Remote Marine Conservation Data Intern: Seabird Bycatch

Environmental Defense Fund, Inc.; Boston (MA); Hybrid; USD 32,000 - 33,000; Full time

Job summary

Environmental Defense Fund, Inc. offers a Spring 2027 internship focused on seabird-fisheries interactions. Work across data processing, modeling, and policy-ready analyses under EDF mentors.

The role emphasizes quantitative ecology, R-based analyses, and communicating results to scientists and policymakers; located with remote options and potential hybrid work from several EDF offices across the U.S.

Qualifications

• Currently enrolled in or recently completed a master's or doctoral degree in a quantitative field.
• Proficiency in R (or Python with willingness to work in R).
• Demonstrated experience with spatial analyses in R and geospatial data packages.
• Strong quantitative and analytical skills; ability to troubleshoot code and interpret results.
• Excellent written and verbal communication; ability to disseminate findings to diverse audiences.

Responsibilities

• Collate, process, and map seabird distribution and fisheries effort datasets to assess spatiotemporal overlap.
• Review literature to compile species-specific catchability estimates and evidence on mitigation measures.
• Develop, refine, and implement R code to model the effectiveness of management scenarios.
• Support sensitivity analyses to evaluate model assumptions and uncertainty.
• Contribute to figures, maps, technical reports, and policy-relevant recommendations.

Skills

R programming

Spatial analyses in R

Quantitative analysis

Data processing

Scientific writing

Independent work

Team collaboration

Communication

Education

Master's or Doctoral degree in ecology, marine science, conservation biology, environmental science, geography or related quantitative field

Job description

Environmental Defense Fund, Inc. offers a Spring 2027 internship focused on seabird-fisheries interactions. Work across data processing, modeling, and policy-ready analyses under EDF mentors.

The role emphasizes quantitative ecology, R-based analyses, and communicating results to scientists and policymakers; located with remote options and potential hybrid work from several EDF offices across the U.S.