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R Shiny Developer Jobs (NOW HIRING)

They are seeking a Bioinformatics Engineer to join their team supporting major pharmaceutical ... R Shiny, Plotly, custom dashboards) • Experience in pharmaceutical, biotech, or regulated ...

Python, R/Shiny, Tableau, Power BI * Experience with SQL and other modern data storage technologies ... Fluent in SQL * Ability to work independently with minimal Engineering support * Extensive ...

... programming and computational skills; gain interest in statistical methodology research; and acquire extensive experience in R, R Shiny, and React. ELIGIBILITY REQUIREMENTS We seek a highly motivated ...

... programming and computational skills; gain interest in statistical methodology research; and acquire extensive experience in R, R Shiny, and React. ELIGIBILITY REQUIREMENTS We seek a highly motivated ...

... programming and computational skills; gain interest in statistical methodology research; and acquire extensive experience in R, R Shiny, and React. ELIGIBILITY REQUIREMENTS We seek a highly motivated ...

... R Shiny. Research, design, and implement algorithms to solve complex problems. Program using R, Python (NumPy, SciPy, Pandas) or similar analytical languages. Perform data engineering, data ...

Data Scientist

$95K - $110K/yr

R Shiny, Tableau, D3), web programming languages (e.g. HTML, CSS, JavaScript), and general programming languages (e.g. C, C++, Java) is a plus. * Knowledge of sports, concert, or ticketing industries ...

With experts in biomedical science, software engineering, and program management, we focus on ... Knowledge of data visualization tools and frameworks (e.g., R Shiny, Plotly, custom dashboards)

With experts in biomedical science, software engineering, and program management, we focus on ... Knowledge of data visualization tools and frameworks (e.g., R Shiny, Plotly, custom dashboards)

... R Shiny. Research, design, and implement algorithms to solve complex problems. Program using R, Python (NumPy, SciPy, Pandas) or similar analytical languages. Perform data engineering, data ...

Senior Data Scientist

$120K - $140K/yr

R Shiny, Tableau, D3), web programming languages (e.g. HTML, CSS, JavaScript), and general programming languages (e.g. C, C++, Java) is a plus. * Knowledge of sports, concert, or ticketing industries ...

With experts in biomedical science, software engineering, and program management, we focus on ... Knowledge of data visualization tools and frameworks (e.g., R Shiny, Plotly, custom dashboards)

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R Shiny Developer information

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How much do r shiny developer jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for r shiny 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 are the most common challenges faced by R Shiny Developers, and how are they addressed in the workplace?

R Shiny Developers often encounter challenges such as optimizing app performance with large datasets, ensuring cross-browser compatibility, and balancing feature-rich functionality with ease of use. Teams typically support developers through code reviews, collaborative problem-solving sessions, and access to best practice documentation or established Shiny frameworks. Employers may also encourage ongoing learning through training or attendance at data science meetups, ensuring developers stay up to date with the latest tools and techniques. Addressing these challenges effectively helps deliver robust, high-impact applications that empower data-driven decisions.

What is an R Shiny Developer job?

An R Shiny Developer is responsible for building interactive web applications using R and the Shiny framework. They design, develop, and optimize dashboards or tools to visualize and analyze data dynamically. This role often requires expertise in R programming, data manipulation, UI/UX design, and deploying Shiny apps. R Shiny Developers commonly work with data scientists and analysts to translate data insights into user-friendly applications.

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

To thrive as an R Shiny Developer, you need strong programming skills in R and Shiny, a solid understanding of data analysis, and a relevant degree in computer science, statistics, or a similar field. Familiarity with version control systems like Git, experience deploying Shiny apps on cloud platforms, and knowledge of UI/UX best practices are highly valued. Excellent problem-solving abilities, clear communication, and a collaborative mindset set top candidates apart. These skills are essential for building effective, user-friendly data applications that meet business and user requirements in a team environment.

What cities are hiring for R Shiny Developer jobs? Cities with the most R Shiny Developer job openings:
What are the most commonly searched types of R Shiny Developer jobs? The most popular types of R Shiny Developer jobs are:
What states have the most R Shiny Developer jobs? States with the most job openings for R Shiny Developer jobs include:
What job categories do people searching R Shiny Developer jobs look for? The top searched job categories for R Shiny Developer jobs are:
Infographic showing various R Shiny Developer job openings in the United States as of July 2026, with employment types broken down into 2% Internship, 73% Full Time, 7% Part Time, and 18% Contract. Highlights an 64% In-person, 2% Hybrid, and 34% Remote job distribution, with an average salary of $102,607 per year, or $49.3 per hour.
Operations Research Analyst with Security Clearance

Operations Research Analyst with Security Clearance

MANTECH

Tampa, FL • On-site

$93K - $110K/yr

Other

Re-posted 3 days ago


ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

30th of 209 rated software companies


Job description

MANTECH seeks a motivated, career and customer-oriented Operations Research Analyst to join our team in Tampa, FL. The Operations Research Analyst will leverage their strong technical background and knowledge to introduce quantitative and qualitative analysis to the decision-making processes by developing and applying probability models, statistical inference, simulations, optimizations, and economic models. Responsibilities include but are not limited to: * Using statistical analysis, simulations, predictive modeling, and other methods to analyze information in support of USSOCOM processes and decision-making.
* Employing analytic and operational design methodologies to frame complex problems to help senior military and civilian leaders develop solutions and strategies.
* Providing analytical support involving mathematical modeling, statistical methods, and operational mathematics techniques such as game theory and probability theory.
* Transforming raw data into information and recommendations by gathering and identifying data variables within models using qualitative and quantitative tests.
* Researching, designing, and implementing algorithms to solve complex problems while programming in R, Python, or similar analytical languages.
* Using frameworks such as Spark and Hadoop to conduct large-scale data processing and creating data visualizations using Tableau, Power BI, or R Shiny.
* Applying systems thinking and value-focused thinking to facilitate clear force employment and resourcing decisions across tactical, operational, and strategic levels.
* Conducting and supporting studies, war-games, and modeling efforts to assist decision makers in framing and solving complex problems.
* Refining and developing methods to display data and findings to facilitate senior leaders quickly grasping key findings from analytic work. Minimum Qualifications: * Master's Degree in Operations Research, Applied Mathematics, Industrial Engineering, Statistics, or related math discipline; OR a Bachelor's Degree in the same fields with 4 years of experience in Operations Research and Analysis in military matters.
* 5+ years of experience preparing written products for senior leader use and communicating at all levels in a highly professional manner.
* Experience conducting both quantitative and qualitative analysis and applying scientific methodology to discover and frame relevant problems.
* Proficiency in programming using R or Python (NumPy, SciPy, Pandas) and using data visualization tools. Preferred Qualifications: * Experience with the Sponsor's primary cyber risk and compliance automation tools. Clearance Requirements: * An active Secret clearance is required with the ability to obtain and maintain TS/SCI Physical Requirements: * Must be able to remain in a stationary position 50%.
* Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
* Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.
* Must be able to exchange accurate information in these situations.

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