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Assistant R Shiny Jobs (NOW HIRING)

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

... * Assist senior analysts with statistical modeling, machine learning, trend analysis, and ... R experience using tidyverse, tidymodels, ggplot2, Shiny, or equivalent packages. * SQL experience ...

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

... * Assist senior analysts with statistical modeling, machine learning, trend analysis, and ... R experience using tidyverse, tidymodels, ggplot2, Shiny, or equivalent packages. * SQL experience ...

Fluency in contemporary data visualization methods like R Shiny, D3 * Data Integration: Analyzing ... Internal, collaborative, and public databases to assist in the characterization of immune disease

$15.75 - $21/hr

... assist faculty with research. Responsibilities include data collection and evaluation, project ... Additional tasks involve writing project metadata, developing R code and R Shiny applications, and ...

Jr. R Python Developer

$51.50 - $71/hr

You will assist in translating business requirements into technical tasks, ensuring data accuracy ... Shiny/Dash (as applicable). • Support team members by generating datasets needed for analytics or ...

Operations Research Analyst

Tampa, FL · On-site

$93K - $110K/yr

... R Shiny. * Applying systems thinking and value-focused thinking to facilitate clear force ... Conducting and supporting studies, war-games, and modeling efforts to assist decision makers in ...

Operations Research Analyst

Fort Walton Beach, FL · On-site

$80K - $95K/yr

... R Shiny. * Applying systems thinking and value-focused thinking to facilitate clear force ... Conducting and supporting studies, war-games, and modeling efforts to assist decision makers in ...

Experience with AI-native programming practices, including the use of AI coding assistants, agentic ... SAS, R Shiny, Power BI, or equivalent platforms. * Familiarity with cloud-based data and AI ...

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Assistant R Shiny information

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

AspectAssistant R ShinyData Analyst
Required skillsProficiency in R, Shiny, basic data visualizationData analysis, statistical skills, data visualization
Work environmentDeveloping interactive dashboards, supporting data projectsInterpreting data, generating reports, business insights
Common industry usageTech, research, healthcare, financeBusiness, marketing, finance, healthcare

Assistant R Shiny roles focus on developing interactive web applications using R and Shiny, often requiring programming skills. Data Analysts interpret data, create reports, and provide insights, with broader statistical expertise. While both roles work with data, Assistant R Shiny positions emphasize application development, whereas Data Analysts focus on data interpretation and reporting.

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Senior Manager, Clinical Data Analytics (Contractor)

Senior Manager, Clinical Data Analytics (Contractor)

Eikon Therapeutics

Jersey City, NJ

$75.48 - $82.21/hr

Other

Posted 16 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 clinical 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, or 6+ years with a post graduate degree in Computer Science, Data Science, Statistics, Bioinformatics, Life Sciences, or related field. 
  • 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 interactive applications.
  • Hands-on experience developing, implementing, or evaluating Machine Learning (ML) models and AI-driven solutions for data analytics, pattern recognition, anomaly detection, automation, or decision support 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.