ZipRecruiter

Log In

2

Remote R Shiny Developer Jobs in Philadelphia, PA

Devereux

Cash Posting Specialist

Villanova, PA · On-site +1

$47K - $55K/yr

Overview Remote Cash Posting Specialist Starting at $47,000 up to $55,000/year depending on ... Partner with Treasury, A/R, and Centers to identify payments and resolve account issues * Notify ...

New

TechData Service Company LLC

Be Seen First

Remote Statistician-Real World Evidence (RWE)

King Of Prussia, PA · Remote

$100K - $160K/yr

... programming languages/software such as SAS and/or R · Able to work in a virtual environment · Teamwork and leadership skills · Technical expertise and application with working knowledge of ...

previous pagenext page

Showing results 21-40

All JobsR Shiny Developer JobsRemote R Shiny Developer JobsRemote R Shiny Developer Jobs in Philadelphia, PA

Remote R Shiny Developer information

See Philadelphia, PA salary details

$14

$49

$89

How much do remote r shiny developer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for remote r shiny developer in Philadelphia, PA is $49.78, according to ZipRecruiter salary data. Most workers in this role earn between $26.68 and $67.93 per hour, depending on experience, location, and employer.

What is a remote R Shiny developer?

A Remote R Shiny Developer is a software professional who specializes in building interactive web applications using the R programming language and the Shiny package, while working from a location outside of a traditional office setting. These developers are responsible for designing, coding, and maintaining Shiny apps that allow users to visualize and analyze data interactively. They often collaborate with data scientists, analysts, and business stakeholders to deliver solutions for data-driven decision making. Remote R Shiny Developers need strong skills in R programming, web development, and communication tools to work effectively in distributed teams.

What are the key skills and qualifications needed to thrive as a remote R Shiny developer?

To thrive as a Remote R Shiny Developer, you need strong proficiency in R programming, data visualization, and experience building interactive web applications with Shiny, often supported by a degree in computer science, statistics, or a related field. Familiarity with version control systems like Git, deployment tools such as Shiny Server or Docker, and knowledge of SQL databases are commonly required. Excellent problem-solving, communication, and self-motivation skills help you collaborate effectively in remote teams and deliver user-focused solutions. These skills ensure robust, maintainable applications and smooth teamwork in a distributed work environment.

What are some common challenges faced by remote R Shiny developers when collaborating with distributed teams?

Remote R Shiny Developers often encounter challenges such as coordinating across different time zones, ensuring clear communication regarding project requirements, and maintaining code consistency within a collaborative environment. To address these, teams typically rely on regular virtual meetings, shared documentation, and version control systems like Git. Building strong communication skills and being proactive in providing updates can help streamline teamwork and reduce misunderstandings, ultimately leading to more efficient project delivery.

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

AspectRemote R Shiny DeveloperData Analyst
Required SkillsProficiency in R, Shiny, data visualization, web app developmentData manipulation, statistical analysis, Excel, SQL
Work EnvironmentRemote, project-based, software development teamsRemote or on-site, business intelligence teams
Industry UsageTech, healthcare, finance, researchFinance, marketing, healthcare, consulting

Remote R Shiny Developers focus on building interactive web applications using R and Shiny, often working in software or tech environments. Data Analysts analyze data sets to generate insights, typically using statistical tools and visualization software. While both roles may work remotely and require analytical skills, R Shiny Developers specialize in app development, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Remote R Shiny Developer jobs in Philadelphia, PA?

For Remote R Shiny Developer jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Remote R Shiny Developer jobs in Philadelphia, PA look for?

The top searched job categories for Remote R Shiny Developer jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Remote R Shiny Developer jobs?

Cities near Philadelphia, PA with the most Remote R Shiny Developer job openings:

Remote R Shiny Developer jobs near you
Infographic showing various Remote R Shiny Developer job openings in Philadelphia, PA as of August 2026, with employment types broken down into 77% Full Time, 11% Part Time, 2% Temporary, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $103,540 per year, or $49.8 per hour.

Quantitative Research Analyst - Remote

Stevens Capital Management LP

Radnor, PA • On-site, Remote

$150K - $300K/yr

Full-time

Medical, Dental, Retirement

Re-posted 14 days ago

Job description

SCM is committed to a workplace that values and promotes diversity, inclusion and equal employment opportunity by ensuring that all employees are valued, heard, engaged and involved at work and have full opportunities to collaborate, contribute and grow professionally.
We are currently seeking a highly driven, well organized, and motivated candidate to join our team. SCM offers the opportunity to work in person, remotely or in a hybrid work environment.
Primary Responsibilities:
  • Utilize your analytical and quantitative skills, market knowledge and intuition to develop and implement automated statistical trading models.
  • Participate in all aspects of research and trading model development, including generating research ideas, building and analyzing data sets, conducting statistical data analysis and implementing quantitative production trading models.

Requirements:
  • A bachelors or advanced degree in a field providing a background in advanced statistical analysis of large data sets (includes, but is not limited to, economics, finance, statistics, mathematics or computer science).
  • Programming experience, ideally including R, C++ and/or Python.
  • Strong working knowledge of regression, time series analysis and other statistical techniques.
  • Experience building, organizing and analyzing large data sets is preferred.
  • The ability to comprehend and synthesize academic literature in finance, economics and statistics.
  • Strong financial market interest.
  • The ability to simplify and effectively communicate complex concepts.

The base pay for this position is anticipated to be between $150,000 and $300,000 per year. The anticipated annual base pay range is current as of the time this job post was generated. This position is eligible for other forms of compensation and benefits, such as a bonus, health and dental plans and 401(k) contributions, which includes a discretionary profit sharing program. An employee's bonus and related compensation benefits can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.

Apply