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Remote R Shiny Developer Jobs in Philadelphia, PA

Azure DevOps, Jira * Exposure to Python, R, SQL, or other programming languages This position may ... Location This role is ideally based in Seattle, Washington, but remote work within the United ...

C.A.R.E. values, which serve as our daily compass: * Urgency : We move with speed because our ... Partnering closely with Engineering, Design, and cross-functional stakeholders, the Product Manager ...

Lead Data Scientist

Chadds Ford, PA · On-site +1

$138K - $272K/yr

Python (Programming Language) * R Statistics * Statistical Analysis * Statistics * Time Series ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Product Manager

Doylestown, PA · On-site +1

$120K - $150K/yr

C.A.R.E. values, which serve as our daily compass: * Urgency : We move with speed because our ... Partnering closely with Engineering, Design, and cross-functional stakeholders, the Product Manager ...

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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 Jul 22, 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 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 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, and why are they important?

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 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 the most commonly searched types of R Shiny Developer jobs in Philadelphia, PA? The most popular types of R Shiny Developer jobs in Philadelphia, PA are:
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:
Infographic showing various Remote R Shiny Developer job openings in Philadelphia, PA 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 $103,540 per year, or $49.8 per hour.

Senior Manager, Oncology Data and AI Systems

Jj

Titusville, NJ • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

People Leader

All Job Posting Locations:

Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more athttps://www.jnj.com/innovative-medicine

Johnson & Johnson Innovative Medicine is recruiting for a Senior Manager, Oncology Data and AI Systemsto join our Data, Data Science and Artificial Intelligence team (DDSAI). This position will be located on site at one of our offices in either Spring House PA, Cambridge MA, Titusville NJ, Raritan NJ, or San Diego CA (no fully remote option available).

TheSenior Manager, Oncology Data and AI Systems will focus on building data and AI systems in Oncology R&D and support projects from across the business including Clinical, Pre-Clinical, Real World Data (RWD) and 'omics platforms.

Key Responsibilities:

  • Serve as both a people leader and a hands-on contributor accountable for the end-to-end design, development, and operation of scalable, AI-enabled data products supporting Oncology R&D.
  • Drive integration of diverse data sources (e.g., biomarker labs, real-world data, pre-clinical and translational systems) into high-quality, reusable, AI-ready assets.
  • Partner closely with Oncology R&D and Data Science stakeholders to shape, prioritize, and deliver against business-critical use cases. Translate complex scientific and operational needs into robust data products and AI systems that accelerate decision-making, improve study execution, and enhance probability of success.
  • Collaborate with domain experts, such as Ontology, Knowledge graph, and Data Product Engineers to design and deliver future-proof, AI-ready data systems aligned with Oncology Strategy. Ensure solutions enable discoverability, reuse, and advanced analytics/GenAI applications.
  • Implement standard enterprise-level data models and create new data models as needed.
  • Leverage cloud-based technology platforms to accomplish data and AI goals.
  • Lead the design and optimization of data pipelines and AI workflows for structured and unstructured data using technologies such as Python, SQL, AWS services and other relevant tools.Mentor and on-board new team members.
  • Implement quality and performance standards and measure Key Performance Indicators (KPIs) to determine accuracy and consistency.
  • Lead team in the development of Agile practices and agentic AI coding tools.
  • Act as a thought leader across Data Science, Engineering, and Oncology domains, ensuring alignment with broader data product strategy and avoiding duplication through reuse and standardization.

Required Qualifications:

  • Advanced degree (Master's or equivalent) in Computer Science, Engineering, Life Sciences, or other relevant field is strongly preferred. (Bachelor's Degree with experience equivalency may be considered).
  • 6+ years of experience in data engineering, including data modeling and database design, preferably in the healthcare industry.
  • Proficiency in agentic AI coding tools, e.g. Claude Code, Codex, etc.
  • Proficiency in data engineering tools such as Python and SQL for data processing as well as cloud architecture (e.g. AWS services, Redshift, FSx, Glue, Lambda.)
  • Experience with unstructured database technologies (e.g. NoSQL) as well as other database types (e.g. Graph).
  • Strong skills in analysis, problem-solving, organizational change, project delivery, and managing external vendors. Proven record leading improvement initiatives with multi-disciplinary and remote partners. Demonstrated stakeholder management capabilities- including requirements gathering, business analysis and planning. Must have the capacity to translate discussions into user requirements and project plans.
  • Ability to manage numerous projects simultaneously, prioritize work, exhibit organizational skills and flexibility to deliver maximum business value.
  • Willingness to conduct periodic travel (<15% of time) to conferences and internal meetings.

Preferred Qualifications:

  • Experience building Model Context Protocol (MCP) servers.
  • Exposure to high dimensional data technologies and handling, including genomics and imaging.
  • Familiarity with machine learning operations (MLOps) and model deployment.
  • Experience with healthcare data standards (e.g. CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM).


This position will be located on site at one of our campuses in either Spring House PA, Cambridge MA, Titusville NJ, Raritan NJ, or San Diego, CA (no fully remote option available). Occasional travel for crossfunctional workshops, design sessions, and team meetings may be required.
Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.
The anticipated base pay range for this position is $137,000 to $235,750. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).

Employees are eligible for the following time off benefits:
Vacation - up to 120 hours per calendar year
Sick time - up to 40 hours per calendar year
Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year
Additional information can be found through the link below.https://www.careers.jnj.com/employee-benefits

The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.


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#JNJDataScience
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Required Skills:

Preferred Skills:

Advanced Analytics, Budget Management, Compliance Management, Critical Thinking, Cross-Functional Collaboration, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Strategic Thinking, Team Management