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Internship R Statistical Programmer Jobs in Cary, NC

UNC-Chapel Hill

Research Associate

Chapel Hill, NC · On-site

Demonstrated proficiency in at least one statistical programming language - Stata, R, and/or Python. Applicants with no evidence of Stata, R, and/or Python experience in their application materials ...

Amphenol TCS

Quality Engineer

Raleigh, NC · On-site

$70K - $90K/yr

... R's, long term stability, FAI's, Cmk's and Cpk's. * Ability to analyze operating data, including ... Statistical analysis software (Minitab) * Geometric Dimensioning & Tolerancing * Strong Knowledge ...

E-Solutions, Inc.

Gen AI Engineer

Raleigh, NC · On-site

Participate in developing models using statistical or machine learning techniques and collaborate ... R/ Python. * Participate in defining analytics problems; execute visualization, analysis, and ...

Truist

Senior Analytics Consultant

Raleigh, NC

... in statistical programming languages such as Python, R, or SQL. 4. Strong expertise in data visualization tools (e.g., Tableau, Power BI). Preferred Qualifications 1. Master's degree or higher in ...

Tata Consultancy Services

AI ML Data Scientist

Cary, NC · On-site

... R Programming, Python, Spark • Statistical & Data Management Packages - Python - Pandas, Numpy, sklearn, PyOdbc • R- dplyr, car, caret, lubridate, zoo, Rminer, R-Odbc • Visualization - Tableau ...

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All JobsR Statistical Programmer JobsInternship R Statistical Programmer JobsInternship R Statistical Programmer Jobs in Cary, NC

Internship R Statistical Programmer information

See Cary, NC salary details

$78.3K

$136.5K

$230.7K

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

As of Jul 15, 2026, the average yearly pay for internship r statistical programmer in Cary, NC is $136,453.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,800.00 and $148,200.00 per year, depending on experience, location, and employer.

What is the difference between Internship R Statistical Programmer vs R Statistical Programmer?

AspectInternship R Statistical ProgrammerR Statistical Programmer
Required CredentialsTypically pursuing or recently completed a degree in statistics, biostatistics, or related fieldBachelor's or master's degree in statistics, biostatistics, or related field; professional experience preferred
Work EnvironmentInternship setting, often part-time or temporary, supervised by senior staffFull-time, permanent role within pharmaceutical, biotech, or healthcare industries
Employer & Industry UsageUsed in academic, research, or entry-level industry settingsCommon in clinical research, pharmaceutical companies, and CROs

The main difference between an Internship R Statistical Programmer and an R Statistical Programmer is experience level and employment status. Internships are typically temporary positions for students or recent graduates gaining practical experience, while R Statistical Programmers are full-time professionals responsible for developing and maintaining statistical programming in clinical trials or research projects.

What are the key skills and qualifications needed to thrive as an Internship R Statistical Programmer, and why are they important?

To thrive as an Internship R Statistical Programmer, you need a solid background in statistics, programming with R, and data analysis, usually supported by coursework or a degree in statistics, mathematics, or a related field. Familiarity with RStudio, data visualization libraries (like ggplot2), and version control systems such as Git is typically expected. Attention to detail, problem-solving ability, and effective communication are vital soft skills that help you interpret data and collaborate with team members. These competencies ensure accurate data processing, meaningful statistical insights, and efficient teamwork on research or business projects.

What does an Internship R Statistical Programmer do?

An Internship R Statistical Programmer assists with data analysis, statistical modeling, and data visualization using the R programming language. Interns typically work under the supervision of experienced statisticians or data scientists, helping to clean and manage datasets, write scripts and code in R, and generate reports or graphics for research projects or business analyses. This role provides valuable hands-on experience in statistical programming and is often geared towards students or early-career professionals interested in data science or analytics.

What does a typical day look like for an Internship R Statistical Programmer, and how do interns collaborate with other team members?

