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Statistical Assistant Jobs in Virginia (NOW HIRING)

Web Business Solutions Inc.

Research Assistant

Quantico, VA · On-site

$20.75 - $28.50/hr

Job purpose The Research Assistant gathers, organizes, validates, and analyzes research information; supports literature reviews, proposals, instruments, statistical analysis, reports, visual ...

Nutex Health

Lab Assistant

Alexandria, VA · On-site

The Lab Assistant will work under general supervision, assisting in accessing and preparing ... Process STAT and Emergency Department (ED) samples within the designated turnaround time.

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Showing results 21-40

All JobsStatistical JobsStatistical Assistant JobsStatistical Assistant Jobs in Virginia

Statistical Assistant information

See Virginia salary details

$36.2K

$54.9K

$98.2K

How much do statistical assistant jobs pay per year?

As of Sep 4, 2026, the average yearly pay for statistical assistant in Virginia is $54,875.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,600.00 and $59,500.00 per year, depending on experience, location, and employer.

What is a statistical assistant?

Statistical Assistants are professionals who support statisticians and other researchers by collecting, processing, and analyzing data. They often use statistical software to organize data, check for accuracy, and create tables or reports. These assistants play a crucial role in ensuring data integrity and supporting research projects across various industries, including government, healthcare, and business. Their work helps organizations make informed decisions based on accurate and reliable data.

What does a statistical assistant do?

As a statistical assistant, you assist a statistician in all duties related to collecting, processing, analyzing, and presenting data. Your responsibilities also include keeping a schedule, word processing, and data entry into computer software that utilizes statistical formulas. In some positions, you administer surveys, work with focus groups, and keep records of all collected data. You then select statistical tests to use in your data analysis and process the data in software programs. Other duties include compiling reports, charts, and graphs as needed, making presentations to your clients, and maintaining accurate databases of statistical information. Your job also requires you to write clerical procedures and specifications, resolve computer rejects, and recommend changes to the procedures.

What are the key skills and qualifications needed to thrive as a statistical assistant, and why are they important?

To thrive as a Statistical Assistant, you need a strong foundation in mathematics, statistics, and data analysis, typically supported by an associate's or bachelor's degree in a related field. Proficiency in statistical software such as SPSS, SAS, or Excel, along with familiarity with data management systems, is commonly required. Attention to detail, organizational skills, and effective communication are crucial soft skills for this role. These abilities ensure accurate data collection, analysis, and reporting, which are essential for supporting sound decision-making within organizations.

What are some common challenges statistical assistants face when managing large datasets, and how can they overcome them?

Statistical Assistants often encounter challenges such as data inconsistencies, missing values, and complex file formats when handling large datasets. To overcome these issues, it's important to develop strong data cleaning skills and familiarity with statistical software like Excel, SAS, or SPSS. Collaborating closely with statisticians and data analysts can also help ensure data quality and accuracy. Regular training and staying updated on best practices in data management are essential for effectively addressing these challenges.

What is the difference between Statistical Assistant vs Data Analyst?

AspectStatistical AssistantData Analyst
Required CredentialsTypically an associate's or bachelor's degree in statistics, mathematics, or related fieldBachelor's degree often in statistics, mathematics, computer science, or related field; some roles prefer a master's
Work EnvironmentGovernment agencies, research institutions, healthcare, and academic settingsBusiness, finance, healthcare, technology, and marketing sectors
Employer & Industry UsageUsed mainly in research, government, and academic sectors for data collection and basic analysisCommon in corporate settings for data interpretation, reporting, and decision-making

While both roles involve working with data, Statistical Assistants focus on data collection, entry, and basic analysis primarily in research and government settings. Data Analysts typically perform more advanced analysis, data visualization, and reporting in business environments. The roles share similar educational backgrounds but differ in scope and industry application.

What degree do I need to be a statistical assistant?

A statistical assistant typically needs at least a bachelor's degree in statistics, mathematics, data science, or a related field. Strong analytical skills and proficiency with statistical software like SPSS or R are also important for the role.

What skills are needed to be a statistical assistant?

A statistical assistant needs strong analytical skills, proficiency in statistical software such as SPSS, SAS, or R, and a solid understanding of statistical methods. Attention to detail, good communication skills, and the ability to interpret data accurately are also important for the role.
More about Statistical Assistant jobs

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

The most popular types of Statistical jobs in Virginia are:

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Cities in Virginia with the most Statistical Assistant job openings:

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Statistical Assistant jobs near you
Infographic showing various Statistical Assistant job openings in Virginia as of August 2026, with employment types broken down into 2% As Needed, 69% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $54,875 per year, or $26.4 per hour.

Data Scientist (Statistician) - Direct Hire

Criminal Investigation & Law Enforcement | IRS Careers

Charlottesville, VA • On-site

$125K/yr

Full-time

Posted 7 days ago

Internal Revenue Service rating

7.4

Company rating: 7.4 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

159th of 297 rated public sector bodies

Job description

WHAT IS LARGE BUSINESS AND INTERNATIONALDIVISION?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position is to be filled in the following area(s):
    • LBI - ADCCI - Assistant Deputy Commissioner Compliance Integration.


REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILS

Qualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
BASIC REQUIREMENTS (IOR) ALL GRADES:
EDUCATION: A degree that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: Combination of education and experience includes courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.
AND
SPECIALIZED EXPERIENCE GS-14: In addition to meeting basic requirements, to be eligible for this position at this grade level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service.
Specialized experience for this position includes:
  • Experience identifying and assessing the validity and reliability of relevant data sources and retrieving structured and unstructured data in multiple types and formats, including Extensible Markup Language (XML) files and large datasets, for use in data science projects.
  • Experience cleaning, transforming, combining, and integrating structured and unstructured data from multiple sources, including identifying and resolving missing values, outliers, and duplicate records, to prepare data for analysis.
  • Experience applying data-mining process models, including the Cross-Industry Standard Process for Data Mining (CRISP-DM) or Sample, Explore, Modify, Model, Assess (SEMMA), to collect, prepare, analyze, and evaluate data during data science projects.
  • Experience applying statistical methods, probability, statistical inference, hypothesis testing, experimental design, forecasting, and sampling methods to analyze data, evaluate results, and support program or business decisions.
  • Experience developing and evaluating analytical and artificial intelligence models using machine learning, text analytics, natural language processing, large language models, graph theory, link analysis, optimization models, complex adaptive systems, or deep-learning neural networks.
  • Experience using programming languages, query languages, data-intelligence platforms, and data-storage technologies, including R, Python, Structured Query Language (SQL), Java, Databricks, Sybase, Oracle, or open-source databases, to retrieve, process, query, analyze, and integrate data during data science projects.
  • Experience planning, coordinating, monitoring, and evaluating data science projects; reviewing technical deliverables for validity and reliability; and communicating analytical findings, model results, limitations, conclusions, and recommendations to technical and nontechnical stakeholders through written products, presentations, graphs, tables, charts, or business-intelligence products.

AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education

For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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