World Wildlife Fund (WWF), the world’s leading conservation organization, seeks a Conservation Evidence Analysis Intern to join the Global Science team.
Conservation decision-makers need credible information on which to base their decisions at local, national, and international scales. The synthesis of existing management information and program and conservation data, collected by WWF and its partners, offers the potential to provide actionable insights to decision-makers. Consequently, WWF is combining global datasets with internal data on performance and conservation outcomes to help inform key decisions.
We are looking for a motivated intern to assist in the collection, management, and statistical analysis of key datasets.
Specific responsibilities will include:
This internship is an excellent opportunity to interact with scientists and practitioners at WWF and around the world; gain exposure to a wide range of conservation science and policy issues; and inform adaptive management of WWF’s conservation portfolio.
The successful applicant must be currently enrolled in a Bachelor’s or Master’s degree program with a demonstrated interest in biodiversity conservation.
The successful applicant will have strong analytical and critical thinking skills; data management and statistical analysis skills; R/RStudio experience; and experience handling large scientific datasets.
Familiarity with global datasets relevant to global agreements such as the Sustainable Development Goals and the Convention on Biological Diversity is highly desirable. Exposure or skills in systems thinking or design and experience using GitHub a plus. This internship requires independent work, as well as collaboration as part of an international, interdisciplinary team.
The position will start in late May/early June 2018, and run for a duration of 12 weeks.
Unpaid. For all unpaid internships, applicants must be enrolled in school and be able to obtain academic course credit from their university.
How to apply: Please submit a resume, cover letter, and sample R script (optional) through our Careers page.
https://careers-wwfus.icims.com/jobs/search , IN-18061
* Please note that WWF does not provide VISA sponsorship to interns
As an EOE/AA employer, WWF will not discriminate in its employment practices due to an applicant’s race, color, religion, sex, national origin, age, marital status, genetic information, sexual orientation, gender identity and expression, disability, or protected Veteran status.