Job at Center for Open Science

April 6, 2014

(This article was first published on Hyndsight » R, and kindly contributed to R-bloggers)

This looks like an interesting job.

Dear Dr. Hyndman,

I write from the Center for Open Science, a non-profit organization based in Charlottesville, Virginia in the United States, which is dedicated to improving the alignment between scientific values and scientific practices. We are dedicated to open source and open science.

We are reaching out to you to find out if you know anyone who might be interested in our Statistical and Methodological Consultant position.

The position is a unique opportunity to consult on reproducible best practices in data analysis and research design; the consultant will make shorts visits to provide lectures and training at universities, laboratories, conferences, and through virtual mediums. An especially unique part of the job involves collaborating with the White House’s Office of Science and Technology Policy on matters relating to reproducibility.

If you know someone with substantial training and experience in scientific research, quantitative methods, reproducible research practices, and some programming experience (at least R, ideally Python or Julia) might you please pass this along to them?

Anyone may find out more about the job or apply via our website:

The position is full-time and located at our office in beautiful Charlottesville, VA.

Thanks in advance for your time and help.

To leave a comment for the author, please follow the link and comment on their blog: Hyndsight » R. offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.


Mango solutions

RStudio homepage

Zero Inflated Models and Generalized Linear Mixed Models with R

Quantide: statistical consulting and training



CRC R books series

Contact us if you wish to help support R-bloggers, and place your banner here.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)