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Freelance R Shiny Developer Jobs in California (NOW HIRING)

Walmart

Manager, Advanced Analytics

San Bruno, CA

... R Shiny, and/or Looker * You can work effectively with internal stakeholders, including data scientists and data engineers * You are curious, proactive, and comfortable working in unstructured ...

G2 Ops, Inc.

Senior Systems Engineer

El Segundo, CA · On-site

$130K/yr

We are seeking expertise in R&M and MSEIT such as: * Demonstrated understanding of R&M practices ... You will have a shiny desk at our G2 Ops office, plus the opportunity to work at a military site ...

Apple

Services Finance, Data Scientist

Cupertino, CA · On-site

... audiencesStrong programming proficiency in Python or R, with demonstrated experience using AI ... Experience with interactive visualization tools and report generation frameworks such as Shiny ...

Earli, Inc.

Senior Scientist, Bio AI

Redwood City, CA

$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 ...

Fender

Art Director

Los Angeles, CA · On-site

$130.40K - $136.80K/yr

... freelancers. The role combines strategic thinking with polished execution, creating engaging ... It requires knowledge of visual design trends; engineering and development processes; oversight of ...

Fender

Art Director

Los Angeles, CA · Hybrid

$130.40K - $136.80K/yr

... freelancers. The role combines strategic thinking with polished execution, creating engaging ... It requires knowledge of visual design trends; engineering and development processes; oversight of ...

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Freelance R Shiny Developer information

What are the key skills and qualifications needed to thrive as a Freelance R Shiny Developer, and why are they important?

To thrive as a Freelance R Shiny Developer, you need strong proficiency in R programming, Shiny app development, and a solid understanding of data analysis or statistics, often supported by a degree in a quantitative field. Familiarity with version control systems (like Git), cloud deployment platforms, and knowledge of relevant R packages are typically required. Excellent problem-solving, communication, and client management skills set successful freelancers apart. These skills and qualities are essential for delivering effective, user-friendly applications and maintaining strong client relationships in a competitive freelance market.

What are some common challenges faced by freelance R Shiny developers when working with clients remotely?

Freelance R Shiny developers often encounter challenges such as clearly understanding client requirements, managing communication across different time zones, and ensuring that the application meets both technical and business needs. Since projects are typically remote, it is important to establish regular check-ins, use collaborative tools for feedback, and maintain thorough documentation. Additionally, balancing multiple projects and staying updated on the latest R Shiny features can be demanding, but these practices help ensure successful project delivery and client satisfaction.

What are Freelance R Shiny Developers?

Freelance R Shiny Developers are independent professionals who design, build, and maintain interactive web applications using R and the Shiny framework. They typically work on a contract or project basis for various clients, helping to transform data analysis and statistical models into user-friendly dashboards and tools. Their responsibilities may include data visualization, UI/UX design, deploying Shiny apps, and integrating them with other technologies. Since they work freelance, they often manage multiple projects and clients simultaneously, offering flexibility and specialized expertise.

What is the difference between Freelance R Shiny Developer vs Data Analyst?

AspectFreelance R Shiny DeveloperData Analyst
Required SkillsProficiency in R, Shiny, web app developmentData manipulation, visualization, statistical analysis
Work EnvironmentIndependent, project-based, remote or on-siteCorporate or organizational settings, often full-time
CertificationsR programming, Shiny development experienceData analysis, statistics, or related certifications
Industry UsageTech, healthcare, finance, research projectsBusiness intelligence, market research, reporting

While both roles involve working with data, a Freelance R Shiny Developer specializes in creating interactive web applications using R and Shiny, often on a project basis. A Data Analyst focuses on interpreting data, generating reports, and providing insights within organizations. The developer role emphasizes technical web app skills, whereas the analyst role centers on data interpretation and communication.

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 are popular job titles related to Freelance R Shiny Developer jobs in California? For Freelance R Shiny Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Freelance R Shiny Developer jobs in California look for? The top searched job categories for Freelance R Shiny Developer jobs in California are:
What cities in California are hiring for Freelance R Shiny Developer jobs? Cities in California with the most Freelance R Shiny Developer job openings:
Freelance R Shiny Developer jobs near you
Infographic showing various Freelance R Shiny Developer job openings in California as of May 2026, with employment types broken down into 40% Internship, 40% Full Time, and 20% Part Time. Highlights an 40% In-person, and 60% Remote job distribution.
Principal Statistical Programmer SAS, R, R Shiny

Principal Statistical Programmer SAS, R, R Shiny

Shimento, Inc.

Vacaville, CA • Hybrid

Other

Posted 9 days ago

Job description

Data Application for Pharma Process Engineering

Duration: 6 - 12 months/Onsite role / Hybrid is likely okay, but final decision is with Manager

Location – Vacaville, CA

Role: Data Engineer & Software Developer

Tools & Technologies: SQL, Oracle DB, R (Shiny), C#, React

Domain: Pharmaceutical / Process Engineering

Overview:

Led the development of a data-driven application to support process engineering activities in a pharmaceutical setting. The project focused on building robust data pipelines and interactive dashboards to monitor and visualize process flow data, integrating engineering tools and pharma-specific requirements.

Key Responsibilities:

•           Designed and implemented end-to-end data pipelines to extract, transform, and load (ETL) data from Oracle databases using SQL.

•           Built interactive data applications using R (Shiny) and C#, enabling engineers to analyze and visualize production metrics.

•           Collaborated closely with process engineers to digitize and represent process flow diagrams, including tank-level monitoring and real-time process data integration.

•           Developed web-based tools using React for visualizing complex system interactions and process flow.

•           Ensured data integrity and scalability for pharma-grade applications, complying with relevant quality standards.

•           Contributed to 80% of the data engineering workload, interfacing with software development and pharma process optimization.

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