1

R Programming Language Jobs (NOW HIRING)

Knowledge of R (programming language) for customized analysis and reporting as well as extensive experience with at least one standard visualization package, e.g., Google Data Studio, Tableau, Qlik ...

Knowledge of R (programming language) for customized analysis and reporting as well as extensive experience with at least one standard visualization package, e.g., Google Data Studio, Tableau, Qlik ...

Data Engineer (Mid Level)

Charlotte, NC ยท On-site

$111K - $134K/yr

Experience with Snowflake ML/AI features and the R programming language. * Experience with Linux administration and system monitoring. * Experience using DAX. * Ability to travel occasionally.

... Programming Language) R (Programming Language) SAS (Software) SQL (Programming Language) Statistics Tableau (Business Intelligence Software) Cross-Org Skills Effective Communication Results ...

next page

Showing results 1-20

R Programming Language information

See salary details

$80K

$124K

$151K

How much do r programming language jobs pay per year?

As of Sep 11, 2026, the average yearly pay for r programming language 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 an R programming language?

An R Programming Language job involves using R, a statistical computing and graphics programming language, to analyze data, build statistical models, and create visualizations. Professionals in these roles often work in data science, machine learning, finance, healthcare, and academic research. Responsibilities may include writing R scripts, cleaning and processing data, creating reports, and implementing predictive models. Many R developers also integrate R with other tools like SQL, Python, or cloud platforms for data-driven decision-making.

What are the key skills and qualifications needed to thrive in the R programming language position?

Excelling in an R Programmer role requires strong proficiency in R programming, data analysis, and statistical modeling, usually supported by a degree in statistics, data science, computer science, or a related field. Familiarity with data visualization tools (such as ggplot2 or Shiny), version control systems (like Git), and relevant certifications such as the Data Science Council of America (DASCA) or equivalent are often valuable. Strong problem-solving abilities, clear communication, and collaboration skills help R Programmers effectively translate data insights to non-technical stakeholders and work efficiently within project teams. These competencies are crucial for delivering accurate, actionable analyses in various industries including finance, healthcare, and research.

What are the most common challenges faced by R programmers in a typical work environment?

R Programmers often encounter large and complex datasets that require efficient data cleaning and transformation techniques to ensure accuracy in analyses. Another common challenge is optimizing R code for performance, especially when working with big data or integrating R with other programming languages or systems. Additionally, clear communication of technical findings to non-technical stakeholders can be demanding but is essential for business impact. Being adaptable and willing to continuously learn new packages and tools helps overcome these challenges and adds significant value to the team.

More about R Programming Language jobs

What cities are hiring for R Programming Language jobs?

Cities with the most R Programming Language job openings:

What are the most commonly searched types of R Programming Language jobs?

The most popular types of R Programming Language jobs are:

What states have the most R Programming Language jobs?

States with the most job openings for R Programming Language jobs include:

What job categories do people searching R Programming Language jobs look for?

The top searched job categories for R Programming Language jobs are:

Infographic showing various R Programming Language job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person 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 โ€ข On-site

$171K - $256K/yr

Full-time

This job post hasย expired 2 days ago.ย Applications are no longer accepted.


Job description

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

Download Our Benefits Summary PDF