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Assistant R Statistical Programmer Jobs in Charlotte, NC

Sr. Process Engineer

Charlotte, NC · On-site

$84K - $116K/yr

... statistical tools (e.g. pareto, regression, time charting, analysis of variance, gauge R&R, etc ... Ability to apply knowledge of engineering principles and practices to effectively accomplish ...

Sr. Process Engineer

Charlotte, NC · On-site

$84K - $116K/yr

... statistical tools (e.g. pareto, regression, time charting, analysis of variance, gauge R&R, etc ... Ability to apply knowledge of engineering principles and practices to effectively accomplish ...

Sr. Process Engineer

Charlotte, NC · On-site

$84K - $116K/yr

... statistical tools (e.g. pareto, regression, time charting, analysis of variance, gauge R&R, etc ... Ability to apply knowledge of engineering principles and practices to effectively accomplish ...

BI Reports Developer

Charlotte, NC · Remote

$80K - $95K/hr

... into technical specifications Assist in analyzing data to identify trends, anomalies, and ... such as Python or R for data manipulation Familiarity with cloud-based BI solutions (e.g ...

Senior Quality Analyst / Engineer

Iron Station, NC · On-site

$80K - $109K/yr

Senior Quality Engineer responsible for driving product and process quality improvements across ... Proficient in statistical tools and software (Minitab, JMP, Python/R for analytics, or equivalent)

Senior Quality Engineer responsible for driving product and process quality improvements across ... Proficient in statistical tools and software (Minitab, JMP, Python/R for analytics, or equivalent)

Showing results 41-60

Assistant R Statistical Programmer information

See Charlotte, NC salary details

$82.5K

$143.9K

$243.2K

How much do assistant r statistical programmer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for assistant r statistical programmer in Charlotte, NC is $143,862.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,100.00 and $156,300.00 per year, depending on experience, location, and employer.

What is the difference between Assistant R Statistical Programmer vs Data Analyst?

AspectAssistant R Statistical ProgrammerData Analyst
Required SkillsProficiency in R, basic statistical knowledge, programming skillsData manipulation, visualization, statistical analysis, often using R or Excel
Work EnvironmentClinical research, pharmaceutical, or biotech industriesBusiness, marketing, finance, healthcare sectors
CertificationsOften requires a degree in statistics, biostatistics, or related fieldsDegree in statistics, data science, or related fields; certifications like CAP or Microsoft certifications are common

While both roles involve data analysis and programming skills, the Assistant R Statistical Programmer primarily supports clinical trials and pharmaceutical research, focusing on statistical programming in R. Data Analysts work across various industries analyzing data to inform business decisions. The roles share similar educational backgrounds but differ in industry focus and specific job functions.

Are Assistant R Statistical Programmers in demand?

Assistant R Statistical Programmers are in demand due to the growing need for data analysis and statistical programming in industries like healthcare, finance, and research. Proficiency in R, along with knowledge of clinical trial processes and statistical methods, enhances job prospects in this field.

What are popular job titles related to Assistant R Statistical Programmer jobs in Charlotte, NC?

For Assistant R Statistical Programmer jobs in Charlotte, NC, the most frequently searched job titles are:

What job categories do people searching Assistant R Statistical Programmer jobs in Charlotte, NC look for?

The top searched job categories for Assistant R Statistical Programmer jobs in Charlotte, NC are:

What cities near Charlotte, NC are hiring for Assistant R Statistical Programmer jobs?

Cities near Charlotte, NC with the most Assistant R Statistical Programmer job openings:

Joint Test & Evaluation Program Officer (TS/SCI Eligible)

Contact Government Services, LLC

Charlotte, NC • On-site

$130K - $150K/yr

Full-time

Re-posted 19 days ago


Job description

Group and Job Profile Guidance: 
The Joint Test & Evaluation (JT&E) program considers emerging
technologies and the increasingly complex and dynamic joint, multi-domain operational environment to develop non-material solutions intended to enhance the United States’ operational effectiveness,
suitability, and survivability in combat.

Primary Job Functions: 
As a member of the Joint Test & Evaluation Support Cell (JTSC) this individual will support the programmatic evaluation and analysis of Combatant Command Test Nominations and subsequent approved execution.

•Conduct quantitative and qualitative analysis to support Joint Test & Evaluation (JT&E) projects and enhance operational decision-making.
•Apply statistical methods, modeling & simulation techniques, and operations research methodologies to assess joint military operations and improve mission effectiveness.
•Develop and implement data-driven solutions to optimize military operations, force readiness, and strategic planning.
•Utilize computer-based analytical tools to evaluate operational performance and identify areas for improvement.
•Identify risks, limitations, and operational challenges in joint military environments and recommend analytical solutions.
•Applying process modeling and analytical techniques to identify operational challenges and develop effective solutions.
•Conducting problem decomposition, concept development, and data-driven analysis to support joint military operations.
•Providing parametric and non-parametric statistics, data analysis techniques, computer analysis tools, basic modeling and simulation applications, and survey test and evaluation methods.

Qualifications and Experience:
•Master's Degree in Operations Research, Mathematics, Statistics, Engineering, or a related technical field.
•A Master's Degree in a non-technical field may be substituted with 10+ years of ORSA-related experience in military or government civilian experience.
•Alternatively, a Bachelor’s Degree in a technical field with an additional 5 years of ORSA-related experience (totaling 10 years) may also be considered.
•Proficiency in statistics, data analysis techniques, computer analysis tools, basic modeling and simulation applications, and human factors analysis.
•Experience developing test and evaluation plans. (preferred but not required)

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