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Entry Level Statistical Programmer Jobs in Virginia

Overview Targeted Victory is looking for an entry-level engineer to join our AI Development team to ... AI/ML development, computer science, data science, statistics * Proficient in SQL and Python

Overview Targeted Victory is looking for an entry-level engineer to join our AI Development team to ... AI/ML development, computer science, data science, statistics * Proficient in SQL and Python

Understanding of probability and statistics is required, experience with control systems is desired ... This is not an entry level position and real-world experience is required. While this role is not ...

Understanding of probability and statistics is required, experience with control systems is desired ... This is not an entry level position and real-world experience is required. While this role is not ...

Perform routine geotechnical engineering functions and provide entry-level technical assistance on ... location data, statistical documentation, engineering studies and surveys, and construction.

Perform routine geotechnical engineering functions and provide entry-level technical assistance on ... location data, statistical documentation, engineering studies and surveys, and construction.

Perform routine geotechnical engineering functions and provide entry-level technical assistance on ... location data, statistical documentation, engineering studies and surveys, and construction.

... Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... engineering systems. They handle construction, maintenance, and technical operations to ensure ... Entry-level position typically requiring little to no prior experience. Work is routine and ...

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Entry Level Statistical Programmer information

See Virginia salary details

$83.8K

$146K

$246.9K

How much do entry level statistical programmer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for entry level 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 the difference between Entry Level Statistical Programmer vs Data Analyst?

AspectEntry Level Statistical ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Biostatistics, or related field; basic programming skills (SAS, R)Bachelor's in Statistics, Data Science, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentPharmaceutical or clinical research settings; focus on data processing and programmingVarious industries including finance, marketing, healthcare; focus on data interpretation and reporting
Employer & Industry UsagePharmaceutical companies, CROs, biotech firmsCorporations, consulting firms, healthcare organizations

While both roles involve working with data, Entry Level Statistical Programmers primarily focus on programming and data management within clinical or research settings, whereas Data Analysts interpret data to inform business decisions across various industries.

What is SAS developer salary?

SAS developers, including entry-level statistical programmers, typically earn between $60,000 and $85,000 annually, depending on experience, location, and industry. Proficiency in SAS software, data analysis, and programming skills can influence salary levels for this role.

What does an Entry Level Statistical Programmer do?

An Entry Level Statistical Programmer assists in analyzing data using statistical software, such as SAS or R, primarily in industries like pharmaceuticals, healthcare, or research. They are responsible for coding, cleaning, and organizing datasets, generating tables, listings, and figures, and ensuring data accuracy. These programmers work closely with statisticians and data managers to support clinical trials or research projects. The role serves as a foundation for more advanced programming and data analysis positions.

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

To thrive as an Entry Level Statistical Programmer, you need a solid understanding of statistics, programming (especially in SAS, R, or Python), and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with data analysis tools, statistical software (like SAS or R), and version control systems is typically required, and SAS certification can be an advantage. Attention to detail, problem-solving ability, and effective communication are valuable soft skills for this role. These skills and qualities are crucial for accurate data analysis, efficient collaboration, and producing reliable results in data-driven environments.

Will AI replace SAS programmers?

Entry level statistical programmers using SAS perform tasks such as data management, analysis, and reporting that require domain knowledge and programming skills. While AI tools can assist with automating repetitive tasks, they are unlikely to fully replace SAS programmers in complex analysis, interpretation, and validation roles that require critical thinking and expertise. Developing skills in programming, data management, and understanding statistical methods remains valuable in the evolving job market.

Are SAS programmers in demand?

SAS programmers, including entry-level statistical programmers, are in steady demand in industries such as pharmaceuticals, healthcare, and research, where data analysis and regulatory compliance are critical. Proficiency in SAS, along with knowledge of statistical methods and data management, enhances job prospects as organizations seek skilled professionals to handle large datasets and support clinical trials. Demand for SAS skills remains strong due to its widespread use in regulated environments and ongoing need for data analysis expertise.

Is SAS in high demand?

SAS is a widely used statistical software in industries such as healthcare, finance, and pharmaceuticals, making skills in SAS highly sought after for entry-level statistical programmer roles. The demand for SAS programmers remains strong due to its extensive use in data analysis, regulatory compliance, and clinical trials, though some organizations are also adopting open-source tools like R and Python. Proficiency in SAS can improve job prospects and salary potential in data-focused roles.

What are some common challenges faced by entry level statistical programmers when transitioning from academic projects to real-world clinical trial data?

Entry level statistical programmers often find the transition to industry challenging due to the complexity of real-world clinical trial data, strict regulatory requirements, and the need to adhere to standardized processes like CDISC. Unlike academic projects, the work environment emphasizes collaboration with statisticians, data managers, and clinical teams, making communication and teamwork vital. Additionally, maintaining high-quality documentation and learning to use industry-specific tools and programming standards are crucial for success. Seeking mentorship and being proactive in learning these processes can help new programmers adapt more quickly.
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 Entry Level Statistical Programmer jobs in Virginia? For Entry Level Statistical Programmer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Entry Level Statistical Programmer jobs in Virginia look for? The top searched job categories for Entry Level Statistical Programmer jobs in Virginia are:
Junior AI Engineer

Junior AI Engineer

Targeted Victory

Arlington, VA โ€ข Hybrid

Other

Posted 10 days ago


Job description

About Us

Targeted Victory is a full-service marketing agency providing optimized outcomes in the digital age. We are made up of fresh thinking, curious minded, supportive, and team oriented individuals. Our clients, including national political and international decision makers, count on our team of top strategists to provide comprehensive solutions and strategic counsel on public affairs, advertising, media planning, fundraising and reputation management.

We have collectively raised our clients more than $1.95 billion in online fundraising, managed over $395 million in digital advertising, delivered over 24 billion emails and 7.5 billion text messages, and have sold and fulfilled over 3.5 million units of merchandise.

Targeted Victory is the proud recipient of the Washington Post Top Workplaces for 2025, 2023, and 2022, Reed Award for Best Employer in 2022, and the Campaign Tech Award for Best Employer in 2021.

Overview

Targeted Victory is looking for an entry-level engineer to join our AI Development team to help us remain on the cutting edge. This role is suited to individuals who enjoy working on complex problems, are creative thinkers, and thrive in a flat hierarchy. This position is based in Arlington, VA and will report to one of the team's experienced AI engineers, with direct mentorship from the company's tech leadership.

Responsibilities
  • Implement, maintain, and optimize core data pipelines
  • Identify new opportunities to use AI/ML technology to improve client fundraising and internal company efficiency
  • Become proficient in Targeted Victory's data systems and workflows
  • Work across teams to track performance, test strategies, and provide strategic insights that aid informed decision making and grow the company's analytical reach
  • Work on critical AI and non-AI ad hoc data projects as necessary
  • Handle multiple projects at once while meeting deadlines and performance expectations
  • Think outside the box and experiment with new approaches to political and fundraising data
Qualifications
  • Bachelor's degree preferred
  • 1-2+ years of relevant experience, including but not limited to: AI/ML development, computer science, data science, statistics
  • Proficient in SQL and Python
  • Familiarity with Snowflake, Databricks, LLM-based app development, RAG, multi-model routing, CI/CD pipelines, and/or building agentic workflows is a plus
  • Team player with a no-task-too small approach to the role
  • Willing to learn new skills
  • High attention to detail and organizationย 
  • Self-starter with a proactive, collaborative work ethic
  • Able to thrive in a fast-paced environment
  • Exhibits professionalism, particularly in executive and external communications
Employment Type: OTHER