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R Shiny Remote Jobs (NOW HIRING)

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R Shiny Remote information

See salary details

$37.5K

$122.7K

$196.5K

How much do r shiny remote jobs pay per year?

As of Jul 18, 2026, the average yearly pay for r shiny remote in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are R Shiny remote jobs?

R Shiny remote jobs involve developing, deploying, and maintaining interactive web applications built with the R Shiny framework, while working from a remote location. These roles typically require strong skills in R programming, data visualization, and web development. Remote R Shiny developers collaborate with teams virtually, contributing to data-driven projects across industries such as healthcare, finance, and research. Common responsibilities include building dashboards, integrating APIs, and optimizing user interfaces for clients or internal stakeholders.

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

AspectR Shiny RemoteData Analyst
Required credentialsBachelor's in Data Science, Statistics, or related field; proficiency in R and ShinyBachelor's or higher in Data Science, Statistics, or related field; strong analytical skills
Work environmentRemote, often project-based or contract rolesTypically office-based or hybrid; some remote options
Industry usageTech, finance, healthcare, and research sectorsBusiness, finance, healthcare, marketing
Common search intentRemote R Shiny developer jobsData analyst roles with remote options

R Shiny Remote professionals focus on developing interactive web applications using R in a remote setting, often requiring coding and deployment skills. Data Analysts analyze data to generate insights, sometimes using R but with broader responsibilities. While both roles may overlap in data handling, R Shiny Remote roles emphasize application development, whereas Data Analysts focus on data interpretation.

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

To thrive as an R Shiny Developer remotely, you need strong expertise in R programming, experience with Shiny application development, and a background in data analysis or statistics. Familiarity with version control systems like Git, cloud platforms (such as AWS or Azure), and deployment tools is typically required, along with relevant certifications in R or data science being advantageous. Excellent communication, self-motivation, and problem-solving skills are crucial for collaborating across distributed teams and managing projects independently. These skills ensure you can build robust, interactive data applications while effectively contributing to remote teams and meeting project goals.

What are some common challenges faced by R Shiny developers working remotely, and how can they be addressed?

R Shiny developers working remotely often encounter challenges such as coordinating with distributed teams, ensuring efficient communication, and managing version control for collaborative projects. To overcome these, it's essential to use project management tools like Jira or Trello, maintain regular virtual meetings, and leverage platforms like GitHub for code collaboration. Additionally, clear documentation and proactive communication help ensure that all team members are aligned, even when working across different time zones.
More about R Shiny Remote jobs
What cities are hiring for R Shiny Remote jobs? Cities with the most R Shiny Remote job openings:
What are the most commonly searched types of R Shiny jobs? The most popular types of R Shiny jobs are:
What states have the most R Shiny Remote jobs? States with the most job openings for R Shiny Remote jobs include:
Infographic showing various R Shiny Remote job openings in the United States as of July 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Quality Lead / Data Management Lead - Oncology

Data Quality Lead / Data Management Lead - Oncology

Parexel

Remote

Full-time

Medical, Life, Retirement, PTO

Posted 9 days ago


Parexel rating

9.1

Company rating: 9.1 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

5th of 59 rated research


Job description

When our values align, there's no limit to what we can achieve.
At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do.
Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference.
Job Title: Data Quality Lead / Data Management Lead - Oncology
Location: USA -Remote- with the ability to work Pacific Standard Time Zone hours.
About Us: At Parexel, we are dedicated to advancing clinical research and supporting medical affairs with innovative solutions. We are seeking a dynamic and experienced Data Quality Lead/Data Management Lead to join our team. If you have a passion for clinical research, strong project management skills, and a knack for data management, we want to hear from you!
Who You Are:
Required:
  • BS or MS in Life Sciences, Data/Computer Science, or equivalent industry experience.
  • 7+ years' experience clinical data management/biometrics in pharmaceutical/biotech clinical
  • Medical affairs experience is a plus, but not necessary.
  • Experience in Phase IIIB-IV trials is a plus.
  • Oncology experience (Solid Tumor)
    • Late-phase oncology experience, ideally in women's health solid tumors, is a plus.
  • Strong project management experience and vendor/CRO oversight.
  • Demonstrated collaboration and superb communication skills, both written and oral proficiency in English required.
  • Proficient in CDISC data standards, ICH-GCP, and working in regulated environments, with a solid understanding of biological principles and scientific curiosity.
  • Validated project management skills, capable of managing multiple requests and priorities, with proven leadership in decision-making, negotiation, motivation, and placing influence.
  • Experience with data analytics and visualization tools, an entrepreneurial mindset, self-direction, and the ability to mentor others while learning new techniques.
  • Experience in leading DM study teams, overseeing trial data activities, and collecting clinical trial and/or real-world data, with a good understanding of molecule and disease area strategies and the healthcare environment.
  • Ownership and accountability relative to key accountabilities in the job description.
  • Ability to travel as required.
  • Written and oral fluency in English.