As an Internship R Statistical Programmer, your typical day involves writing and testing R scripts to process and analyze data, often under the guidance of experienced programmers or statisticians. You'll participate in team meetings, contribute to code reviews, and work closely with data scientists, biostatisticians, or clinical research teams depending on the industry. Collaboration is key, as you'll frequently discuss analysis plans, clarify data requirements, and troubleshoot code alongside others. This role provides hands-on experience with real-world datasets and fosters growth in both technical and communication skills.
What are the most commonly searched types of R Statistical Programmer jobs in Cary, NC? The most popular types of R Statistical Programmer jobs in Cary, NC are:
What are popular job titles related to Internship R Statistical Programmer jobs in Cary, NC? For Internship R Statistical Programmer jobs in Cary, NC, the most frequently searched job titles are:
What job categories do people searching Internship R Statistical Programmer jobs in Cary, NC look for? The top searched job categories for Internship R Statistical Programmer jobs in Cary, NC are:
What cities near Cary, NC are hiring for Internship R Statistical Programmer jobs? Cities near Cary, NC with the most Internship R Statistical Programmer job openings:
Internship R Statistical Programmer jobs near you
Infographic showing various Internship R Statistical Programmer job openings in Cary, NC as of July 2026, with employment types broken down into 9% Internship, 1% As Needed, 68% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $136,453 per year, or $65.6 per hour.
Research Associate

Research Associate

UNC-Chapel Hill

Chapel Hill, NC • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 14 days ago

