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Internship R Statistical Programmer Jobs in Durham, NC

REVERE SOUTH INC

Process Engineer

Mebane, NC

$76K - $89K/yr

Perform Capability and Control Statistical Studies internally and externally. * Complete and ... R, Process Flow Diagrams, PFMEA/FMEA's, etc. * Use various diagnostic equipment and tools to ...

Revere Copper Products

Process Engineer

Mebane, NC · On-site

$76K - $89K/yr

Perform Capability and Control Statistical Studies internally and externally. * Complete and ... R, Process Flow Diagrams, PFMEA/FMEA's, etc. * Use various diagnostic equipment and tools to ...

Contemporaries

Data Engineer

Durham, NC · On-site

$57 - $63/hr

Develop workflows utilizing R-based Targets and Python-based Snakemake frameworks. * Implement ... Bachelor's degree in Computer Science, Data Engineering, Data Science, Bioinformatics, Statistics ...

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 ...

New

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 Durham, NC

Internship R Statistical Programmer information

See Durham, NC salary details

$81.7K

$142.3K

$240.6K

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

As of Jul 14, 2026, the average yearly pay for internship r statistical programmer in Durham, NC is $142,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,800.00 and $154,600.00 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 Durham, NC? The most popular types of R Statistical Programmer jobs in Durham, NC are:
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Internship R Statistical Programmer jobs near you
Sr. Lead Biostatistician - Oncology Evidence Generation

Sr. Lead Biostatistician - Oncology Evidence Generation

Labcorp

Durham, NC

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

Labcorp rating

6.6

Company rating: 6.6 out of 10

Based on 1,122 frontline employees who took The Breakroom Quiz

81st of 105 rated laboratories

Job description

Labcorp is seeking a SeniorLead Biostatistician- Oncology Evidence Generationto join our team in Raleigh/Durham, NC.

Work Schedule: Monday - Friday, First Shift

Job Summary:

Labcorp is seeking a Senior Lead Biostatistician to join our cross-functional Evidence Generation team, supporting a growing portfolio of oncology research initiatives, with a focus on observational clinical validity studies in minimal residual disease (MRD), alongside investigator-initiated studies, registries, and real-world evidence programs. This role will serve as the statistical lead across multiple studies, driving study design, analytical strategy, and execution to ensure high-quality, scientifically rigorous outputs.

The Senior Lead Biostatistician will act as a central statistical leader, partnering closely with clinical development, scientific, data, and operational teams, as well as external investigators and collaborators. This individual will ensure studies are appropriately designed, powered, and analyzed while delivering high-quality statistical outputs that support evidence generation, publication, and clinical adoption. The role plays a critical part in translating complex data into meaningful insights and advancing Labcorp's precision oncology evidence strategy.

Job Responsibilities:

  • Contribute to and shape the design of MRD-focused studies,including clinical validity studies, registries, and real-world evidence programs, defining endpoints, analysis strategies, and overall statistical approach across multiple concurrent programs
  • Perform sample size and power calculations, support endpoint justification, and draft statistical sections of study protocols
  • Independently perform statistical analyses across diverse datasets (clinical, assay/validation, and real-world/registry data) using appropriate methods (e.g., regression, survival analysis, validation approaches), ensuring accuracy, reproducibility, and appropriate documentation
  • Serve as the statistical point of contact for assigned studies; partner with clinical, translational, and data teams, as well as external collaborators, to support study execution and communicate statistical concepts, methods, and results clearly to non-statistical stakeholders
  • Identify study risks and provide data-driven recommendations to support study integrity and decision-making
  • Develop, manage, and maintain statistical deliverables (analysis summaries, tables/listings/figures, study reports) and lead or contribute to the development of Statistical Analysis Plans (SAPs)
  • Contribute to abstracts, manuscripts, and scientific presentations supporting evidence generation and publication strategy
  • Manage statistical deliverables across multiple concurrent studies, ensuring timelines, quality, and consistency of outputs
  • Lead or contribute to development of statistical templates, tools, and workflows, while building subject matter expertise in MRD and oncology study methodologies

Minimum Requirements:

  • MSin Biostatistics, Statistics, or a related quantitative field
  • 6or moreyears of experience in clinical biostatistics within biotechnology, diagnostics, CRO, or related healthcare environments
  • 5or more yearsof experiencein statistical programming (R, SAS or equivalent acceptable)
  • 3 or more years ofexperience supporting clinical research studies, including observational studies, registries, and/or assay validation efforts
  • 3 or more years of experienceindependently managingstatistical analyses and deliverables across multiple concurrent studies

Preferred Requirements:

  • PhD in Biostatistics, Statistics, or a related quantitative field
  • 3 or more years of experience in oncology research, biomarker-driven studies, or precision oncology
  • 3 or more years of experience with real-world data, registry-based research, or observational study designs
  • 3 or more years of experience contributing to scientific publications, including abstracts, manuscripts, or conference presentations
  • 1 or more years of experience with MRD, ctDNA, genomics/NGS-based assays, or molecular diagnostics
  • 1 or more years of experience with clinical study documentation and regulatory standards (e.g., protocols, SAPs, GCP principles)

Additional Job Standards:

  • Strong foundation in clinical study design and applied statistical leadership, including sample size estimation, power calculations, and endpoint evaluation
  • Experience applying statistical methods to clinical, real-world, and/or assay validation datasets, including regression and survival/time-to-event analysis
  • Strong written and verbal communication skills, with ability to clearly convey complex statistical concepts to diverse scientific and non-technical audiences
  • Demonstrated ability to work effectively in cross-functional teams and collaborate with internal stakeholders and external partners
  • Strong analytical, problem-solving, and organizational skills, with high attention to detail and commitment to data quality and scientific rigor
  • Experience working in collaborative research environments involving academic or external investigator partnerships
  • Occasional travel for internal meetings or external collaborator engagement, as needed (10-15%)

Benefits:Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan.Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees are only eligible to participate in the 401(k) Plan.For more detailed information, pleaseclick here.

Labcorp is proud to be an Equal Opportunity Employer:

Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.

We encourage all to apply

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