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Statistical Programmer Jobs in Charlottesville, VA

Nalley Consulting

Data Engineer - Sr

Charlottesville, VA · On-site

$109K - $131K/yr

Data Engineer LCAT: Senior Location: Charlottesville, VA Required clearance: TS/SCI and current CI ... Performing statistical analysis, applies data mining techniques, and builds high quality prediction ...

Nalley Consulting

Data Engineer - Sr

Charlottesville, VA · On-site

$109K - $131K/yr

Data Engineer LCAT: Senior Location: Charlottesville, VA Required clearance: TS/SCI and current CI ... Performing statistical analysis, applies data mining techniques, and builds high quality prediction ...

General Atomics

Data Scientist III

Charlottesville, VA · On-site

$98K - $171K/yr

Translate operational gaps into tractable statistical problems * Partner with software engineers to transition algorithms from prototype to production Research Leadership: * Publish internal research ...

General Atomics

Data Scientist III

Charlottesville, VA · On-site

Translate operational gaps into tractable statistical problems * Partner with software engineers to transition algorithms from prototype to production Research Leadership: * Publish internal research ...

NALLEY CONSULTING

Data Engineer - Sr

Charlottesville, VA · On-site

$107K - $128K/yr

Responsibilities : • Conducting data analytics, data engineering, data mining, exploratory analysis, predicative analysis, and statistical analysis, and uses scientific techniques to correlate data ...

General Atomics

Data Scientist III

Charlottesville, VA · On-site

$98K - $171K/yr

Strong foundation in probability and statistics, stochastic processes, estimation theory, optimization, and linear algebra. * Programming experience in one or more languages such as Python, C++, Java ...

The Lycra Company LLC

Research Engineer

Waynesboro, VA · On-site

$104K - $118K/yr

Research Engineer Location: Waynesboro, VA Come and be a part of a best-in-class global R&D team ... Strong background in statistical design of experiments and analysis of data from lab/semiworks ...

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All JobsStatistical Programmer JobsStatistical Programmer Jobs in Charlottesville, VA

Statistical Programmer information

See Charlottesville, VA salary details

$83.8K

$146.1K

$247K

How much do statistical programmer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for statistical programmer in Charlottesville, VA is $146,122.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,000.00 and $158,700.00 per year, depending on experience, location, and employer.

What is a statistical programmer?

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.

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.

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 popular job titles related to Statistical Programmer jobs in Charlottesville, VA? For Statistical Programmer jobs in Charlottesville, VA, the most frequently searched job titles are:
What cities near Charlottesville, VA are hiring for Statistical Programmer jobs? Cities near Charlottesville, VA with the most Statistical Programmer job openings:
Statistical Programmer jobs near you
Infographic showing various Statistical Programmer job openings in Charlottesville, VA as of July 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $146,122 per year, or $70.3 per hour.

Research Statistician - Tracking and Estimation Theory with Security Clearance

GA Intelligence

Charlottesville, VA • On-site

Other

Re-posted 3 days ago

Job description

Are you a statistician who wants to see your Bayesian models protect national security? GA-Intelligence is seeking a Statistics PhD to develop tracking algorithms that process data from heterogeneous sensors, fuse tracks across domains, and enable time-critical intelligence decisions. You'll apply statistical inference, state-space modeling, and Monte Carlo methods to multi-target tracking challenges that combine mathematical rigor with operational constraints. Your work will span algorithm research, operational analysis, and production deployment—from deriving novel filters to validating performance on classified sensor data to partnering with engineers who implement your algorithms at scale.
 
DUTIES AND RESPONSIBILITIES: 
Algorithm Research and Development: * Guide the development of state-of-the-art tracking algorithms from existing tracking literature, ensuring technical correctness.
* Develop statistical approaches to data association in multi-target, multi-sensor environments
* Derive probabilistic models for target behavior and sensor measurement processes
* Prototype algorithms in Python, MATLAB, or R and validate performance through Monte Carlo simulation
* Apply modern statistical and computational methods to emerging tracking challenges
Operational Impact: * Collaborate with intelligence analysts to understand tracking requirements and operational constraints
* Analyze tracking performance on real-world sensor data from classified systems
* Quantify and communicate uncertainty, assumptions, and limitations to support operational decision-making
* Translate operational gaps into tractable statistical problems
* Partner with software engineers to transition algorithms from prototype to production
Research Leadership: * Publish internal research on tracking advances and algorithmic innovations
* Present findings to technical staff, program managers, and government decision-makers, as well as external conferences
* Contribute to proposal development and help shape future research directions
* Mentor junior team members and future hires
* Stay current with tracking research literature and evaluate applicability to operational problemsWe recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.

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