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Junior R Shiny Developer Jobs in New York (NOW HIRING)

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC ... Mentor and train junior programmers and contribute to continuous process improvement initiatives.

New

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC ... Mentor and train junior programmers and contribute to continuous process improvement initiatives.

New

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC ... Mentor and train junior programmers and contribute to continuous process improvement initiatives.

New

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC ... Mentor and train junior programmers and contribute to continuous process improvement initiatives.

New

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC ... Mentor and train junior programmers and contribute to continuous process improvement initiatives.

New

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC ... Mentor and train junior programmers and contribute to continuous process improvement initiatives.

New

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC ... Mentor and train junior programmers and contribute to continuous process improvement initiatives.

New

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC ... Mentor and train junior programmers and contribute to continuous process improvement initiatives.

New

Sr. GenAI Engineer

Jersey City, NJ · On-site

$108K - $149K/yr

Mentor and uplift junior engineers through design reviews, code reviews, and coaching * Communicate ... Proficiency in Python, R, or Java * Experience with TensorFlow, PyTorch, Scikit-learn, and OpenAI ...

Showing results 41-60

Junior R Shiny Developer information

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

AspectJunior R Shiny DeveloperData Analyst
Required SkillsProficiency in R, Shiny, basic programmingData manipulation, statistical analysis, visualization
Work EnvironmentDeveloping interactive web apps, codingData interpretation, reporting, dashboards
Industry UsageTech, healthcare, finance for app developmentBusiness, marketing, finance for insights

While both roles involve working with data, a Junior R Shiny Developer primarily focuses on creating interactive web applications using R and Shiny, requiring coding skills. In contrast, a Data Analyst interprets data, generates reports, and provides insights, often using tools like Excel, SQL, or visualization software. The roles overlap in data handling but differ in technical depth and end goals.

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

To excel as a Junior R Shiny Developer, you need a solid understanding of R programming, data analysis, and basic web development concepts, typically supported by a degree in computer science, statistics, or a related field. Familiarity with the Shiny package, Git version control, and data visualization tools like ggplot2 is commonly required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills for this role. These competencies ensure the delivery of robust, user-friendly data applications that meet client or organizational needs.

What is a Junior R Shiny developer?

Junior R Shiny Developers are entry-level professionals who build interactive web applications using the R programming language and the Shiny framework. They typically work under the guidance of senior developers to design, develop, and maintain data-driven dashboards and tools. Their tasks often include writing R code, creating user interfaces, visualizing data, and ensuring applications run smoothly. This role is ideal for individuals with a background in statistics, data analysis, or programming who are looking to gain experience in web development and data science applications.

What are some common challenges faced by Junior R Shiny developers during project development?

Junior R Shiny Developers often encounter challenges related to translating user requirements into interactive web applications, managing reactivity efficiently, and ensuring application performance with larger datasets. Navigating unfamiliar codebases, debugging reactive expressions, and learning best practices for UI/UX design in Shiny are also typical hurdles. Collaborating closely with data scientists and end users is essential to refine features and ensure the app meets practical needs, so strong communication and a willingness to learn from feedback are key to success in this role.
What are the most commonly searched types of R Shiny Developer jobs in New York? The most popular types of R Shiny Developer jobs in New York are:
What cities in New York are hiring for Junior R Shiny Developer jobs? Cities in New York with the most Junior R Shiny Developer job openings:
Infographic showing various Junior R Shiny Developer job openings in New York as of August 2026, with employment types broken down into 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

Senior Statistical Analyst

2T Consulting

Middle Village, NY

Full-time

Posted 2 days ago

New


Job description

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC standards, and clinical trial data analysis. The ideal candidate will collaborate with statisticians and cross-functional teams to develop ADaM datasets, generate TLFs, support regulatory submissions, and ensure high-quality statistical programming deliverables for clinical studies.

Primary Responsibilities

*Collaborate with statisticians to develop and implement Statistical Programming Plans (SPPs) and Statistical Analysis Plans (SAPs).
*Program, validate, and maintain ADaM datasets, statistical analyses, and programming deliverables using SAS and R.
*Generate and validate Tables, Listings, and Figures (TLFs) for clinical study reports, safety reports, and regulatory submissions.
*Create and maintain programming documentation, including specifications, annotated code, validation plans, and programming guidelines.
*Perform quality control and validation of statistical programming outputs to ensure compliance with CDISC standards and regulatory requirements.
*Support ad hoc statistical analyses, exploratory data analyses, and data visualization requests.
*Develop and maintain reusable programming macros, utilities, and automation tools to improve efficiency and consistency.
*Provide programming support during regulatory submissions, audits, and inspections.
*Collaborate with study teams to resolve programming and data-related issues while ensuring timely project delivery.
*Identify project risks, escalate issues when necessary, and provide regular status updates.
*Mentor and train junior programmers and contribute to continuous process improvement initiatives.
*Stay current with industry best practices, regulatory guidelines, and advancements in statistical programming.

Required Skills & Qualifications

*Strong proficiency in SAS and R programming for clinical trial data analysis.
*Experience programming and validating ADaM datasets, TLFs, and statistical analyses.
*Advanced knowledge of CDISC standards, including ADaM and SDTM.
*Solid understanding of clinical trial processes, statistical methodologies, and regulatory requirements.
*Experience in therapeutic areas such as Oncology, Immunology, Neuroscience, or other clinical domains.
*Strong analytical, troubleshooting, and problem-solving skills.
*Excellent attention to detail with a strong focus on quality and compliance.
*Effective written and verbal communication skills.
*Ability to collaborate with statisticians, clinical study teams, and external stakeholders.
*Proven ability to manage multiple priorities and meet project deadlines in a fast-paced environment.

Preferred Qualifications

*Experience supporting global clinical trials and regulatory submissions.
*Knowledge of clinical data visualization and exploratory data analysis.
*Experience developing standardized SAS macros and programming utilities.
*Prior experience mentoring or leading statistical programming teams.
*Familiarity with FDA, EMA, and ICH regulatory guidelines for clinical data submissions.