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Assistant Stata Jobs in Virginia (NOW HIRING)

Main Responsibilities: * Assist with drafting survey instruments and proposed research designs ... Prior experience with statistical software like R, SPSS, or STATA a plus * Proficiency with ...

Main Responsibilities: * Assist with drafting survey instruments and proposed research designs ... Prior experience with statistical software like R, SPSS, or STATA a plus * Proficiency with ...

... review. Assist customers with model validations. BASIC QUALIFICATIONS Master's degree in ... Stata a plus). Expertise in econometric models, including regression analysis, time series ...

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Assistant Stata information

What is an assistant Stata?

An Assistant Stata is a professional who supports data analysis and management tasks using Stata, a powerful statistical software. They typically assist researchers, analysts, or economists by cleaning datasets, running statistical models, and generating reports. Their role may also include helping with data import/export, troubleshooting errors, and ensuring the integrity of statistical results. Assistant Statas are often found in academic, government, or business settings where quantitative research is conducted.

What are the key skills and qualifications needed to thrive as an assistant Stata?

To thrive as an Assistant Statistician, you need a solid background in mathematics, statistical analysis, and a relevant degree such as statistics, mathematics, or economics. Familiarity with statistical software like Stata, SPSS, or R, as well as proficiency in data management tools, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help convey complex data insights clearly. These competencies are essential for producing accurate analyses that inform decision-making and support organizational goals.

How does an assistant Stata typically collaborate with research teams in an academic or business setting?

An Assistant Stata often works closely with researchers, analysts, or faculty to manage, clean, and analyze data using Stata software. This role involves frequent communication to clarify research objectives, troubleshoot data issues, and ensure the appropriate application of statistical methods. Collaboration may also include preparing data documentation, sharing code, and presenting preliminary findings to the team. Being proactive and detail-oriented helps in maintaining smooth workflow and supporting the overall success of research projects.

What is the difference between Assistant Stata vs Data Analyst?

AspectAssistant StataData Analyst
Required CredentialsBasic knowledge of Stata, often an entry-level positionBachelor's degree in statistics, data science, or related field
Work EnvironmentResearch projects, data cleaning, and preliminary analysisData interpretation, reporting, and decision support
Employer & Industry UsageAcademic, research institutions, government agenciesBusiness, finance, healthcare, marketing

Assistant Stata roles typically focus on data cleaning and basic analysis using Stata, often requiring minimal formal credentials. Data Analysts have broader responsibilities, including interpreting data, creating reports, and making recommendations, often with a relevant degree. While both roles work with data, Data Analysts usually have more advanced skills and responsibilities.

What are the most commonly searched types of Stata jobs in Virginia? The most popular types of Stata jobs in Virginia are:
What cities in Virginia are hiring for Assistant Stata jobs? Cities in Virginia with the most Assistant Stata job openings:

Research Specialist Intermediate

University of Virginia

Charlottesville, VA • On-site

$88K/yr

Full-time

Posted 26 days ago


University Of Virginia rating

7.9

Company rating: 7.9 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

205th of 614 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