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Will AI replace statistician?

AI is unlikely to fully replace statisticians, as their role involves complex data analysis, interpretation, and decision-making that require human judgment. Statisticians also develop models, validate results, and communicate findings, skills that complement AI tools. Proficiency in statistical software and understanding of domain knowledge remain essential for the profession.

What is the salary of a statistician researcher?

The salary of a statistician researcher typically ranges from $60,000 to $110,000 annually, depending on experience, education, and location. Entry-level positions may start lower, while experienced professionals with advanced skills in statistical software and research methods can earn higher salaries.

Is statistician a high paying job?

Statisticians typically earn higher-than-average salaries due to their specialized skills in data analysis, modeling, and statistical software. The median annual wage in many regions exceeds the national average, especially for those with advanced degrees or experience in research environments.

What does a statistician do in research?

A statistician in research analyzes data to identify patterns, trends, and relationships, helping to inform decision-making and conclusions. They design experiments, develop models, and use statistical software to interpret complex data sets, often working closely with researchers to ensure accurate results.
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Infographic showing various Statistician In Research job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 1% Temporary, and 4% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.
Research Specialist Intermediate

Research Specialist Intermediate

University of Virginia

Charlottesville, VA • On-site

$88K/yr

Full-time

Posted 3 days ago

New

University Of Virginia rating

7.9

Company rating: 7.9 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

179th of 553 rated colleges and universities

Job description

University of Virginia: Research Specialist Intermediate - Charlottesville, VA
DUTIES:
  • Play a key role in advancing cancer-related population health research within the Population Health and Cancer Outcomes Core (PHCOC).
  • Support the Core Director and Lead Statistician in producing analytical reports on cancer incidence, mortality, treatment patterns and outcomes using large scale state and national databases to inform clinical practice, population health strategy and public health policy.
  • Responsible for full data lifecycle - from data acquisition and preprocessing to statistical modeling, visualization and reporting of results.
  • Teach and share analytical knowledge and best practices with the broader university research community.
  • Extract and clean data from large-scale cancer-related administrative and clinical databases, including SEER-Medicare, state cancer registries, the Virginia All-Payer Claims Database (APCD), and Electronic Health Record (EHR) data.
  • Generate analytical patient cohorts using SQL in virtual machine and cloud computing environments.
  • Conduct advanced statistical analyses, including linear and logistic regression, survival analysis, Cox proportional hazards modeling, propensity score matching, Blinder-Oaxaca decomposition, longitudinal data analysis, and econometric modeling to examine cancer outcomes and disparities in cancer care.
  • Utilize statistical software packages such as SAS, Stata, R, and Python to perform data analysis.
  • Apply machine learning and artificial intelligence tools to identify predictive factors and optimize analytic performance.
  • Assist in the preparation of administrative and compliance documents required for database access and data use agreements.
  • Perform geospatial analyses to assess geographic variation in cancer burden, healthcare access, and outcomes, using tools such as ArcGIS.
  • Create data visualizations, dashboards, and infographics to communicate findings, using tools such as Tableau, Canva, Lucidchart, and Microsoft PowerPoint.
  • Prepare publication-ready written and graphical outputs for manuscripts, reports, and conference presentations.
  • Collaborate with faculty, clinicians, and researchers to interpret statistical findings and translate analytical results into actionable insights for research and policy.
  • Contribute to the development and implementation of standardized analytic workflows and reproducible data pipelines for quality assurance and reproducibility.
  • Lead teaching workshops throughout the year to train students and staff in working with healthcare claims and population datasets.

REQUIREMENTS: Bachelor's degree in statistics, biostatistics, data science, economics, public policy or a closely related quantitative field along with a minimum of 3 years of relevant quantitative data modelling experience. OR Master's degree in statistics, biostatistics, data science, economics, public policy or a closely related quantitative field will be accepted in lieu of experience.
Qualified candidate must demonstrate knowledge of:
  • Data management, data cleaning, and preprocessing to conduct rigorous statistical analysis and interpretation
  • Advanced statistical methodologies, including linear and logistic regression, longitudinal data analysis, and econometric modeling
  • Statistical programming for large datasets using software such as SAS, Stata, R, and Python
  • Extracting and querying large-scale datasets using SQL in both local and cloud environments
  • Applied machine learning and artificial intelligence tools to identify predictive factors and improve analytic performance
  • Batch processing and data science workflows for efficient handling of largescale datasets
  • Working with community-level and population-based data sources, including the American Community Survey (ACS)
  • Working within virtual machine and cloud-based environments for data processing and analysis
  • Spatial data analysis using ArcGIS or related GIS tools
  • Creating data visualizations, dashboards, and infographics using software such as Tableau, R, or Python
  • Developing standardized analytical workflows, reproducible data pipelines, technical documentation and using version control tools such as Git
  • Managing multiple projects simultaneously, prioritizing tasks efficiently, and tracking progress
  • Teaching lectures or workshops focused on data programming and analytics

Knowledge may be gained through education, training and/or experience.
SALARY: $88,899.00 per year
LOCATION: 560 Ray C. Hunt Drive, Charlottesville, VA 22903
How to Apply
Please apply online through Online and search for R0084729. Complete the application and upload the following required materials:
Internal applicants may search and apply for jobs on the UVA Internal Careers website .
  • Cover letter
  • Resume

Reference Check Process
Reference checks will be completed via SkillSurvey. Five references will be requested, with a minimum of three responses required.
Contact
For questions about this position, please contact the recruiter Bill Crane at Xer5ff@virginia.edu
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment .

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About University of Virginia

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The University of Virginia is distinctive among institutions of higher education. Founded by Thomas Jefferson in 1819, the University sustains the ideal of developing, through education, leaders who are well-prepared to shape the future of the nation.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Charlottesville, VA, US

Year founded

1819

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