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Senior R Shiny Developer Jobs (NOW HIRING)

Degree specialized in a Science, Technology, Engineering, or Mathematics discipline * Experience with Python, SQL, Unix/Linux, Databricks, Tableau, R Shiny and Github * Experience with Amazon Web ...

Sr. R&M Engineer

Oshkosh, WI · On-site

$73.20K - $117.80K/yr

Senior Reliability Engineer will be responsible for interpretation, planning, and execution of Reliability and Maintainability (R&M) requirements on government contracts. Interpret failure analysis ...

Senior Data Analyst

Fremont, CA

$94.10K - $118.80K/yr

Senior Data Analyst Charlotte, NC Qualifications: Client is looking for I.O.T and Sensor Fusion ... D3, R-ShinyProgramming experience using Python • Data Science experience using advanced ...

Sr. R&M Engineer

Harrison, WI · On-site

$73.20K - $117.80K/yr

Senior Reliability Engineer will be responsible for interpretation, planning, and execution of Reliability and Maintainability (R&M) requirements on government contracts. Interpret failure analysis ...

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Senior R Shiny Developer information

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

As of Jun 3, 2026, the average hourly pay for senior r shiny developer in the United States is $54.88, according to ZipRecruiter salary data. Most workers in this role earn between $45.91 and $75.00 per hour, depending on experience, location, and employer.

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

To thrive as a Senior R Shiny Developer, you need advanced proficiency in R programming, strong experience in building interactive Shiny applications, and a solid background in data analysis or statistics, often supported by a relevant degree. Familiarity with version control systems like Git, deployment tools (such as Docker or Shiny Server), and knowledge of front-end web technologies (HTML, CSS, JavaScript) are typically required. Strong problem-solving abilities, effective communication, and the capacity to collaborate with multidisciplinary teams distinguish top performers in this role. These skills ensure the delivery of robust, user-friendly data applications that meet complex business needs and facilitate data-driven decision-making.

How does a Senior R Shiny Developer typically collaborate with data scientists and business stakeholders on projects?

A Senior R Shiny Developer often acts as a bridge between data scientists, who provide complex analyses and models, and business stakeholders, who need actionable insights. They work closely with data scientists to understand requirements, interpret datasets, and ensure effective integration of analytical results into interactive Shiny applications. Collaboration with stakeholders involves gathering feedback, translating business needs into technical features, and iteratively refining dashboards or tools to improve usability and value. This role requires strong communication skills and the ability to manage expectations while delivering functional, scalable solutions.

What are Senior R Shiny Developers?

Senior R Shiny Developers are experienced professionals who design, develop, and maintain interactive web applications using R and the Shiny framework. They are responsible for creating user-friendly dashboards, data visualizations, and analytical tools, often for data-driven organizations. In addition to strong R programming skills, they typically have expertise in front-end technologies, data management, and deploying Shiny applications to production environments. Senior developers often mentor junior team members and collaborate with stakeholders to deliver robust and scalable solutions.

What is the difference between Senior R Shiny Developer vs Data Scientist?

AspectSenior R Shiny DeveloperData Scientist
Required CredentialsBachelor's or higher in Computer Science, Data Science, or related fields; experience with R and ShinyBachelor's or higher in Data Science, Statistics, or related fields; proficiency in R, Python, and statistical modeling
Work EnvironmentDevelops interactive dashboards and web apps for data visualization in tech, finance, healthcareAnalyzes data, builds predictive models, and interprets results across various industries
Employer & Industry UsageTech companies, consulting firms, healthcare, financeResearch institutions, tech firms, finance, healthcare, academia

While both roles require strong R skills and data understanding, Senior R Shiny Developers focus on creating interactive web applications, whereas Data Scientists analyze data and develop models. The roles often overlap in data-driven environments but differ in primary responsibilities.

More about Senior R Shiny Developer jobs
What cities are hiring for Senior R Shiny Developer jobs? Cities with the most Senior R Shiny Developer job openings:
What are the most commonly searched types of R Shiny Developer jobs? The most popular types of R Shiny Developer jobs are:
What states have the most Senior R Shiny Developer jobs? States with the most job openings for Senior R Shiny Developer jobs include:
Infographic showing various Senior R Shiny Developer job openings in the United States as of May 2026, with employment types broken down into 72% Full Time, 14% Part Time, and 14% Contract. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $114,152 per year, or $54.9 per hour.
Senior Manager, Statistical Programming

Senior Manager, Statistical Programming

Beam Therapeutics

Cambridge, MA • Hybrid

Other

Posted 12 days ago


Job description

Position Overview:

Beam is looking for a highly talented and motivated Senior Manager, Statistical Programming, to join our growing Statistical Programming team in the Biometrics department. The senior manager will be responsible for developing and maintaining statistical programming functions within a therapeutic area to support various clinical studies and submissions to ensure successful execution for Beam's clinical programs. In this role, you will work with the lead of statistical programming to develop statistical programming strategies and timelines. You will manage CROs, oversee programming activities and provide timely support to the cross-functional teams on statistical programming matters according to the project strategies and requests.

Responsibilities:

  • Participates in statistical programming activities on clinical studies and oversees CROs to generate analysis data sets and tables, listings and figures needed for clinical study reports and regulatory submissions.
  • Reviews and validates SDTM, ADaM analysis datasets and TFLs created by CROs.
  • Works collaboratively and communicates effectively with Biostatistics, Data Management, clinical operations, clinical development, Regulatory and other functions.
  • Manages creating CDSIC SDTM and ADaM datasets, analysis metadata results and Define.xml for Electronic Submission from the clinical database or external data sources.
  • Manages the activities of data summary, statistical analysis, patient profile, safety and efficacy tables, listings and figures using Base SAS, SAS Macros, SAS/STAT, SAS/Graph, SAS/SQL, SAS/ODS and R.
  • Participates and manages the workflow of generating study specific and ad-hoc clinical data listings, summary tables and figures.
  • Partners with Statisticians and other members of the clinical study team, performs ad hoc analysis.
  • Reviews SAP, DMP, CRF, annotated CRF, table shells and other relevant documents by CROs and provides expert feedback from functional perspective.
  • Develops SAS programming infrastructure and programming processes improve data deliverables and ad hoc analyses quality and efficiency.
  • Builds and mentors a team of programmers as needed to support Beam clinical trials and development pipelines.

Qualifications:

  • MS or higher degree in Statistics, Mathematics, or related scientific Discipline.
  • At least 10 years Pharmaceutical/Biotech programming experience.
  • Advanced SAS programming skills and strong Statistical background along with experience with SAS Base, SAS/Macros, SAS/Graph and SAS/Stat.
  • Experience and in-depth knowledge in CDISC including STDM, ADaM and controlled terminologies.
  • NDA or BLA submission experience is required.
  • Excellent organizational skills and ability to prioritize tasks.
  • Excellent communication and interpersonal skills.
  • Experience managing CROs and other data vendors.
  • Knowledge of ICH guidelines, Good Clinical Practices, FDA / EMA / other regulatory authority guidance.
  • Experience with R-Shiny is a plus.
  • #LI-Hybrid