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R Programming Jobs (NOW HIRING)

The contractor must have hands-on R programming knowledge; statistical background and understanding * Ability to build and deliver robust statistical models * Deliver high-quality documentation and ...

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... programming who enjoys solving real study-team problems--not just traditional statistical support. * Strong R development required; SAS helpful * Clinical trial/statistical analysis experience

Data Engineering and Advance Analytics Enablement team is looking for a R Analytics Cloud Engineer that will be playing a key role in helping on enabling Analytics Tools used for research community ...

C++ Developer-----Need GC and USC

Cincinnati, OH · On-site

$47 - $63.25/hr

C++, R programming This resource will be responsible for C++ and R programming to help do segmentation and extension work. They need to be able to work with analytical functions and have some ...

Programming experience in R; * Work experience with clinical data; * Experience building web applications is preferred (with either Shiny or Streamlit); and * Experience building dashboards is ...

Programming experience in R; * Work experience with clinical data; * Experience building web applications is preferred (with either Shiny or Streamlit); and * Experience building dashboards is ...

Programming experience in R; * Work experience with clinical data; * Experience building web applications is preferred (with either Shiny or Streamlit); and * Experience building dashboards is ...

Programming experience in R; * Work experience with clinical data; * Experience building web applications is preferred (with either Shiny or Streamlit); and * Experience building dashboards is ...

Programming experience in R; * Work experience with clinical data; * Experience building web applications is preferred (with either Shiny or Streamlit); and * Experience building dashboards is ...

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R Programming information

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How much do r programming jobs pay per year?

As of Sep 12, 2026, the average yearly pay for r programming in the United States is $124,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $139,500.00 per year, depending on experience, location, and employer.

What is R programming?

R programming is an open-source language and environment primarily used for statistical computing, data analysis, and graphical representation of data. It is widely used by statisticians, data analysts, and researchers for tasks like data manipulation, statistical modeling, and creating visualizations. R has a rich ecosystem of packages and libraries that make it highly flexible for various data science applications. Its ability to handle large datasets and integrate with other programming languages makes it a popular choice in academia and industry. Additionally, R is supported by an active community, which continuously contributes new tools and resources.

What types of projects do R programming professionals typically work on within a team environment?

R Programming professionals often collaborate on projects involving data analysis, statistical modeling, and visualization. They usually work closely with data scientists, analysts, and subject matter experts to clean datasets, build predictive models, and generate insightful reports. The role requires effective communication to translate technical findings into actionable recommendations for non-technical stakeholders. Additionally, R programmers may participate in code reviews, contribute to package development, and help automate data pipelines, fostering a collaborative and learning-oriented work environment.

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

To thrive as an R Programmer, you need strong proficiency in R programming, data analysis, and statistical modeling, often supported by a background in statistics, mathematics, or computer science. Familiarity with tools such as RStudio, version control systems like Git, and relevant packages (e.g., dplyr, ggplot2) is highly valued, along with certifications in data science or analytics. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating data insights into actionable solutions. These skills ensure accurate data analysis, efficient workflow, and clear communication of results to technical and non-technical stakeholders.

What is the difference between R Programming vs Data Analyst?

AspectR ProgrammingData Analyst
Required skillsStatistical analysis, coding in R, data visualizationData manipulation, reporting, basic statistical skills
Work environmentData science teams, research labs, analytics departmentsBusiness, finance, marketing, healthcare sectors
Tools usedR, RStudio, packages like ggplot2, dplyrExcel, SQL, Tableau, R (sometimes)

R Programming is a specialized skill focusing on statistical computing and data visualization, often used by data scientists and statisticians. Data Analysts utilize a broader set of tools and skills to interpret data for business insights. While R Programming is essential for advanced analysis, Data Analysts often combine R with other tools to deliver reports and dashboards.

Are R programming in demand?

R programming is in high demand in data analysis, statistics, and data science roles across various industries. Professionals skilled in R, along with knowledge of data visualization and statistical modeling, are sought after for tasks involving data-driven decision making and research. The demand is expected to grow as organizations increasingly rely on data analysis tools.

