R user or R Developer? Panel Discussion at useR!2021
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
R User or R Developer? Attend our Panel Discussion at useR!2021 on Tuesday July 6th at 4 pm UTC (agenda).
According to the Stackoverflow Survey R is among the most popular programming, scripting, and markup languages. A key factor in its popularity is without any doubt its approachability for people without a software engineering background.
In the current time where IT skills are required across every domain for a Data Scientist, what does this mean for an R user? Is there a role such as an “R developer” in the job market, and (how) does it differ from being an R user? What type of background and expertise should an R user have to fit what companies are looking for? And what about academia? What is the current trend?
We will discuss and answer these questions in a panel featuring team leaders from both industry and academia, data scientists who have made the transition from R users to software developers, and an exponent from the R Core team.
And of course the Community perspective is for us paramount. What is your definition of an R user? What makes an R practitioner an R developer? Do you identify in these roles? Looking forward to hearing about your perspective and experience!
Meet the Panelists:
- Martin Mächler, Professor of Statistics at ETH and member of the R Core Team.
- Alexis Iglauger, Head of Analytics and Technology (Life & Health) at PartnerRe.
- Nic Crane, Data Scientist and Software Developer, currently working for Ursa Computing.
- Sandrine Dudoit, Professor of Biostatistics at UC Berkeley.
- Rafael Irizarry, Professor of Applied Statistics at Harvard and the Dana-Farber Cancer Institute.
Moderator:
- Miraier Francesca Vitalini, Senior Solutions Consultant, R practitioner, Trainer & Open-Source Community Activist.
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.