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R Shiny Jobs (NOW HIRING)

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

R experience using tidyverse, tidymodels, ggplot2, Shiny, or equivalent packages. * SQL experience for querying, joining, filtering, and preparing datasets. * Tableau, Power BI, R Shiny, or similar ...

ATAC

Aviation Programmer Analyst

Santa Clara, CA · On-site

$90K - $110K/yr

Experience building R Shiny and Tableau dashboards * Experience using Oracle and PostgreSQL databases to retrieve, process, and store data * Experience working in Windows and Unix/Linux environments

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

R experience using tidyverse, tidymodels, ggplot2, Shiny, or equivalent packages. * SQL experience for querying, joining, filtering, and preparing datasets. * Tableau, Power BI, R Shiny, or similar ...

Goldbelt, Inc.

Bioinformatician

Atlanta, GA

Work with and/or develop dashboarding tools, including Power BI, Tableau, and R Shiny, to manage and visualize laboratory and epidemiological data * Submit monthly progress report, detailing ...

Fladger Associates

Scientist III

Ridgefield, CT · On-site

Fluency in contemporary data visualization methods like R Shiny, D3 * Data Integration: Analyzing diverse datasets (multi-omics) to find relevant drug discovery targets and downstream effects ...

Aequor

Data Scientist

Basking Ridge, NJ · Hybrid

Minimum of 5 years' experience of coding in Python, R / R Shiny leveraging data science libraries Strong experience in building supervised and unsupervised machine learning methods and deploying them ...

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How much do r shiny jobs pay per year?

As of Jun 7, 2026, the average yearly pay for r shiny in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the R Shiny position, and why are they important?

To thrive as an R Shiny Developer, you need strong proficiency in R programming, Shiny framework development, and experience in data visualization and analysis. Familiarity with additional tools such as JavaScript, HTML, CSS, and Git, along with certifications in data science or programming, is highly beneficial. Effective problem-solving, communication skills, and a collaborative mindset are important soft skills in this role. These qualifications enable you to efficiently create interactive data applications, work seamlessly with cross-functional teams, and deliver valuable insights to stakeholders.

What is an R Shiny job?

An R Shiny job typically involves developing interactive web applications using the Shiny package in R. Professionals in this role design user interfaces, build server logic, and integrate data visualization tools to create dynamic dashboards. These applications are used in industries such as healthcare, finance, and research to analyze and present data in an accessible way. Strong proficiency in R, Shiny, and web technologies like HTML, CSS, and JavaScript is often required.

What are some typical responsibilities of an R Shiny Developer on a data science team?

As an R Shiny Developer, your primary responsibilities often include designing, developing, and maintaining interactive web applications using R and Shiny to visualize and share data analytics results. You'll work closely with data scientists, analysts, and business stakeholders to understand requirements and translate complex data into user-friendly, actionable dashboards. The role may also involve optimizing app performance, integrating new features based on user feedback, and ensuring best practices for code quality and data security. Collaboration and clear communication are key, as you may contribute to multidisciplinary projects and offer support or training to end-users.

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What cities are hiring for R Shiny jobs? Cities with the most R Shiny job openings:
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R Shiny jobs near you
Infographic showing various R Shiny job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 87% Full Time, and 12% Part Time. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Junior Data Scientist

Junior Data Scientist

AITHERAS, LLC

Arlington, VA • On-site

$100K - $120K/yr

Full-time

Posted 16 days ago

Job description

Junior Data Scientist / Performance Data Analyst I
Location: Washington, DC / Hybrid / Government Facility as Required
Clearance / Background: U.S. Citizen required; ability to obtain DOJ Public Trust and Secret clearance; active Secret preferred
Experience Level: 1-3 years
Role Summary
The Junior Data Scientist / Performance Data Analyst I supports a federal Management Information System program by helping collect, clean, validate, analyze, and visualize operational and performance data.
This role is ideal for an early-career data scientist with strong Python, R, SQL, Tableau, machine learning, NLP, and statistical analysis skills who is ready to progress from research, healthcare, or academic data work into federal mission analytics.
Key Responsibilities
  • Collect, clean, validate, and analyze structured and semi-structured program data.
  • Build SQL, Python, and R scripts to extract data, run calculations, automate recurring analysis, and reduce manual reporting effort.
  • Develop and maintain Tableau dashboards, visual reports, charts, and performance summaries.
  • Support data quality reviews by identifying anomalies, missing values, inconsistent records, and reporting defects.
  • Assist senior analysts with statistical modeling, machine learning, trend analysis, and performance measurement.
  • Translate complex datasets into clear summaries for non-technical stakeholders.
  • Document data sources, business rules, transformation logic, assumptions, and analytical methods.
  • Support recurring weekly, monthly, quarterly, and ad hoc reporting requirements.
  • Review model outputs and error patterns to recommend improvements to analytical workflows.
  • Collaborate with senior data scientists, program analysts, project managers, and government stakeholders.
Required Qualifications
  • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Information Systems, Neuroscience, Public Health Analytics, or a related quantitative field.
  • 1-3 years of data science, data analytics, research analytics, BI, or machine learning project experience.
  • Hands-on Python experience using pandas, NumPy, scikit-learn, matplotlib, spaCy, Keras, or similar libraries.
  • R experience using tidyverse, tidymodels, ggplot2, Shiny, or equivalent packages.
  • SQL experience for querying, joining, filtering, and preparing datasets.
  • Tableau, Power BI, R Shiny, or similar dashboard/data visualization experience.
  • Experience with machine learning classification, NLP, model evaluation, or predictive analytics.
  • Ability to inspect model errors, validate outputs, and communicate improvement opportunities.
  • Strong Excel and Microsoft Office skills.
  • Ability to explain technical findings to non-technical stakeholders.
  • U.S. citizenship and ability to obtain required federal suitability/clearance.
Preferred Qualifications
  • Active Secret clearance or prior federal suitability.
  • Experience with federal, public sector, law enforcement, financial, healthcare, biomedical, or large statistical datasets.
  • Experience supporting performance metrics, KPI reporting, operational reporting, or program evaluation.
  • Experience building client-facing dashboards or interactive data applications.
  • Experience with BERT, NLP, unstructured text, topic segmentation, or terminology data.
  • Familiarity with data governance, data privacy, PII handling, CUI, or secure data environments.
  • AWS, Git, Jupyter Notebook, or cloud analytics exposure.
Tools / Technologies
Python, R, SQL, Tableau, Excel, Jupyter Notebook, Git, AWS, pandas, NumPy, scikit-learn, spaCy, Keras, tidyverse, tidymodels, ggplot2, Shiny, NLP, BERT, dashboards, data visualization, statistical modeling.

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