University Of North Carolina At Chapel Hill rating

7.5

Company rating: 7.5 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

275th of 555 rated colleges and universities

Job description

Posting Information
Department Sheps Ctr for Hlth Serv Res-633100 Career Area Research Professionals Posting Open Date 07/13/2026 Application Deadline 08/03/2026 Open Until Filled No Position Type Permanent Staff (EHRA NF) Working Title Research Associate Appointment Type EHRA Non-Faculty Position Number 20077290 Vacancy ID NF0009891 Full Time/Part Time Full-Time Permanent FTE 1 Hours per week 40 Position Location North Carolina, US Hiring Range $70,000 - $90,000 Proposed Start Date 08/24/2026
Position Information
Be a Tar Heel!
A global higher education leader in innovative teaching, research and public service, the University of North Carolina at Chapel Hill consistently ranks as one of the nation's top public universities. Known for its beautiful campus, world-class medical care, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn.
One of the best college towns and best places to live in the United States, Chapel Hill has diverse social, cultural, recreation and professional opportunities that span the campus and community.
University employees can choose from a wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special rates on select campus events. UNC-Chapel Hill offers full-time employees a comprehensive benefits package, paid leave, and a variety of health, life and retirement plans and additional programs that support a healthy work/life balance.
Primary Purpose of Organizational Unit
The Cecil G. Sheps Center for Health Services Research seeks to improve the health of individuals, families, and populations by understanding the problems, issues, and alternatives in the design and delivery of health care services. This is accomplished through an interdisciplinary program of research, consultation, technical assistance, and training that focuses on timely and policy-relevant questions concerning the accessibility, adequacy, organization, cost, and effectiveness of health care services, and the dissemination of this information to policymakers and the general public.
Position Summary
The Cecil G. Sheps Center for Health Services Research at UNC Chapel Hill seeks to improve the health of individuals, families, and populations by understanding the problems, issues, and alternatives in the design and delivery of health care services. This is accomplished through an interdisciplinary program of research, consultation, technical assistance, and training that focuses on timely and policy-relevant questions concerning the accessibility, adequacy, organization, cost, and effectiveness of health care services, and the dissemination of this information to policymakers and the general public. 
The ShepsGME Technical Assistance Center at the Cecil G. Sheps Center is recruiting a Research Associate to provide quantitative data management and analysis support under the direction of Mukesh Adhikari, Research Investigator. This position will work across state and federally funded technical assistance centers and projects supporting the development of new medical and dental training programs in underserved communities to expand the health workforce.
The Research Associate will support a portfolio of applied research studies and data projects under the direction of the senior leadership and research personnel. Day-to-day work centers on the hands-on tasks that keep quantitative research moving: assembling data from primary and secondary sources; cleaning, managing, and documenting datasets; running statistical analyses as directed; and preparing tables, figures, and written summaries that support reports, findings briefs, and manuscripts. The position carries out and applies analytic approaches under the principal investigator's direction. 
Principal functions include: (a) collecting, cleaning, managing, and documenting research data; (b) conducting quantitative analyses using Excel, Stata, R, and/or Python under the direction of the principal investigator; preparing tables, figures, and summaries that support reports, briefs, and manuscripts; (d) maintaining well-documented, reproducible analytic code and workflows; and (e) providing administrative and project-coordination support. The role is well suited to a detail-oriented analyst who is comfortable taking direction and committed to the recurring, behind-the-scenes data work that reliable research depends on.
Minimum Education and Experience Requirements
Master's or Bachelor's and 0-2 years' experience; or will accept a combination of related education and experience in substitution.
Required Qualifications, Competencies, and Experience
* Demonstrated proficiency in at least one statistical programming language - Stata, R, and/or Python. Applicants with no evidence of Stata, R, and/or Python experience in their application materials will not be considered.
* Demonstrated experience across the full quantitative workflow, including data collection and assembly, data cleaning and management, and statistical analysis.
* Demonstrated experience preparing written research products such as reports, findings briefs, or manuscripts.
* Demonstrated ability to document analytic decisions, assumptions, and code so that work is transparent and reproducible.
* Strong attention to detail and the ability to manage multiple tasks and deadlines.
* Proactive, collaborative team orientation with strong interpersonal and written and oral communication skills.
Preferred Qualifications, Competencies, and Experience
 * Relevant post-Baccalaureate degree required in relevant field (e.g., economics, statistics, biostatistics, epidemiology, public policy, health policy and management, data science, or a closely related discipline); for candidates demonstrating comparable independent research productivity, will accept a relevant undergraduate degree and 3 or more years of relevant experience in substitution.  
* Experience working with large secondary datasets (e.g., administrative, claims, survey, or publicly available data such as the Census/American Community Survey), including acquiring, merging, and managing data from multiple sources. 
* Familiarity with Medicare Cost Report Data
* Some exposure to methods beyond standard regression (e.g., panel/longitudinal data or multilevel modeling) is a plus, but not required. 
* Familiarity with causal inference approach (e.g., difference-in-differences) is welcome but not expected. 
* Experience designing or conducting studies intended to inform policy.
* Experience with version control (e.g., Git) and reproducible research tools.
* Experience translating research results to academic, stakeholders, or policy audiences.
* Experience mentoring or supervising students or junior research assistants.
* Prior experience in an academic or applied research setting.
Special Physical/Mental Requirements Campus Security Authority Responsibilities

Not Applicable.

Special Instructions Quick Link https://unc.peopleadmin.com/postings/322312
Posting Contact Information
Department Contact Name and Title Diana M. deProphetis, HR Specialist Department Contact Telephone or Email dianadep@email.unc.edu Office of Human Resources Contact Information

If you experience any problems accessing the system or have questions about the application process, please contact the Office of Human Resources at (919) 843-2300 or send an email to employment@unc.edu
Please note: The Office of Human Resources will not be able to provide specific updates regarding position or application status.

Equal Opportunity Employer Statement
The University is an equal opportunity employer and welcomes all to apply without regard to age, color, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, or sexual orientation. We encourage all qualified applicants to apply, including protected veterans and individuals with disabilities.

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About University of North Carolina at Chapel Hill

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The University of North Carolina at Chapel Hill (UNC-Chapel Hill), located in Chapel Hill, NC, US, is renowned for being one of the leading research institutes in the world. Operating within the education industry, this public research university offers a broad range of undergraduate, graduate, and professional programs across various disciplines. UNC-Chapel Hill was chartered in 1789 and has maintained its legacy of academic excellence and innovative research for more than two centuries. The institution operates under the core values of excellence, innovation, engagement, accessibility, diversity, and inclusivity. Their mission is to serve the people of North Carolina and the United States by teaching a diverse community of students to become the next generation of leaders.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Chapel Hill, NC, US

Year founded

1789

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