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

Spgi

Senior Data Scientist

New York, NY

$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 ...

Recruit Professional Services

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 ...

T Rowe Price

Quantitative Researcher

Manhattan, NY · Hybrid

Advanced proficiency in programming languages (R, Python, and SQL) plus experience applying these ... Familiarity with dashboarding tools (e.g., Power BI, Tableau, Shiny / Posit Connect) * CFA charter ...

Publicis Groupe Holdings B.V

Senior Consultant

Manhattan, NY · On-site

$110K - $173K/yr

... programming and model construction, and model interpretation. This is a hybrid role requiring 3 ... Highly proficient in statistical computing, like R, Python, and SAS * Highly proficient in data and ...

Publicis Groupe Holdings B.V

Senior Consultant

Manhattan, NY · Hybrid

$110K - $173K/yr

... programming and model construction, and model interpretation. This is a hybrid role requiring 3 ... Highly proficient in statistical computing, like R, Python, and SAS * Highly proficient in data and ...

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Freelance R Shiny Developer information

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

AspectFreelance R Shiny DeveloperData Analyst
Required SkillsProficiency in R, Shiny, web app developmentData manipulation, visualization, statistical analysis
Work EnvironmentIndependent, project-based, remote or on-siteCorporate or organizational settings, often full-time
CertificationsR programming, Shiny development experienceData analysis, statistics, or related certifications
Industry UsageTech, healthcare, finance, research projectsBusiness intelligence, market research, reporting

While both roles involve working with data, a Freelance R Shiny Developer specializes in creating interactive web applications using R and Shiny, often on a project basis. A Data Analyst focuses on interpreting data, generating reports, and providing insights within organizations. The developer role emphasizes technical web app skills, whereas the analyst role centers on data interpretation and communication.

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

To thrive as a Freelance R Shiny Developer, you need strong proficiency in R programming, Shiny app development, and a solid understanding of data analysis or statistics, often supported by a degree in a quantitative field. Familiarity with version control systems (like Git), cloud deployment platforms, and knowledge of relevant R packages are typically required. Excellent problem-solving, communication, and client management skills set successful freelancers apart. These skills and qualities are essential for delivering effective, user-friendly applications and maintaining strong client relationships in a competitive freelance market.

What are Freelance R Shiny Developers?

Freelance R Shiny Developers are independent professionals who design, build, and maintain interactive web applications using R and the Shiny framework. They typically work on a contract or project basis for various clients, helping to transform data analysis and statistical models into user-friendly dashboards and tools. Their responsibilities may include data visualization, UI/UX design, deploying Shiny apps, and integrating them with other technologies. Since they work freelance, they often manage multiple projects and clients simultaneously, offering flexibility and specialized expertise.

What are some common challenges faced by freelance R Shiny developers when working with clients remotely?

Freelance R Shiny developers often encounter challenges such as clearly understanding client requirements, managing communication across different time zones, and ensuring that the application meets both technical and business needs. Since projects are typically remote, it is important to establish regular check-ins, use collaborative tools for feedback, and maintain thorough documentation. Additionally, balancing multiple projects and staying updated on the latest R Shiny features can be demanding, but these practices help ensure successful project delivery and client satisfaction.
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 Freelance R Shiny Developer jobs in New York? For Freelance R Shiny Developer jobs in New York, the most frequently searched job titles are:
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Freelance R Shiny Developer jobs near you
Senior Manager, Clinical Data Analytics (Contractor)

Senior Manager, Clinical Data Analytics (Contractor)

Eikon Therapeutics

Jersey City, NJ • On-site

$75.48 - $82.21/hr

Other

Posted 26 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.

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