Cambridge, MA
Do you want to work on products that help make the world a better place?
Would you enjoy working with a diverse, talented, and passionate team to make sure that researchers and policy makers around the world have the best data and insights for their communities to be successful?
Do you love working with the latest technology and tools?
If so, this is your opportunity to work on applications used around the world, in a position where your work can make a difference in millions of lives.
We take real world government data and research, and turn them into interactive data tools affecting policy at the highest levels. The Atlas of Economic Complexity is our current online tool that lets users interactively visualize a country’s trade and explore growth opportunities for more than a hundred countries worldwide.
We're now working with individual countries to take their biggest civic datasets and direct regional development using network analysis and visualization.
We use python, django, postgres, elasticsearch, ansible for the back end. For the frontend, it's ember and d3 on projects in Mexico in Colombia, jquery and d3 on atlas.cid.harvard.edu, and WebGL with Three.js on some 3d projects that we’ve launched such as globe.cid.harvard.edu/
Everything we do is open source: https://github.com/cid-harvard
- Design good systems
- Write thoughtful code
- Create new apps and visualizations, and improve existing ones
- Share your work with others in and out of CID
We don't require that you have experience with all of this to begin with, but it is directly relevant to the role.
- You take pride in writing great code for great products
- You work with frontend frameworks like ember, angular, react
- You're comfortable around both sides of a RESTful api
- You use git and open source workflows
- Your interest is piqued by economic and social development issues
We're a small engineering team inside the CID, working with a group of brilliant economists and data scientists. As engineers, our past work ranges from software startups, to electoral campaign data teams, to PHDs in computer science.
Send some work that you're proud of to: greg underscore shapiro at hks dot harvard dot edu