Preferred:
  • Understanding data structure and programming languages such as SAS, R, Python, and SQL, and advanced analytics approaches (e.g., machine learning, AI).
  • Understanding and/or proficiency with tools for analyzing large data sources with computationally intensive steps (e.g., SQL, parallelization, Hadoop, Spark) and producing interactive outputs (e.g., Shiny, Tableau).
  • Understanding and/or experience with SDTM implementation, CDISC standards, standardized technologies (e.g., MedDRA, WHODrug), and reproducible research practices like version control and literate programming.
  • BSN, RN, RPh, Pharm D, PA, MPH, or other applicable health professional credentials, along with contributions to open-source packages, libraries, or functions.

What you will be doing:
Responsibilities will include:
  • Develop risk management strategies and proactively manage timelines to ensure successful oversight and delivery of studies and projects.
  • Engage with stakeholders to understand their needs, influence their understanding of decisions, inform them of key deliverables, and adapt to changing milestones.
  • Partner with relevant functions for external data vendor selection and management, ensuring standards-compliant data transfer agreements and fit-for-purpose data models.
  • Advise teams and stakeholders on best practices for data collection, propose innovative solutions, and ensure high-quality, compliant data.
  • Use surveillance tools to review data at an aggregate level, identifying patterns or anomalies to ensure high-quality results.
  • Organize and integrate data from various sources, maintaining its value through the application of FAIR principles, and support stakeholders' data insight needs from collection to analysis.

Cross-functional Data Management Leadership:
  • Manage and coordinate the integration and utilization of all ancillary systems.
  • Highlight issues/risks to delivery by understanding interdependencies. Define mitigations and drive resolution with cross-functional stakeholders as part of the Risk Management Plan.
  • Review and analyze metrics to derive meaningful summaries of study health and trends.
  • Review Master Services Agreements, Service Level Agreements, and contracts to manage toward sponsor-specific metric targets/Key Performance Indicators.
  • Attend cross-functional meetings, prepare meeting agendas and minutes, and comply with action and decision logs.

Project Financial and Resource Management:
  • Ensure appropriate project-level resourcing of staff and staff assignments.
  • Regularly review and update Data Management resources to ensure alignment with contracted budgets, project resource forecasts, actuals, and demand.
  • Determine and resolve the root cause of Data Management-related project variances in a timely manner, including negotiating/raising changes in scope.

Company Initiatives:
  • Provide Data Management functional input, considering the impact on Data Management and Parexel as a whole.
  • Support other functions by providing meaningful feedback on initiatives.
  • Ensure Parexel-requested information is entered into management systems is accurate and regularly updated.

Training:
  • Maintain training compliance as per assigned job roles, including on-the-job training.
  • Deliver project-specific training to internal Data Management teams.
  • Address training needs based on identified development goals.

Base Pay Range: $99,000.00 to $180,000.00 yearly
Actual salaries may vary within the range based on several factors including, but not limited to education, training, experience, professional achievement, and location.
In addition to base salary, some roles may be eligible for participation in Parexel's annual performance-based bonus plan, annual salary review and total rewards incentives.
Our talent acquisition team will provide additional details on our bonus plan or incentive programs for those eligible roles. For all eligible employees, we offer market leading benefit programs including paid time off, 401k match, life insurance, health insurance, and other benefit offerings in accordance with the terms of applicable plans.
EEO Disclaimer
Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

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PAREXEL logo

About PAREXEL

Sourced by ZipRecruiter

Bring your Data Management expertise to Parexel's Strategic Partnerships. Although we work globally, each partnership we form is deeply personal. We are as dedicated to every aspect of our client's product development as they are - and work closely with client teams in true partnership to understand both challenges and opportunities. At Parexel we are focused on meeting customer and patient needs through collaborative partnership so that we get treatments into the hands of patients who need them most.

Industry

Pharmaceutical and medicine manufacturing

Company size

10,000+ Employees

Headquarters location

Waltham, MA, US

Year founded

1983