with statistical software such as SAS, R, or Python, and familiarity with clinical data standards like CDISC, are highly valued, and certifications in these tools can be advantageous. Attention to detail, problem-solving skills, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These competencies ensure accurate data analysis, efficient reporting, and compliance with industry standards, which are vital for success in this role.

What is the difference between Statistics Programmer vs Data Analyst?

AspectStatistics ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Mathematics, or related field; programming skillsBachelor's in Statistics, Data Science, or related field; analytical skills
Work EnvironmentClinical trials, research institutions, pharmaceutical companiesBusiness, marketing, finance, healthcare organizations
Employer & Industry UsageUsed in clinical research, biotech, pharmaUsed across various industries for data interpretation

While both roles involve data analysis, Statistics Programmers primarily focus on programming and analyzing data for research or clinical trials, whereas Data Analysts interpret data to inform business decisions. The roles often overlap in skills and tools but differ in application and industry focus.

What are popular job titles related to Statistics Programmer jobs in Virginia?

For Statistics Programmer jobs in Virginia, the most frequently searched job titles are:

What cities in Virginia are hiring for Statistics Programmer jobs?

Cities in Virginia with the most Statistics Programmer job openings:

Infographic showing various Statistics Programmer job openings in Virginia as of August 2026, with employment types broken down into 73% Full Time, 25% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Full-time

Posted 26 days ago


Job description

Freedom Technology Solutions Group is seeking a Lead Statistician. The Lead Statistician will have a proven track record successfully working as the primary statistical expert as part of a collaborative team in a dynamic environment providing statistical analysis and methodology support for Government-originated data analysis studies. The Statistician will develop tactical study plans to answer business questions, perform quantitative research, and provide written summaries of study results.  The Lead Statistician will select and implement statistical analysis appropriate for the problems presented and conduct statistical analyses to derive conclusions. The Lead Statistician will engage with customers and team members on design and methodological issues, evaluate relative advantage of collecting new data versus using extant data, and define statistical design and methodology to meet study needs.

Required Qualifications:

  • Active TS/SCI with the ability to obtain a Poly
  • Master's degree/PhD in Statistics, Mathematics, Physics, or related STEM field and 10 years of experience as a Statistician
  • Experience and success interpreting research requests, developing analysis plans, performing high-level statistical analysis, statistical sampling, and computing required samples sizes.
  • Experience in:
    • Exploratory Data Analysis
    • Sample Size Determination
    • Linear and LogisticRegression
    • Response Modeling
    • Probability Calculations
    • Experimental Design
    • Categorical Data Analysis
    • Statistical Process Control and Process Certification
    • Multivariate Data Analysis
  • Experience working on projects of complex scope where independent judgment is used within a broad range of defined procedures and practices
  • Experience communicating in written documents and providing oral briefings
  • Experience developing new applications and methodologies for existing or newly acquired data, and leading design efforts in selecting statistical methodology
  • Experience with statistical programming software, (e.g. SAS, R, Matlab, Python, etc.)