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Remote R Shiny Developer Jobs in New York, NY (NOW HIRING)

BluZinc

AI Architect Claude Code Senior Developer

NY · On-site +1

$160K - $220K/yr

AI Architect, US-Based (Remote) to build AI systems that work in production - not demos, not ... not shiny YouTube summaries Can deliver an actionable, measurable improvement within 48 hours Red ...

BEOVEXIS

Junior Data Analyst (Remote)

New York, NY · Remote

About the job Juni or Data Analyst (Remote) As the Data Analyst for the Security Analytics ... Experience with programming languages such as Python, R Studio, SQL * Familiarity in working with ...

Teambuilder

Senior Development Engineer

Manhattan, NY · Remote

$125K - $165K/yr

This role is FULLY REMOTE, though you MUST reside within the United States and be legally ... Advanced understanding of and ability to effectively use Git to manage code in a multi-developer ...

Next Generation, Inc.

GIS Analyst/Engineer

New York, NY · On-site +1

$80 - $120/hr

This position is hybrid, with up to one remote day per week. Job Responsibilities: * Develop ... Strong programming and analytical skills (Python, SQL, R, or Java). * Expertise in database design ...

3ds

Senior Training Specialist (Remote)

New York, NY · On-site +1

... Engineering teams. * Change Management: Guide clinical trial sites and sponsors through the ... Remote Equal Employment Opportunity : In order to provide equal employment and advancement ...

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Remote R Shiny Developer information

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$15

$53

$97

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

As of Jul 24, 2026, the average hourly pay for remote r shiny developer in New York, NY is $53.97, according to ZipRecruiter salary data. Most workers in this role earn between $28.94 and $73.65 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 New York, NY? The most popular types of R Shiny Developer jobs in New York, NY are:
What are popular job titles related to Remote R Shiny Developer jobs in New York, NY? For Remote R Shiny Developer jobs in New York, NY, the most frequently searched job titles are:
What job categories do people searching Remote R Shiny Developer jobs in New York, NY look for? The top searched job categories for Remote R Shiny Developer jobs in New York, NY are:
Remote R Shiny Developer jobs near you
Infographic showing various Remote R Shiny Developer job openings in New York, NY as of July 2026, with employment types broken down into 82% Full Time, 6% Part Time, 1% Temporary, and 11% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $112,256 per year, or $54 per hour.
Senior Clinical Programmer - SDTM and R/SAS 3635027

Senior Clinical Programmer - SDTM and R/SAS 3635027

Axiom Path

Bridgewater, NJ • Remote

$75 - $80/hr

Full-time

Posted 9 days ago

Job description

Be Part Of A High-Performing Team:

Join a growing clinical programming function within a science-driven biopharmaceutical organization developing therapies for patients with serious and rare diseases. This newly established team is bringing critical SDTM programming capabilities in-house and works closely with data management, biostatistics, and statistical programming. The environment is collaborative, technically rigorous, and well suited to an experienced programmer who enjoys building reliable clinical-data solutions while helping shape new internal processes.

What's In Store For You:

Engagement: W2 only (no C2C/1099)

This is a fully remote, 12-month consulting assignment open to candidates located anywhere in the United States. Availability during Eastern Time business hours is preferred.

The role offers the opportunity to become one of the early members of a growing clinical programming team and contribute directly to the organization’s transition from outsourced SDTM programming to an internal delivery model. A contract extension may be possible based on performance and business needs, although permanent conversion is not currently planned.

How You Will Make An Impact:

  • Create production-quality SDTM datasets using both SAS and R.
  • Independently perform quality control and validation of SDTM datasets.
  • Develop dataset specifications using CDISC standards and current SDTM Implementation Guides.
  • Create annotated CRFs, including domain mappings, annotation boxes, controlled terminology, and page-level placement.
  • Apply existing team macros and programming utilities to support annotated CRF and SDTM production.
  • Develop SAS- and R-based listings and reports supporting medical monitoring, clinical data management, and statistical endpoint monitoring.
  • Perform clinical-data checks, reconciliations, and issue investigation as assigned.
  • Collaborate closely with data managers, biostatisticians, statistical programmers, and clinical-study stakeholders.
  • Help establish scalable internal standards, workflows, and quality practices as SDTM programming transitions in-house.
  • Manage multiple study deliverables independently while maintaining accuracy, traceability, and timely execution.

Do you bring proven success in SDTM programming with both SAS and R?

  • Approximately 8–10 years of hands-on clinical programming experience in pharmaceutical, biotechnology, CRO, or related regulated clinical environments.
  • Strong production programming proficiency in both SAS and R.
  • Demonstrated experience creating and independently quality-checking SDTM datasets.
  • Strong knowledge of CDISC standards and current SDTM Implementation Guides.
  • Hands-on experience creating annotated CRFs, including page-level annotations and terminology mapping.
  • Ability to use established macros, functions, and programming utilities.
  • Experience translating raw clinical data, CRFs, specifications, and programming standards into compliant SDTM deliverables.
  • Strong analytical, troubleshooting, documentation, and quality-control skills.
  • Ability to work independently as an individual contributor in a small and evolving team.
  • Strong written and verbal communication skills.
  • Experience with JReview is highly preferred.
  • Experience with Shiny, Pharmaverse, or R Markdown is highly desirable.
  • Exposure to SQL programming is preferred.
  • Experience supporting medical monitoring, data-management reports, reconciliations, or statistical endpoint monitoring is beneficial.

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