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Senior R Shiny Developer Jobs in Washington (NOW HIRING)

Axle

Senior Full Stack Developer

Rockville, MD · On-site

They are seeking a Senior Full Stack Developer to work with clients across the federal space ... e., Shiny, Streamlit, Solara, etc...) • Experience with the following: Node.js, Angular 19 ...

TIAG

Senior PHP Developer

Reston, VA · Remote

TIAG is now hiring a Senior PHP Developer to join our team and play a key role in building, scaling ... R. part 471, Appendix A to Subpart A)

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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 is a senior R Shiny developer?

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.
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Senior R Shiny Developer jobs near you

IT Business Partner Consultant

CTN Solutions

Rockville, MD • Hybrid

Other

Posted 14 days ago

Job description

Job Description Job Summary We are seeking an experienced, hands-on IT Business Partner (ITBP) to bridge the gap between our IT organization and our business department, especially engaged with the teams under R&D, such as Biostatistics, Clinical Operations, Regulatory, etc. In this role, you will act as the key liaison, translating business needs into robust, compliant technical solutions. The ideal candidate possesses deep domain expertise in biopharma IT ecosystems, including eTMF, EDC, CTMS, RTMS, SAS, QMS, etc., and combines rigorous project management discipline with the technical agility to drive implementations from inception to validation

Key Responsibilities 1. Business Partnering & Strategic Alignment Work closely with the IT head, serve as the IT point of contact and advisor for Clinical Operations, Biostatistics, Medical Writing, QA and Regulatory Affairs. Proactively identify opportunities where technology can optimize system and process execution, data analysis, and regulatory submissions.

Cascade IT strategies, roadmaps, and project updates clearly to business stakeholders and leadership. 2. Hands-on Project Management & Delivery Lead end-to-end IT projects from business requirements gathering, process design, solution sourcing & selection to deployment, hyper-care, and system retirement.

Define project scope, create detailed project plans, manage timelines, allocate resources, and mitigate risks within the part-time schedule. Maintain a highly organized project portfolio, delivering regular status reports and interactive presentations to the stakeholders. Hands-on Execution: Actively participate in system configuration, data migration planning, user acceptance testing (UAT) coordination, and the creation of user guides/cheat sheets.

3. Clinical Systems Management & Compliance Oversee and optimize the clinical IT ecosystem, ensuring seamless integration and data flow across platforms among the Clinical Ops, Biometrics & Analytics, Medical Writing, Medical Safety, and so on. Ensure all software deployments, upgrades, and integrations comply with regulatory standards, specifically FDA 21 CFR Part 11, GxP, and data privacy laws (GDPR/HIPAA).

Partner with Quality Assurance to author and execute validation lifecycle documentation (IQ/OQ/PQ). Qualifications & Requirements Education & Experience Experience: Minimum of 5 years of experience in IT Project Management or Business Analysis, specifically within the Biotech, Biopharma, or pharmaceutical industries. Domain Knowledge: Proven track record of successfully implementing and managing clinical trial systems, QMS and supporting biostatistics/programming environments (SAS, R/Shiny).

Technical & Compliance Competencies Strong understanding of the drug development lifecycle and clinical operations workflows. Solid grasp of GxP software validation processes and FDA 21 CFR Part 11 compliance requirements. Experience navigating cloud-native architectures (e.g., Microsoft Azure, AWS) and secure cloud storage solutions (e.g., Box) is highly desirable

Soft Skills & Work Style Communication & Presentation: Exceptional verbal and written communication skills; ability to convert complex technical terms into clear business language for cross-functional partners. Time Management: Well-organized ability to prioritize, multi-task, and manage multiple concurrent workstreams efficiently within a part-time framework. Execution Focus: A distinct "hands-on" mentality-willingness to roll up your sleeves to troubleshoot issues, write documentation, and support end-users directly.

Work Arrangement & Availability: Commitment to a 3-4 day work week, including a strict requirement to be on-site 2 days per week at our US office, with the remaining 1-2 days worked remotely.

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