1

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

Airflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit. * Openness to evaluate and adopt emerging technologies and programming languages as needed. * Public contributions or demos on ...

Data Engineer

Bedminster, NJ · 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 ...

Senior Data Scientist

New York, NY · On-site

$90K - $160K/yr

Airflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit. * Openness to evaluate and adopt emerging technologies and programming languages as needed. * Public contributions or demos on ...

Senior Data Scientist

New York, NY · On-site

$90K - $160K/yr

Airflow, Redis,Flask/Django/FastAPI,SQL,R-Shiny/Dash/Streamlit. * Openness to evaluate and adopt emerging technologies and programming languages as needed. * Public contributions or demos on GitHub ...

Senior Data Scientist

New York, NY · On-site

$90K - $160K/yr

Airflow, Redis,Flask/Django/FastAPI,SQL,R-Shiny/Dash/Streamlit. * Openness to evaluate and adopt emerging technologies and programming languages as needed. * Public contributions or demos on GitHub ...

Contract * Ability to work independently and in a team oriented environment Keen attention to detail Excellent communication skills Collaborate with business and other IT teams * Skill 5 years ...

... Engineers. * Experience applying the allowable cost requirements in 2 C.F.R. 200 * Must have good ... Experience with major contract writing systems * Experience purchasing within the transportation ...

... Contract to Hire Looking for BI/BO Analyst/Developer / SAP Business Warehouse, SAP Business Objects Suite, XCelsius, Dashboard Designer, especially leveraging interaction with SAP R/3, S/4 Hana is a ...

... Contract to Hire Looking for BI/BO Analyst/Developer / SAP Business Warehouse, SAP Business Objects Suite, XCelsius, Dashboard Designer, especially leveraging interaction with SAP R/3, S/4 Hana is a ...

next page

Showing results 1-20

Contract R Shiny Developer information

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

AspectContract R Shiny DeveloperData Analyst
Required SkillsProficiency in R, Shiny, web app development, data visualizationData manipulation, statistical analysis, reporting, Excel, SQL
Work EnvironmentProject-based, freelance or contract roles, tech-focused teamsFull-time or part-time, business or corporate settings
Industry UsageTech, healthcare, finance, research projects requiring interactive dashboardsBusiness intelligence, marketing, finance, operations analysis

Contract R Shiny Developers focus on building interactive web applications using R and Shiny, often on a project basis. Data Analysts analyze data sets, generate reports, and support decision-making. While both roles require data skills, the Developer role emphasizes app development and coding, whereas the Analyst role centers on data interpretation and reporting.

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 are popular job titles related to Contract R Shiny Developer jobs in New York? For Contract R Shiny Developer jobs in New York, the most frequently searched job titles are:
What cities in New York are hiring for Contract R Shiny Developer jobs? Cities in New York with the most Contract R Shiny Developer job openings:
Senior Manager, Clinical Data Analytics (Contractor)

Senior Manager, Clinical Data Analytics (Contractor)

Eikon Therapeutics

Jersey City, NJ

$75.48 - $82.21/hr

Other

Posted 14 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.