What careers use R programming?

R programming is widely used in data analysis, statistics, and data science roles such as data analyst, data scientist, and biostatistician. Professionals in finance, healthcare, research, and academia also use R for data visualization, modeling, and reporting tasks, often requiring knowledge of statistical concepts and data manipulation tools.
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Infographic showing various R Programming job openings in the United States as of September 2026, with employment types broken down into 2% Internship, 83% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $124,000 per year, or $59.6 per hour.

Associate Director, Statistical Programming - R Implementation

Basking Ridge, NJ • On-site

Initial Therapeutics, Inc.
Biotechnology Research and Development • 11 - 50 employees

$171K - $256K/yr

Other

Posted 9 days ago


Job description

Job Description

Job Title: Associate Director, Statistical Programming - R Implementation

Job Requisition ID: 2098

Posting Start Date: 8/24/26

At Daiichi Sankyo, we are united by a single purpose, to improve lives around the world through innovative medicines. With a legacy of innovation since 1899, a presence in more than 30 countries, and more than 19,000 employees, we are advancing breakthrough therapies in oncology, cardiovascular disease, rare diseases, and immune disorders. Guided by our 2030 vision to "be an innovative global healthcare company contributing to the sustainable development of society", we are shaping a healthier, more hopeful future for patients, their families, and society.

Job Summary

The purpose of this job is to provide statistical programming technical support related to R programming, R related system and technology. Develop and drive R programming, package, and R shiny app development. Lead the R programming implementations. Represent programming in DS external collaborations on R technology and capabilities.

Responsibilities Lead/contribute to DS R programming system technology development:
  • Lead/contribute to the R programming system development.
  • Act as R programming SME and functional representative of R systems and infrastructure to identify system and technology development needs and to define functional requirements.
  • Provide technical guidance to the development.
  • Lead and may approve UATs.
  • Lead/contribute to resolutions of BDM departmental (internal and external) R related analysis and programming technical issues and difficulties.
  • Lead the trainings and implementations of R system and programming technology.
Developing R package and Shiny apps:
  • Contribute to strategy of R programming innovation to support BDM analysis and reporting, such as R shiny apps for data surveillance, visualization, modeling and simulations, and safety signal detection.
  • Lead the development and validations of R package and/or shiny apps. Identify and build the use cases and process/resources to guide the implementations.
  • Lead, advocate and nurture R programming innovation globally within DS.
  • Represent the programming innovation outside of DS and establish the company reputations and images.
  • Develop study specific shiny apps or execute shiny apps at study level.
  • Publish shiny apps for study or against integrated database
Representing cross-functional collaborations on R capabilities and systems:
  • Collaborate with RD non-BDM and non-RD R user group or developers.
  • Collaborate with biostat innovation to enhance BDM overall R capabilities and implementations.
  • Collaborate with CSPV to enable/effectively support safety signaling detections and across compounds safety reviews (i.e., ILD).
  • Collaborate with Clinical Development and Clinical Sciences for effective data surveillance
Qualifications Education Qualifications
  • Bachelor's Degree an accredited institution in a science or in a technical field such as computer science or mathematics required Master's Degree preferred
Experience Qualifications
  • 10 or More Years Bachelor’s degree with minimum 10 years (or Master’s degree with minimum of 7 years) proven experience required
  • 7 or More Years Previous experiences in R programming area, involved in R and/or Shiny app development and implementation. required
  • Advanced working knowledge of all aspects of the R and SAS programming language used in clinical trials programming. required
  • Advanced working knowledge of CDISC SDTM and ADaM, and extensive experiences of their implementation in clinical trials analysis required
  • Advanced understanding of statistical concepts in support of analyses and reporting of clinical trials. required
  • Having knowledge of all phases of drug development, including early and late phase clinical development and submission required
  • Having solid background of applied statistics required
  • Solid knowledge of new advanced statistical methods using SAS or R required
  • Advanced knowledge in database structures and set-up required
Travel Requirements

Ability to travel up to 10% of the time.

Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Salary Range:

USD$171,120.00 - USD$256,680.00

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