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R Programming Language Jobs in Virginia (NOW HIRING)

Background in statistical programming language (ideally SPSS, R, Tableau). Do you have what it takes? * Top Secret clearance with poly. * Master's degree with 6-10 years of expereince or Bachelor ...

Proficiency in at least one programming language - SQL, Python, or R - sufficient to write and debug code independently. Comfort in more than one is a plus, but working ability in one is required ...

Proficiency in at least one programming language - SQL, Python, or R - sufficient to write and debug code independently. Comfort in more than one is a plus, but working ability in one is required ...

Proficiency in at least one programming language - SQL, Python, or R - sufficient to write and debug code independently. Comfort in more than one is a plus, but working ability in one is required ...

Showing results 21-40

R Programming Language information

See Virginia salary details

$79.3K

$122.9K

$149.7K

How much do r programming language jobs pay per year?

As of Aug 22, 2026, the average yearly pay for r programming language in Virginia is $122,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,000.00 and $138,300.00 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.

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

The most popular types of R Programming Language jobs in Virginia are:

What are popular job titles related to R Programming Language jobs in Virginia?

For R Programming Language jobs in Virginia, the most frequently searched job titles are:

Infographic showing various R Programming Language job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 26% Part Time, 1% Temporary, and 3% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $122,936 per year, or $59.1 per hour.

Bioinformatics Full-Stack Developer

Signature Science LLC

Charlottesville, VA • On-site

$105K/yr

Full-time

Re-posted 10 days ago


Job description

Normal 0 false false false EN-US JA AR-SA
Position Purpose:
The bioinformatics full-stack developer is responsible for building and maintaining a digital bridge between frontend user-facing applications and backend bioinformatics pipelines. This position will oversee the delivery of high-quality software capable of analyzing nucleotide sequence data to produce actionable and user-friendly reports. The ideal candidate will be prepared to oversee and contribute to the development of an integrated software stack for characterization of DNA sequencing data on local hardware systems.
This position is a full-time, on-site role at the Signature Science office in Charlottesville, VA.
Essential Duties and Responsibilities:
  • Work with a team to develop and test full-stack software for analysis and interpretation of whole genome sequencing data, including front and back-end software components.
  • Implement and test data processing workflows and automated analysis pipelines. Optimize reproducible software pipelines that produce consistent, standardized results.
  • Oversee workflow bench marking and testing, identifying inconsistencies and resolving issues.
  • Contribute to management of computing hardware, operational logistics, and data warehousing.
  • Contribute to the preparation of standard operating procedures, document source code/workflows, and write reports to summarize computational requirements, processing status, and customized analysis results.
  • Communicate and interact regularly with project team members and stakeholders.

Required Knowledge, Skills & Abilities:
  • Advanced proficiency working in a Unix/Linux environment.
  • Advanced proficiency using version control software (e.g., Git) to manage programming code.
  • Advanced proficiency with C++.
  • Proficiency in developing software user interfaces.
  • Proficiency with open-source software, tools, and databases for analyzing next-generation sequencing data.
  • Proficiency with at least one programming or run-time interpreted programming language.
  • Proficiency with Continuous Integration and Continuous Deployment/Delivery (CI/CD).
  • Experience managing a development project including multiple teams.
  • Familiarity with issue and project tracking software.
  • Skilled at time and priority management.
  • Excellent written and oral communication skills.
  • Preferred: Proficiency with Python.
  • Preferred: proficiency with R, RMarkdown, and the "tidyverse" tools for data analysis.
  • Preferred: Experience with NextFlow, SnakeMake, or similar workflow/pipeline management systems.
  • Preferred: Proficiency working with and developing using containerization technology.
  • Preferred: Familiarity with AWS and/or Azure cloud computing.

Education/Experience:
  • Required: 5+ years of previous work experience in a full-stack developer role
  • Required: BS/BA in Computer Science, Software Engineering, Bioinformatics, or related field
  • Preferred: MS or PhD in Computer Science, Software Engineering, Bioinformatics, or related field
  • Preferred: Experience managing and analyzing large-scale datasets produced by DNA sequencing platforms and delivering solutions for managing, visualizing, analyzing, and interpreting genomic data

Clearance:
  • This position requires that the candidate be willing and able to complete a successful background screening for a security clearance. Candidates with a current security clearance will receive preference.

Supervisory Responsibilities:
  • Serve as a task leader within one or more projects.

Working Conditions/ Equipment:
  • Ability to work in varying conditions to include traditional office environments with extended sedentary periods required for code development and testing.