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R Developer Jobs (NOW HIRING)

Our partner is looking for a R Developer with Bio Background based in Netherlands. Join a mission-driven engineering team where your expertise in R, data science, and life sciences will contribute to ...

R-Programmer Contract Start: Immediate Contract 14 months Position type: Contract. Job Requirement: * This project is to assist the agency with federal reporting requirements. * Current coding ...

... & DevOps functions. * 3+ years solid development experience in R, R packages, RStudio, RStudio Connect, RStudio Package Manager, Python, SQL, Web & Cloud Technologies * 2+ years of experience with ...

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 ...

Contribute to internal R package development for efficient cross-departmental programming practices; * Interact with relational data at both study- and enterprise-level inclusive of actions for query ...

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 ...

... & DevOps functions. * 3+ years solid development experience in R, R packages, RStudio, RStudio Connect, RStudio Package Manager, Python, SQL, Web & Cloud Technologies * 2+ years of experience with ...

... & DevOps functions. 3+ years solid development experience in R, R packages, RStudio, RStudio Connect, RStudio Package Manager, Python, SQL, Web & Cloud Technologies 2+ years of experience with AWS ...

Accord Technologies Inc is seeking an R-Programmer to assist with federal reporting requirements. The role involves researching, developing, and maintaining statistical reporting models in R ...

Description As an Apple NAND Q&R Engineer, you will shape the future of Apple's mass storage architecture by leveraging your coding, data analytics, and Q&R engineering expertise. You'll integrate ...

Description As an Apple NAND Q&R Engineer, you will shape the future of Apple's mass storage architecture by leveraging your coding, data analytics, and Q&R engineering expertise. You'll integrate ...

OnBase Developer Location : Richmond, VA Duration : 12 Months Plus OnBase Developer/ system administrator implementing and supporting imaging, workflow, work view and various other OnBase related ...

OnBase developer Job Location: Parsippany, NJ Job Type: Contract * Ability to work independently and in a team oriented environment Keen attention to detail Excellent communication skills Collaborate ...

$55.50 - $76/hr

Wenn du ein:e versierte:r Technolog:in, visionare:r Entwickler:in und verlassliche:r Teamplayer:in bist, passt du perfekt in unser Team! * Entwicklung und Design der Produktarchitektur fur Linux ...

Livevox NICE Contact Developer Location - Plano, TX FTE Only • 6-8 year exp. in Livevox/NICE In Contact development • Call center experience in NICE InContact with hands-on in Studio Scripting ...

LiveVox NICE Contact Developer Location - Plano, TX FTE Only Job Summary • 6-8 year exp. in Livevox/NICE In Contact development • Call Center experience in NICE InContact with hands-on in Studio ...

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R Developer information

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$13

$49

$88

How much do r developer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for r developer in the United States is $49.33, according to ZipRecruiter salary data. Most workers in this role earn between $26.44 and $67.31 per hour, depending on experience, location, and employer.

What is an R developer?

An R Developer is a professional who specializes in using the R programming language for statistical analysis, data visualization, and developing data-driven applications. R Developers often work in fields like data science, bioinformatics, finance, and research to process and interpret complex data. Their responsibilities include writing efficient R code, building data models, creating visualizations, and sometimes integrating R with other tools or databases. Strong knowledge of R packages such as dplyr, ggplot2, and Shiny is typically required. R Developers may also collaborate with analysts, data engineers, and other stakeholders to deliver insights and solutions.

How does an R developer typically collaborate with data scientists and other stakeholders in a project?

R Developers frequently work closely with data scientists, analysts, and business stakeholders to translate analytical requirements into efficient, reliable code. They often participate in team meetings to clarify project goals, review data models, and ensure that the statistical methods used align with business objectives. Regular communication and code reviews are common, as is the sharing of reproducible scripts and documentation to facilitate collaboration. This team-oriented environment helps ensure that analytical solutions are both technically sound and actionable for decision-makers.

What is an R developer?

An R developer is a software developer that specializes in the free software environment and programming language know as R. As an R developer, your responsibilities revolve around writing code for data analysis, statistical computing, and modeling. Qualifications are not universal for this career, but you likely need at least an associate degree in computer science. Since there is no formal certification for the R language, you should develop a strong portfolio to showcase your skills. Experience with statistics is also essential for this role. You can find work as an R developer in a variety of industries, but finance is one of the most common.

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

To thrive as an R Developer, you need strong programming skills in R, a background in statistics or data analysis, and typically a degree in computer science, mathematics, or a related field. Familiarity with R packages (like tidyverse, Shiny, and ggplot2), version control systems (such as Git), and experience with databases or cloud platforms are often required. Attention to detail, problem-solving abilities, and clear communication help R Developers translate complex data into actionable insights. These skills are crucial for delivering accurate analyses, building robust data solutions, and collaborating effectively within data-driven teams.

