1

Assistant R Statistical Programmer Jobs in Wake Forest, NC

Quality Engineer

Raleigh, NC · On-site

$70K - $90K/yr

... * Assist process development engineers and mechanical Integrity engineers in the (data ... Statistical analysis software (Minitab) * Geometric Dimensioning & Tolerancing * Strong Knowledge ...

Select and utilize a wide range of appropriate statistical methodologies and techniques ... * Assist and/or lead in the development of technical specifications for future projects and ...

Select and utilize a wide range of appropriate statistical methodologies and techniques ... * Assist and/or lead in the development of technical specifications for future projects and ...

Quality Engineer

Durham, NC · On-site

$69K - $89K/yr

Analyze manufacturing processes using SPC, statistical methods, and quality metrics to improve ... Knowledge of SPC, FMEA, Control Plans, CAPA, Gauge R&R, and Root Cause Analysis. * Proficiency with ...

Data Scientist

Raleigh, NC · On-site

$110 - $170/hr

... statistical modeling and machine learning, with a track record of deployed production models. * Strong programming skills in Python (PySpark, pandas, NumPy, scikit-learn, statsmodels, XGBoost), R ...

New

Showing results 41-60

Assistant R Statistical Programmer information

See Wake Forest, NC salary details

$72.5K

$126.3K

$213.6K

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

As of Aug 7, 2026, the average yearly pay for assistant r statistical programmer in Wake Forest, NC is $126,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,200.00 and $137,200.00 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.

What are popular job titles related to Assistant R Statistical Programmer jobs in Wake Forest, NC? For Assistant R Statistical Programmer jobs in Wake Forest, NC, the most frequently searched job titles are:
What cities near Wake Forest, NC are hiring for Assistant R Statistical Programmer jobs? Cities near Wake Forest, NC with the most Assistant R Statistical Programmer job openings:
Infographic showing various Assistant R Statistical Programmer job openings in Wake Forest, NC as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $126,333 per year, or $60.7 per hour.

Full-time

Re-posted 26 days ago


State Employees' Credit Union (North Carolina) rating

8.2

Company rating: 8.2 out of 10

Based on 23 frontline employees who took The Breakroom Quiz


Job description

If you are motivated and believe in the credit union philosophy of "People Helping People," join our team!
Position Overview:
Assist in the development, implementation, and maintenance of the Model Risk Management (MRM) program within SECU through the development and validation of statistical models, qualitative models, and models developed with other quantitative algorithms.
Essential Responsibilities:
  • (40%) Execute model validation activities across the model life-cycle including model validations, ongoing performance evaluation, and tracking model findings to ensure models across SECU are conceptually sound relative to their intended use and performing appropriately. Execute end-to-end testing plans for validation and review of SECU's statistical and qualitative models with oversight and guidance from supervisor and other senior validation staff.
  • (30%) Validate the performance and controls of statistical models using provided model development documentation and communications with model developers. Document and present findings to management and model owners.
  • (10%) Provide input for enhancements to the model risk management framework, including maintaining model inventory and model risk rankings.
  • (10%) Develop and maintain effective partnerships within SECU, particularly with model owners, model developers and data analysts.
  • (10%) Assist in implementation of, and adherence to, the MRM Policy and associated model risk SOPs across SECU.

Required Education & Experience (Knowledge, Skills, & Abilities):
  • Bachelors in a quantitative discipline (Economics, statistics, finance, data science or analytics, math, physics, or related field)
  • 3+ years of experience in modeling or analytics
  • Ability to assess model conceptual design, backtesting of model results, assumptions, controls over data flows, model execution, and compliance of model results with intended application by model users.
  • Advanced programming skills in a statistical programming language, such as SAS, R, or Python. Ability to write computer code to perform analysis on complex modeling and analytical challenges and to review code written by others for accuracy and efficiency, with minimal guidance from supervisor.
  • Academic and/or professional understanding of advanced mathematical and statistical modeling techniques, including logistic regression, time series analysis, linear regression, Monte Carlo simulation, Artificial Intelligence/Machine Learning (AI/ML) techniques, etc.
  • Demonstrated ability to contribute to multiple projects simultaneously under guidance from supervisor.
  • Strong oral and written communication skills. Experience contributing to detailed technical validation reports and/or model development documentation.
  • Strong attention to detail and the ability to understand and analyze complex modeling and analytical challenges with some guidance from supervisor and senior staff.
  • Perform job functions independently with some day-to-day oversight from supervisor.

Preferred Education & Experience (Knowledge, Skills, & Abilities):
  • Masters in quantitative discipline
  • Experience in financial services or consulting industry
  • Experience developing or validating models used for CECL, Credit Risk, CCAR/Stress Testing, PPNR, ALM, loan pricing and/or mortgage servicing rights, derivatives, Compliance (BSA/AML/OFAC), Liquidity, or Fraud
  • Subject matter expertise in generative large language models (Artificial Intelligence)

Job Environment & Physical Requirements:
  • Hybrid expectations
  • Sitting for prolonged periods
  • Computer for prolonged periods

SECU provides equal employment opportunity to all qualified persons regardless of race, color, religion, age, sex, sexual orientation, gender identity, national origin, genetic information, disability, veteran status, or other classification protected by law.
Disclaimer
State Employees' Credit Union reserves the right to fill this role at a higher/lower level based on business need.

What State Employees' Credit Union (North Carolina) employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom