Climate and Health Data Intern

Sacred Heart University is seeking a Climate and Health Data Intern for a paid internship from Fall 2026 to Spring 2027. The position involves analyzing environmental health data related to climate change, focusing on data sets and GIS layers. Candidates should have knowledge in environmental science and strong data analysis skills. The job is part-time, requiring approximately 12 hours per week, and is based in Boston, MA.
Massachusetts Department of Public Health

Recruitment began on March 25, 2026

and the job listing Expires on April 25, 2026

DPH Paid Internship Program, Fall 2026-Spring 2027

Intern Title
:
Climate and Health Data Intern

Eligible Academic Level: Master’s

Preferred Field(s) of Study
:
Public Health;
Environmental Health;
Environmental Epidemiology;
Environmental Science

Semester: Fall & Spring

Total Hours
: 288

Hours Per Week: Part Time (approx. 12 hours)

Work Arrangement: Hybrid

On Site

Location:

250 Washington Street, Boston MA

Position Overview:

To assess the health impacts and risks due to climate change, the Division of Environmental Toxicology, Hazard Assessment & Prevention (TOX) has collected surveillance data of environmental health outcomes to better understand climate hazards and analyze trends in environmental exposures and health impacts. The intern will assist the TOX Division with developing and analyzing climate and environmental health data sets.

Responsibilities:
• Develop and maintain data sets and GIS layers for climate hazards, vulnerable populations, social determinants of health (SDOHs) and health outcomes related to climate change vulnerability.
• Explore relationship between climate-related parameters (temperature, precipitation) and water quality to inform forecasting of waterborne health hazards in Massachusetts.
• Analyze possible linkages between human illness data and water quality data

Skills &

Qualifications:

TOX is seeking an intern with knowledge of environmental science and/or environmental health principles, strong data analysis skills, and experience using GIS software.
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