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R Shiny Developer

DatazymesBengaluru, India | Karnataka, IndiaRemote
This job is no longer open

Company Description


About DataZymes:


Founded in 2016, DataZymes is a next-generation analytics and data science company driving technology and digital-led innovation for our clients, thus helping them get more value from their data and analytics investments.Our platforms are built on best-of-breed technologies, thus protecting current investments while providing clients more bang for their buck. As we are a premier partner for many Business Intelligence and Information Management companies, we also provide advisory and consulting services to clients helping them make the right decisions and put together a long-term roadmap.Our mission at DataZymes is to scale analytics and enable healthcare organizations in achieving non-linear, long term and sustainable growth.

In a short span, we have built a high-performance team in focused practice areas, built digital-enabled solutions and are working with some marquee names in the US healthcare industry.

Job Description


Purpose of the role:


We are seeking a talented and motivated R Shiny Developer to join our dynamic team. As an R Shiny Developer, you will be responsible for developing, enhancing, and maintaining interactive web applications using R and Shiny. You will work closely with data scientists, analysts, and other stakeholders to deliver high-quality, user-friendly applications that meet the needs of our clients. This role will allow you to demonstrate critical thinking and creativity, and you will need to debug and troubleshoot issues in applications and provide timely resolutions. 

Qualifications


  • Excellent R programming skills and experience in Shiny web app development.
  • Strong technical documentation skills and working knowledge of Agile projects.
  • Experience with deploying Shiny applications using Shinyapps, RStudio Connect, or similar cloud platforms.
  • A demonstrated end to end project experience.  
  • Worked on R packages like Data.Table, dplyr, tidyr, Ggplot2 among others.
  • Optimize applications for performance and scalability.
  • Experience in developing modular code, utilizing reactiveValues, and employing parallel processing methodologies.
  • Knowledge of HTML, CSS, and JavaScript.
  • Familiarity with version control systems such as Git.
  • Understanding of web application security principles.
  • Familiarity with integration of databases and use of SQL in R environment.

Additional Information


  • Strong interpersonal skills, with an ability to do client interactions
  • Ability to work independently and as part of a team.
  • Capitalizes on opportunities to pursue value. Brings issues out in open so that all concern can address and find solution.
  • Building professional relationships with members of the client team.
  • Has an open and learning mindset. Adapts to new learning approaches and methods.

This job is no longer open

Life at Datazymes

Catalyzing Innovation in Pharma with Data-driven Digital Products. The idea of DataZymes germinated with the realization that Pharma Commercial teams had few alternatives to the antiquated and inefficient solutions offered by traditional consulting and technology companies. Already a laggard in analytical maturity, the Pharma industry had been facing challenges to adapt to a Big Data world. We saw that the products offered by technology companies were too rigid and generic to handle novel problems. The custom solutions offered by consulting organizations took too long to deploy and required many services to maintain and improve. We felt the need for a different approach to finding solutions and we knew it would take a different kind of company to build it. That’s why DataZymes. We’re focused on creating the world’s best user experience for working with data, one that empowers people to ask and answer complex questions without requiring them to master querying languages, statistical modeling, or the command line. To achieve this, we are building platforms for integrating, managing, and securing data on top of which we layer applications for fully interactive machine-driven, human-assisted analysis.
Thrive Here & What We Value1. Collaborative and supportive work environment2. Opportunities for professional development and growth3. Flexible working hours and remote work options4. Regular team-building activities and events
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