ZipRecruiter

Log In

1

Junior R Statistical Programmer Jobs in North Carolina

IQVIA

Principal R Programmer

Durham, NC

$98K - $273K/yr

Bachelor's degree in Math, Stats, Computer Science or similar * 5+ years of industrial experience * Must have advanced R programming skills, including tidyverse, ggplot2, Markdown, Quarto, Shiny, etc.

IQVIA, Inc.

Principal R Programmer

Durham, NC · On-site

$98K - $273K/yr

Bachelor's degree in Math, Stats, Computer Science or similar * 5+ years of industrial experience * Must have advanced R programming skills, including tidyverse, ggplot2, Markdown, Quarto, Shiny, etc.

IQVIA

Principal R Programmer

Durham, NC

$98K - $273K/yr

Bachelor's degree in Math, Stats, Computer Science or similar * 5+ years of industrial experience * Must have advanced R programming skills, including tidyverse, ggplot2, Markdown, Quarto, Shiny, etc.

Caidya

Principal Biostatistician

Morrisville, NC · On-site

Willingness to share expertise with junior staff members. Capabilities * Excellent broad ranging understanding of statistical methods and issues. Demonstrates leadership in several areas of ...

SynergisticIT

Python/R Programmer - Entry

Durham, NC · On-site

Recent graduates in Computer Science, Engineering, Mathematics, or Statistics who want a career in ... Clients require real-world experience and relevant skills, even for junior or entry-level positions.

Diverse Lynx

SAS Viya developer

Raleigh, NC · On-site

This role requires strong domain expertise in SDTM, ADaM, regulatory submissions, and SAS/Python/R ... Collaborate with clinical, statistical, regulatory, and IT stakeholders * Drive Agile delivery and ...

next page

Showing results 1-20

All JobsJunior R Statistical Programmer JobsJunior R Statistical Programmer Jobs in North Carolina

Junior R Statistical Programmer information

What are typical challenges a Junior R Statistical Programmer might face when transitioning from academic projects to industry settings?

Junior R Statistical Programmers often find the shift from academic to industry work entails adapting to stricter timelines, code standardization, and collaborative workflows. In industry, you may need to follow specific documentation practices, utilize version control systems like Git, and adapt your code for scalability and reproducibility. Additionally, you’ll frequently collaborate with statisticians, data managers, and project leads, which requires strong communication skills and the ability to incorporate feedback from multiple stakeholders.

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

AspectJunior R Statistical ProgrammerData Analyst
Required SkillsProficiency in R, basic statistical knowledge, programming skillsData manipulation, visualization, statistical analysis, often using R or Excel
Work EnvironmentPharmaceutical or clinical research settings, working on data processing and reportingBusiness, marketing, or healthcare sectors analyzing large datasets for insights
CertificationsOften requires a degree in statistics, biostatistics, or related field; certifications like SAS or R preferred

While both roles involve data analysis and R programming, Junior R Statistical Programmers focus more on clinical or research data processing within regulated environments, whereas Data Analysts work across various industries analyzing business data. The roles share skills but differ in context and application.

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

To thrive as a Junior R Statistical Programmer, you need a solid understanding of statistical concepts, programming proficiency in R, and a bachelor's degree in statistics, mathematics, computer science, or a related field. Familiarity with data management tools like SQL, version control systems such as Git, and statistical analysis packages in R is typically expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with team members and clearly present analytical findings. These competencies ensure accurate data analysis, reproducible results, and successful teamwork within research or business environments.

What are Junior R Statistical Programmers?

Junior R Statistical Programmers are entry-level professionals who use the R programming language to analyze data, create statistical models, and generate reports, often for research, healthcare, or business purposes. They typically assist senior statisticians or data scientists by cleaning data, writing scripts, and performing basic statistical analyses. Their role helps organizations turn raw data into actionable insights, and they often work as part of a larger analytics or research team.
What are the most commonly searched types of R Statistical Programmer jobs in North Carolina? The most popular types of R Statistical Programmer jobs in North Carolina are:
What are popular job titles related to Junior R Statistical Programmer jobs in North Carolina? For Junior R Statistical Programmer jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Junior R Statistical Programmer jobs in North Carolina look for? The top searched job categories for Junior R Statistical Programmer jobs in North Carolina are:
Junior R Statistical Programmer jobs near you
Infographic showing various Junior R Statistical Programmer job openings in North Carolina as of June 2026, with employment types broken down into 70% Full Time, 20% Part Time, and 10% Contract. Highlights an 65% In-person, and 35% Remote job distribution.
Sr. Director, Statistical Programming Safety

Sr. Director, Statistical Programming Safety

Penfield Search Partners

Raleigh, NC • Hybrid

Full-time

Posted 25 days ago

Job description

Contact: Lauren Scutero -
This is a permanent, hybrid position in Raleigh, NC with two days (Monday, Friday) as optional work from home with core collaboration days in the office: Tues, Wed, Thurs. Fully home-based work is not available for this role.
Job Description Position Summary
Provides strategic, operational, and hands on (player coach) leadership for compound level safety statistical programming and aggregate safety reporting deliverables, including DSUR, PSUR/PBRER, Risk Management Plan (RMP), IBRSI, and support for broader safety surveillance and safety analytics. Leads teams and oversees vendors to ensure timely, high quality, and inspection ready delivery while driving modernization through AI enabled and automated programming approaches.
Key Responsibilities

  • Lead end to end programming strategy and execution for compound level aggregate safety reporting deliverables (DSUR, PSUR/PBRER, RMP, IBRSI).
  • Provide strategic oversight of roles, responsibilities, and build steps for aggregate safety programming delivery.
  • Serve as escalation point for complex pooled/cumulative safety analyses and urgent ad hoc safety requests.
  • Maintain hands on engagement to ensure technical correctness, reproducibility, and delivery reliability for critical outputs.
  • Ensure consistent processes, folder structures, and operational readiness for safety programming deliverables.
  • Own and continuously improve quality management practices, including definition and monitoring of KPIs.
  • Provide vendor/FSP oversight and governance, ensuring training readiness, documented expectations, and appropriate QC.
  • Lead, mentor, and develop Safety Statistical Programming staff; oversee less experienced colleagues and contribute to development of standards, tools, and templates.
  • Drive adoption of AI enabled and automated programming approaches to improve efficiency, consistency, and quality.


Capabilities & Requirements

  • Excellent written and verbal communication; strong influencing and negotiation skills.
  • Deep knowledge of drug development, regulatory expectations, and industry standards for safety programming and reporting.
  • Proven ability to lead people leaders, delegate effectively, coach performance, and support career development.
  • Strong judgment and problem solving skills in complex situations; ability to prioritize critical issues.
  • Demonstrated ability to work cross functionally and influence decision making.
  • Education & Experience
  • Bachelor’s degree or higher in Biostatistics, Computer Science, or related field with 12+ years of relevant industry experience.
  • 6+ years of leadership or cross functional project management experience, including managing project teams.
  • Significant line management experience with a proven record of hiring and developing high performing talent.
  • Extensive experience with SAS®; experience with R and/or Python preferred.
  • Demonstrated leadership in change management and standards adoption.