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Associate Statistical Programmer Jobs in Virginia

Federal Associate Data Scientist 2027

Herndon, VA · On-site

$60K - $61K/yr

As an Associate, you'll have access to industry-recognized certifications, digital badges, and a ... statistical programming languages, such as R, Python, Scala, SAS, SPSS, or Matlab * You have a ...

Associate, Quality Engineer

Culpeper, VA · On-site

$56K - $104K/yr

Associate, Quality Engineer Job Code: 43982 Job Location: Orange, VA Job Schedule: 4/10s: Employees ... Develop and implement quality processes and procedures using statistical quality control statistics ...

CMM Programmer

Hampton, VA · On-site

$65K - $75K/yr

Works with mathematical concepts such as probability and statistical inference, and fundamentals of ... Associate's Degree in a technical field -OR- High School diploma/equivalent with two (2) years ...

Works with mathematical concepts such as probability and statistical inference, and fundamentals of ... Associate's Degree in a technical field -OR- High School diploma/equivalent with two (2) years ...

CMM Programmer

Hampton, VA · On-site

$65K - $75K/yr

Works with mathematical concepts such as probability and statistical inference, and fundamentals of ... Associate's Degree in a technical field -OR- High School diploma/equivalent with two (2) years ...

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Associate Statistical Programmer information

See Virginia salary details

$83.8K

$146K

$246.9K

How much do associate statistical programmer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for associate statistical programmer in Virginia is $146,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,900.00 and $158,600.00 per year, depending on experience, location, and employer.

What is an associate statistical programmer?

An Associate Statistical Programmer is an entry-level professional who assists in the programming and analysis of clinical trial data, primarily within the pharmaceutical or biotechnology industries. They use statistical software, such as SAS or R, to create, validate, and maintain datasets, tables, listings, and figures required for clinical study reports. Their work supports biostatisticians and clinical teams in ensuring data accuracy and regulatory compliance. This role is ideal for those with a background in statistics, mathematics, or computer science, looking to start a career in clinical data analysis.

How does an associate statistical programmer typically collaborate with biostatisticians and data managers in clinical research projects?

As an Associate Statistical Programmer, you will frequently collaborate with biostatisticians to understand statistical analysis plans and translate them into clear programming specifications. You’ll also work closely with data managers to ensure data integrity and resolve any data discrepancies before analysis. Effective communication and teamwork are essential, as you’ll often participate in project meetings, provide programming support, and help deliver high-quality datasets and reports under tight timelines. This collaborative environment is key to ensuring accurate and timely clinical trial results.

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

To thrive as an Associate Statistical Programmer, you need a solid background in statistics, programming (especially SAS or R), and familiarity with clinical trial data, typically supported by a degree in statistics, mathematics, or a related field. Proficiency with statistical software (such as SAS, R, or Python), CDISC standards, and data management tools is essential, and certifications in SAS programming can be advantageous. Attention to detail, strong problem-solving abilities, and effective communication skills help you collaborate with clinical teams and ensure data quality. These skills and qualities are vital for delivering accurate statistical analyses that support regulatory submissions and evidence-based decision-making in clinical research.

What is the difference between Associate Statistical Programmer vs Statistical Programmer?

AspectAssociate Statistical ProgrammerStatistical Programmer
Required CredentialsBachelor's degree in statistics, mathematics, or related field; some roles may require basic programming skillsBachelor's or master's degree; more experience in programming and statistical analysis
Work EnvironmentEntry-level, supporting senior programmers; often in clinical research or pharmaceutical companiesMore independent, handling complex analyses; similar industry settings
Employer & Industry UsageCommon in clinical trials, pharmaceutical, and biotech companiesUsed across similar industries, often as a step up from associate roles

The main difference between an Associate Statistical Programmer and a Statistical Programmer lies in experience and responsibility level. Associate roles are typically entry-level, focusing on supporting tasks under supervision, while Statistical Programmers handle more complex analyses independently. Both roles are vital in clinical research and biotech industries, with the associate position serving as a stepping stone to more advanced programming roles.

What are the most commonly searched types of Statistical Programmer jobs in Virginia?

The most popular types of Statistical Programmer jobs in Virginia are:

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

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

What job categories do people searching Associate Statistical Programmer jobs in Virginia look for?

The top searched job categories for Associate Statistical Programmer jobs in Virginia are:

What cities in Virginia are hiring for Associate Statistical Programmer jobs?

Cities in Virginia with the most Associate Statistical Programmer job openings:

Infographic showing various Associate Statistical Programmer job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $146,028 per year, or $70.2 per hour.

Data Scientist

Fredericksburg, VA • On-site

RecruitTalent LLC.
IT Services • 1 - 10 employees

$60 - $70/hr

Contractor

Re-posted 13 days ago


Job description

General Responsibilities:

  • Design and implement data pipelines, analytics models, and machine-learning solutions to support process automation and predictive decision-making.
  • Collect, clean, and validate structured and unstructured data from multiple enterprise systems, ensuring data quality and integrity.
  • Perform statistical analysis, forecasting, and pattern recognition to identify process improvement opportunities.
  • Develop interactive dashboards and visualizations using tools like Power BI or Tableau for real-time performance tracking.
  • Collaborate with Solution Architects and Business Analysts to integrate data insights into workflow automation and digital solutions.
  • Support the creation and enforcement of data governance, metadata, and access-control frameworks in coordination with cybersecurity policies.
  • Evaluate and deploy AI/ML models (e.g., classification, regression, clustering, NLP) within automation and decision-support platforms.
  • Implement ETL processes and maintain scalable data storage on cloud platforms such as AWS, Azure, or GCP.
  • Provide technical documentation, data dictionaries, and model explainability reports for audit and compliance purposes.
  • Support training and knowledge transfer, enabling end users to interpret and leverage analytical insights.

Minimum Qualifications:

  • Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, or related discipline.
  • Experience:
    • 5–8 years of experience in data analytics, machine learning, or AI model deployment.
    • Proven success designing analytical solutions for IT modernization, automation, or enterprise transformation projects.
    • Experience working with large, complex datasets and applying data-driven methods to improve business or operational performance.

Technical Expertise:

  • Programming & Analysis: Python, R, SQL, Power Query, or PySpark.
  • Machine Learning & AI: scikit-learn, TensorFlow, Keras, or PyTorch.
  • Data Visualization: Power BI, Tableau, Matplotlib, or Plotly.
  • Data Engineering: ETL tools, APIs, REST services, and cloud data storage (AWS S3, Azure Data Lake, GCP BigQuery).
  • Statistics & Modeling: Regression, time-series forecasting, clustering, and anomaly detection.
  • Governance & Security: Familiarity with NIST data-handling standards, FedRAMP compliance, and secure data pipelines.

Preferred Certifications:

  • Microsoft Certified: Data Scientist Associate or Azure AI Engineer
  • Google Professional Data Engineer or AWS Certified Data Analytics – Specialty
  • Certified Analytics Professional (CAP) – INFORMS
  • Lean Six Sigma Green Belt (for data-driven process improvement)
  • Power BI Data Analyst Associate