What is the difference between R Developer vs Data Analyst?

AspectR DeveloperData Analyst
Primary RoleDevelops and maintains data analysis tools and scripts using RAnalyzes data to generate reports and insights using various tools, including R
Skills & CertificationsProficiency in R programming, data manipulation, statistical analysisData visualization, statistical analysis, proficiency in Excel, SQL, R
Work EnvironmentData science teams, software development projects, tech companiesBusiness units, marketing, finance, consulting firms
Industry UsageUsed in data science, analytics, and software developmentUsed in business intelligence, reporting, and decision-making

While both R Developers and Data Analysts work with data and R programming, R Developers focus on creating data tools and software, whereas Data Analysts primarily interpret data to provide insights. The roles often overlap, but their core responsibilities differ based on technical development versus data interpretation.

What cities are hiring for R Developer jobs? Cities with the most R Developer job openings:
What states have the most R Developer jobs? States with the most job openings for R Developer jobs include:
Infographic showing various R Developer job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 3% Part Time, and 17% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $102,607 per year, or $49.3 per hour.

R Developer with Bio Background

Jobgether

On-site, Remote

Full-time

Posted 5 days ago


Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a R Developer with Bio Background based in Netherlands.

Join a mission-driven engineering team where your expertise in R, data science, and life sciences will contribute to impactful solutions across drug discovery and clinical research. In this role, you will design and develop data-driven applications that help scientists and researchers make better decisions using complex biological and clinical data. You will combine software engineering skills with domain knowledge in bioinformatics, clinical workflows, and regulated environments. Working alongside experienced engineers, data scientists, and life science specialists, you will build scalable solutions with real-world scientific impact. This fully remote opportunity offers strong ownership, technical challenges, and the chance to grow within a collaborative, innovation-focused environment.

Accountabilities
  • Develop and maintain R-based solutions for statistical programming, data analysis, visualization, and scientific workflows supporting life science and healthcare projects.
  • Build interactive applications and data tools using R/Shiny to help researchers and clinical teams explore, interpret, and act on complex datasets.
  • Design, implement, and maintain reproducible data processing pipelines while following software engineering and quality standards.
  • Work with clinical, scientific, and technical stakeholders to gather requirements, manage priorities, and translate business needs into effective technical solutions.
  • Apply knowledge of clinical trial processes, bioinformatics workflows, and regulated environments to deliver reliable and compliant data solutions.
  • Support the development and maintenance of reusable R packages, tools, and frameworks that improve scalability and efficiency.
  • Collaborate with multidisciplinary teams to solve complex data challenges across areas such as drug development, clinical research, and biological analysis.
Requirements
  • Strong proficiency in R programming for statistical analysis, data manipulation, visualization, and application development.
  • Experience working with life sciences, bioinformatics, biostatistics, or related scientific domains.
  • Knowledge of CDISC standards including SDTM, ADaM, and SEND, along with familiarity with industry best practices.
  • Experience with TLF programming (Tables, Listings, and Figures) and understanding of clinical data reporting processes.
  • Knowledge of validation principles and working practices within GxP-regulated environments.
  • Experience with Medical Data Review, Pharmacovigilance, and clinical trial workflows.
  • Familiarity with Git or other version control systems and modern software development practices.
  • Experience gathering requirements, managing backlogs, and collaborating with cross-functional teams.
  • Master's degree in bioinformatics, computer science, data science, biostatistics, mathematics, or equivalent professional experience.
  • Additional experience with R/Shiny applications, Nextflow pipelines, bioinformatics tools and databases, molecular biology concepts, Bioconductor, BLAST, NCBI, EMBL, PDB, PubMed, or R package development is considered an advantage.
  • Ability to work effectively in a remote international environment and communicate clearly in English.
Benefits
  • Fully remote work opportunity across Europe, Poland, or LATAM with flexible working hours.
  • Meaningful projects supporting drug discovery, clinical trials, and scientific decision-making.
  • High level of technical ownership with opportunities to design and evolve impactful data applications.
  • Collaboration with experienced engineers, data scientists, bioinformaticians, and life science professionals.
  • Competitive B2B compensation aligned with experience and career level.
  • Professional development support through learning opportunities, conferences, workshops, and continuous growth initiatives.
  • Remote-first culture built on trust, autonomy, collaboration, and thoughtful problem-solving.
  • Opportunity to contribute to open-source projects and grow as an R and R/Shiny specialist.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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