The Ecole polytechnique fédérale de Lausanne (EPFL) is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs 6,000 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of 16,000 people, including over 10,000 students and 3,500 researchers from 120 different countries.

Data Science Course Developer and Instructor – R (80-100%) EPFL Extension School

Your mission :

The
EPFL Extension School is looking for a
data scientist course developer and instructor to join our team and develop our multi-course
Data Science Communication and Visualization program with R. Here’s what you’ll get to do in this role:

• Produce educational content (written and video) to teach learners hands-on data visualisation skills using R and thetidyverse (dplyr, tidyr, ggplot2, shiny, rmarkdown, htmlwidgets, etc.)


• Develop activities to improve and test learners knowledge. This would include exercises, case studies and project guidance, centered on markdown reports and Shiny applications


• Design and lead workshops and hackathons, and participate in conferences to promote the EPFL Extension School, data science and digital skills to a wide audience


• Support learners through 1-1 chat, group chat, support forum, for their course and capstone project work and presentations


• Collaborate with partners from academia and the private sector to identify opportunities for development of new courses and workshops as well as learner course projects


• Manage additional course development and other activities to support the growth of the EPFL Extension School

The audience for the EPFL Extension School courses extends to a large, general public and the knowledge level of the learners will range from novice (no prior experience with R and/or in data science) to intermediate (strong familiarity, possibly but not necessarily university or post-graduate level knowledge). The course developer and instructor should be able to adapt his/her approach and output accordingly.
Your profile :

We expect a solid, demonstrable and practical background in all domains of data science relevant to beginner and intermediate-level learners. In particular, we expect you to be have extensive hands-on experience with the most common tools, methods, and applications of all stages of the data science pipeline (i.e.
data cleaning to data visualization), using
R. You will also have a proven ability to explain
basic and difficult concepts in data/data science clearly and effectively to a wide audience.Additional required qualifications:

• Previous experience with data science projects (teaching or not);


• Excellent communications and relationship management / « people » skills;


• Excellent written verbal presentation skills and the ability to communicate both to business and technical audiences, with a wide variety of skills / skill levels;


• Strong organizational skills;


• Good team player;


• Self-starter, capable of autonomous time management and work;


• Fluent English, both written and spoken;


• Comfortable with developer tools: git, the command line, code editors, etc.;

Place of work :

Campus Biotech Innovation Park, Geneva
Start date :

Immediately or to be defined.



Application will remain open until the position is filled.
Term of employment :

Fixed-term (CDD)
Work rate :

80-100%
Duration :

12 monthsContact :

Please submit your application online ONLY



bit.do/exts-coursdevR