1

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

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 ...

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 ...

New

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 ...

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 job categories do people searching Contract R Shiny Developer jobs in New York look for? The top searched job categories for Contract R Shiny Developer jobs in New York 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 Clinical Programmer - SDTM and R/SAS 3635027

Axiom Path

Bridgewater, NJ • Remote

$75 - $80/hr

Full-time

Posted 22 days ago


Job description

Be Part Of A High-Performing Team:

Join a growing clinical programming function within a science-driven biopharmaceutical organization developing therapies for patients with serious and rare diseases. This newly established team is bringing critical SDTM programming capabilities in-house and works closely with data management, biostatistics, and statistical programming. The environment is collaborative, technically rigorous, and well suited to an experienced programmer who enjoys building reliable clinical-data solutions while helping shape new internal processes.

What's In Store For You:

Engagement: W2 only (no C2C/1099)

This is a fully remote, 12-month consulting assignment open to candidates located anywhere in the United States. Availability during Eastern Time business hours is preferred.

The role offers the opportunity to become one of the early members of a growing clinical programming team and contribute directly to the organization’s transition from outsourced SDTM programming to an internal delivery model. A contract extension may be possible based on performance and business needs, although permanent conversion is not currently planned.

How You Will Make An Impact:

  • Create production-quality SDTM datasets using both SAS and R.
  • Independently perform quality control and validation of SDTM datasets.
  • Develop dataset specifications using CDISC standards and current SDTM Implementation Guides.
  • Create annotated CRFs, including domain mappings, annotation boxes, controlled terminology, and page-level placement.
  • Apply existing team macros and programming utilities to support annotated CRF and SDTM production.
  • Develop SAS- and R-based listings and reports supporting medical monitoring, clinical data management, and statistical endpoint monitoring.
  • Perform clinical-data checks, reconciliations, and issue investigation as assigned.
  • Collaborate closely with data managers, biostatisticians, statistical programmers, and clinical-study stakeholders.
  • Help establish scalable internal standards, workflows, and quality practices as SDTM programming transitions in-house.
  • Manage multiple study deliverables independently while maintaining accuracy, traceability, and timely execution.

Do you bring proven success in SDTM programming with both SAS and R?

  • Approximately 8–10 years of hands-on clinical programming experience in pharmaceutical, biotechnology, CRO, or related regulated clinical environments.
  • Strong production programming proficiency in both SAS and R.
  • Demonstrated experience creating and independently quality-checking SDTM datasets.
  • Strong knowledge of CDISC standards and current SDTM Implementation Guides.
  • Hands-on experience creating annotated CRFs, including page-level annotations and terminology mapping.
  • Ability to use established macros, functions, and programming utilities.
  • Experience translating raw clinical data, CRFs, specifications, and programming standards into compliant SDTM deliverables.
  • Strong analytical, troubleshooting, documentation, and quality-control skills.
  • Ability to work independently as an individual contributor in a small and evolving team.
  • Strong written and verbal communication skills.
  • Experience with JReview is highly preferred.
  • Experience with Shiny, Pharmaverse, or R Markdown is highly desirable.
  • Exposure to SQL programming is preferred.
  • Experience supporting medical monitoring, data-management reports, reconciliations, or statistical endpoint monitoring is beneficial.