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Senior R Shiny Developer Jobs in New Jersey (NOW HIRING)

Senior Data Scientist

Princeton, NJ ยท On-site

$90K - $160K/yr

Senior Data Scientist Location: Princeton, NJ or New York, N, or Charlottesville, VA. Toronto, ON ... R-Shiny/Dash/Streamlit. * Openness to evaluate and adopt emerging technologies and programming ...

Senior Data Scientist Location: Princeton, NJ, New York, N, or Charlottesville, VA. Toronto, ON ... R-Shiny/Dash/Streamlit. * Openness to evaluate and adopt emerging technologies and programming ...

Senior Data Scientist Location: Princeton, NJ, New York, N, or Charlottesville, VA. Toronto, ON ... R-Shiny/Dash/Streamlit. * Openness to evaluate and adopt emerging technologies and programming ...

Senior Data Scientist

Princeton, NJ ยท On-site

$90K - $160K/yr

Senior Data Scientist Location: Princeton, NJ or New York, N, or Charlottesville, VA. Toronto, ON ... R-Shiny/Dash/Streamlit. * Openness to evaluate and adopt emerging technologies and programming ...

Data Engineer

Bedminster, NJ ยท On-site

$116K - $140K/yr

... R. * Experience with web application frameworks including Shiny, Dash, Streamlit. * Experience with CI/CD utilizing git/Azure DevOps. * Knowledge of alternative storage formats including Parquet ...

Sr. Salesforce developer

Jersey City, NJ ยท On-site

$137K - $168K/yr

Ph: 732-790-2266 x 201 R ole: Sr. Salesforce Developer Location: Pittsburg, PA/ Boston, MA / Minneapolis, MN/Chicago, IL/Plano, TX /Charlotte, NC,/Dallas, TX - Fulltime Position Must Have Technical ...

For Senior SAS ETL Developer * 8-10 years of experience in SAS development and ETL implementation ... Experience with Python or R for advanced analytics * Experience with Agile / Scrum delivery models

Parexel is seeking a Senior Real-World Evidence (RWE) Analyst Programmer Join a high-impact team as ... Effectively designs and codes R and SQL programs for assigned project(s), consistently meeting ...

Senior Cybersecurity Engineer

Hackensack, NJ ยท On-site +1

$124K - $171K/yr

The Senior Cybersecurity Engineer is the senior individual contributor on that team - the engineer ... R. ยง120.62. These requirements are only tied to this specific job posting. We are an equal ...

Senior Cybersecurity Engineer

Hackensack, NJ

$124K - $171K/yr

The Senior Cybersecurity Engineer is the senior individual contributor on that team - the engineer ... R. 120.62. These requirements are only tied to this specific job posting. We are an equal ...

Senior Etl Developer To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and ...

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Showing results 1-20

Senior R Shiny Developer information

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.

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.

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 the most commonly searched types of R Shiny Developer jobs in New Jersey? The most popular types of R Shiny Developer jobs in New Jersey are:
What are popular job titles related to Senior R Shiny Developer jobs in New Jersey? For Senior R Shiny Developer jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Senior R Shiny Developer jobs in New Jersey look for? The top searched job categories for Senior R Shiny Developer jobs in New Jersey are:
What cities in New Jersey are hiring for Senior R Shiny Developer jobs? Cities in New Jersey with the most Senior R Shiny Developer job openings:
Infographic showing various Senior R Shiny Developer job openings in New Jersey as of June 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 100% In-person job distribution.
Senior Manager, Clinical Data Analytics (Contractor)

Senior Manager, Clinical Data Analytics (Contractor)

Eikon Therapeutics

Jersey City, NJ

$75.48 - $82.21/hr

Other

Posted 17 days ago


Job description

Position Summary
We are seeking a highly motivated and innovative Clinical Data Analytics Developer for a 4-month contract engagement focused on the design and development of advanced analytics solutions supporting Clinical Data Management. This is a hands-on development role with a primary focus on building a Clinical Systems Audit Trail Review platform leveraging modern analytics, visualization, machine learning, and emerging AI technologies. The consultant will work closely with Clinical Data Management and cross-functional stakeholders to develop intelligent review workflows, anomaly detection capabilities, operational dashboards, and data-driven monitoring solutions across clinical study systems. The successful candidate will have strong experience developing data applications using R Shiny, R, Python, SQL, and modern visualization technologies. Experience working with clinical trial data, clinical systems, and regulated environments is highly desirable. This role offers an opportunity to contribute to innovative initiatives involving machine learning, intelligent analytics, and evaluation of future AI-enabled capabilities for clinical data review and operational oversight.


Key Responsibilities
During the engagement, the consultant will be expected to:

  • Lead development of an Audit Trail Review application supporting clinicalย systems such as EDC, RTSM, eCOA/ePRO, and related clinical platforms.
  • Build interactive dashboards and analytics workflows supporting clinical data review and operational monitoring.
  • Develop anomaly detection and risk identification capabilities using statistical and machine learning techniques.
  • Evaluate future AI-enabled opportunities including intelligent review assistants, AI-assisted analytics, and agent-based workflows.
  • Provide recommendations regarding AI technology utilization, security considerations, operational feasibility, scalability, and cost implications.
  • Deliver documentation and technical knowledge transfer materials to support future enhancements and long-term maintenance.
  • Design, develop, and maintain clinical analytics applications, dashboards, and reporting solutions using R Shiny, R, Python, SQL, and modern visualization tools.
  • Develop data review, monitoring, and risk identification capabilities using statistical and machine learning techniques.
  • Collaborate with Clinical Data Management and cross-functional stakeholders to gather requirements, validate solutions, and deliver high-quality applications.
  • Create technical documentation and support knowledge transfer activities.

Required Qualifications

  • 8+ years of experience with a Bachelor's degree, orย 6+ years with a post graduate degreeย in Computer Science, Data Science, Statistics, Bioinformatics, Life Sciences, or related field.ย 
  • Minimum 3 years of experience developing analytics, reporting, dashboard, or software solutions.
  • Experience with R, R Shiny, Python and SQL.
  • Experience developing dashboards, data visualizations, and interactiveย applications.
  • Hands-on experience developing, implementing, or evaluating Machine Learning (ML) models and AI-driven solutions for data analytics, patternย recognition, anomaly detection, automation, or decision supportย applications.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work independently and manage multiple priorities.

The expected hourly range for this role is $75.48 to $82.21 depending on skills, competency, and the market demand for your expertise.