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R Shiny Developer Jobs in California (NOW HIRING)

DevOps Engineer

Pleasanton, CA · On-site

$58.50 - $80.25/hr

Title : DevOps Engineer # of Openings : 1 Position Type : Contract Location : Pleasanton, CA ... Specific knowledge of and experience developing R/Shiny applications * Knowledge or usage of Shiny ...

Senior Data Analyst

Fremont, CA · On-site

$94K - $119K/yr

... R-ShinyProgramming experience using Python • Data Science experience using advanced Client techniques • Advanced knowledge of SQL • Project management experience • Experience in home ...

$62K - $63K/yr

Proficiency in at least one statistical programming language such as R or Python, along with ... Experience developing interactive data visualization tools, for example R Shiny, for multiomics ...

Senior Scientist, Bio AI

Redwood City, CA · On-site

$205K - $235K/yr

Shiny apps) for routine data analysis (e.g. RNAseq profiling) for team members * Perform routine ... GCP) with appropriate engineering adaptations as needed. Help develop and work within budgets for ...

Shiny apps) for routine data analysis (e.g. RNAseq profiling) for team members • Perform routine ... GCP) with appropriate engineering adaptations as needed. Help develop and work within budgets for ...

Senior Scientist, Bio AI

Redwood City, CA · On-site

$112K - $153K/yr

Shiny apps) for routine data analysis (e.g. RNAseq profiling) for team members • Perform routine ... GCP) with appropriate engineering adaptations as needed. Help develop and work within budgets for ...

Senior Scientist, Bio AI

Redwood City, CA · On-site

$112K - $153K/yr

Shiny apps) for routine data analysis (e.g. RNAseq profiling) for team members * Perform routine ... GCP) with appropriate engineering adaptations as needed. Help develop and work within budgets for ...

R Shiny Developer information

See California salary details

$13

$48

$87

How much do r shiny developer jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for r shiny developer in California is $48.68, according to ZipRecruiter salary data. Most workers in this role earn between $26.11 and $66.44 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 are the most commonly searched types of R Shiny Developer jobs in California? The most popular types of R Shiny Developer jobs in California are:
What job categories do people searching R Shiny Developer jobs in California look for? The top searched job categories for R Shiny Developer jobs in California are:
Infographic showing various R Shiny Developer job openings in California as of July 2026, with employment types broken down into 82% Full Time, 6% Part Time, 1% Temporary, and 11% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $101,264 per year, or $48.7 per hour.

SAS Clinical And R Programmer

IT ENGAGEMENTS, INC.

San Francisco, CA • On-site

Other

Posted 5 days ago


Job description

Greetings from IT Engagements
IT Engagements is a global staff augmentation firm providing a wide-range of talent on-demand and total workforce solutions. We have an immediate opening for the below position with one of our premium clients.
Job Summary
Job Title: SAS Clinical and R programmer (W2 Contract role)
Location: Remote
Duration: Long Term
We are seeking a SAS Clinical and R programmer . Please apply for an immediate interview.
Requirements:
  • Under moderate guidance, designs, develops, evaluates and modifies SAS and R macros to analyze and evaluate clinical data.
  • Create new R Dashboards using R Shiny.
  • Plans, writes and executes statistical programs in SAS and R designed to analyze data from database.
  • Produces tables, listings and figures. Assesses data accuracy and consistency.
  • Applies extensive knowledge and skills, may act as lead programmer on project team(s).
  • Worked hands-on different R packages
  • Develop SAS macros and then compare with R programming
  • Part of migration activities from SAS in to R
  • Compare SAS and R functions like Transpose, Sort, Groupby, Arrange, Sequence,Slice etc.
  • Worked on different kinds of file types like .CSV, excel, delimited etc
  • Used Variety of Parameters for creating dashboards in R
  • Validate packages in R
  • Publishing R dashboards
  • Validates and documents SAS macro library.
  • May supervise one or two lower level programmers assigned to project and/or may provide performance feedback in review of others..
  • Explores new programming technology. Tests, documents and integrates software tools into programming procedures.
  • Troubleshoots and resolves difficult problems in creative ways, and takes a new perspective on existing solutions, exploring and implementing new concepts and methodologies.
  • Translates technical knowledge into business strategy.
  • Leads internal/external teams and builds professional relationships
Thankyou
Divya