Team eBird is based out of the Cornell Lab of Ornithology in Ithaca, New York. We are a passionate team that includes bird-heads, application developers, user interface and design experts, and database gurus who are committed to building tools to deliver high quality data that can be used for science and conservation. We work collaboratively with many other teams at the Cornell Lab of Ornithology including the Macaulay Library, Bird Populations Studies, Conservation, Education, and Communications and positions from those groups that are most directly related to eBird are also included here.
Please see below for the current jobs that are available with eBird (and sometimes with other related projects). View all Cornell Lab job opportunities here.
Current Job Postings
Data Visualization Developer
Application Programmer III – Band F
Lab of Ornithology, College of Agriculture and Life Sciences
See full job description here.
The Lab of Ornithology is currently seeking a Data Visualization Developer. Specific duties include:
- Work with other members of the team to transform static, experimental ideas for data visualizations into dynamic, interactive, production-level implementations that can scale and be used by a broad audience.
- Collaborate with the broader technical team with developing web services and APIs that serve data to web-based visualizations in a client-server framework, particularly web-mapping services.
- Work with project staff and designers to create compelling visual stories that appeal to a wide variety of audiences: from science experts to the general public.
This is a full-time annual term appointment located in Ithaca, New York.
Applicants to provide cover letter, resume, contact information for 3 references.
- Bachelor’s degree with at least 3 years of experience in professional visualization development, preferably working with a team.
- Experience creating web-based data visualizations that rely on interactivity and are data-driven.
- Familiarity with a range of data types used in visualization, including tabular and spatial (both vector and raster).
- Basic experience with web-mapping technologies.
- Proven experience documenting and testing code.
- Basic understanding of web performance and scaling.
- Fluency in best practices for modern frontend development across a variety of devices and screen formats.
- Understanding of human-computer interactions and the design of interactive displays for data-driven visualizations.
- Demonstrable skills in problem solving and critical thinking.
- Excellent oral and written communication skills with the ability to convey information in everyday language.
- Ability to work as part of a diverse team, help establish goals, deliver work on schedule and to learn technical material quickly.
- Experience writing project requirements and working directly with designers and software engineers.
- Must be comfortable working in a dynamic environment where change is the norm.
- An interest in birds, nature, biology, science, and/or conservation is highly desired.
- Master’s degree with 3-5 years of experience creating and developing interactive web-based data visualizations, preferably with a focus on ecological and/or environmental datasets, including remote sensing and citizen-science data.
- Experience with front-end frameworks, such as React or Vue.
- Experience regularly using d3 to create interactive web-based data visualizations.
- Experience with a range of web-mapping technologies, from raster tiles and Google Maps to vector tiles and Tippecanoe, OpenLayers, and PostGIS.
- Experience with component libraries and code development focused on modularity and re-usability.
- Some experience with developing web services and APIs for use in web-based data visualizations, with languages such as Java.
- Some experience with developing exploratory analysis toolkits for hypothesis generation and similar tasks with high-dimensional data using visual analytic techniques.
- Some experience developing customized decision-support tools for a range of user expertise.
- Experience with Docker, Kubernetes, AWS, and/or other cloud technology.