Postdoc

ISEE SNRN - International Society for Environmental Epidemiology Student and New Researchers Network; Harvard (IL); On-site; USD 70,000 - 95,000; Full time

Job summary

The Haber Lab in the Department of Environmental Health at Harvard University is recruiting a postdoctoral researcher in social and environmental epidemiology. The work will use geospatial analysis to understand exposures contributing to respiratory disease burden in cities.

The successful candidate will collaborate with data scientists, clinical allergists and other researchers to study social and geographic determinants of asthma, indoor/outdoor air pollution, and housing conditions across US

Qualifications

• PhD or equivalent in public health, epidemiology, data science, statistics or other quantitative field.
• Experience in geospatial analysis and Bayesian disease mapping.
• Strong interpersonal and communication skills; ability to present research clearly.
• Excellent problem solving and quantitative analysis abilities.

Responsibilities

• Lead projects in the lab using geospatial approaches on city-wide data derived from electronic health records and municipal sources.
• Collaborate with data scientists, clinicians, pulmonologists and immunologists to collect data, generate hypotheses and plan analyses.

Skills

Geospatial analysis

Bayesian disease mapping

Spatial epidemiology

Interpersonal communication

Quantitative analysis

Education

PhD or equivalent

Job description

Details

The Haber Lab in the Department of Environmental Health at Harvard University (https://www.haberlab.org/) is recruiting a postdoctoral researcher in social and environmental epidemiology.

The broad area of research will use geospatial and geographic analysis to understand the landscape of exposures that contribute to respiratory disease burden, particularly asthma, in cities.

The successful candidate will work on a range of projects that focus on the social and geographic determinants of asthma at the epidemiological level, using geospatial analysis of city-wide datasets. These studies will examine the increased risk that neighborhoods and air quality inside individual housing units contribute to asthma burden in Boston and elsewhere. This line of research seeks to isolate factors, such as indoor and outdoor air pollution, and poor housing conditions, in the social, physical, and built environment that contribute to high asthma rates in US cities like Boston.

Responsibilities

• As a postdoc in the lab you will join, lead, and propose projects in the lab which use geospatial approaches to analyze city-wide data. Typically, these datasets will derive from electronic healthcare records and administrative municipal data sources (e.g. housing code violations or inspection scores).
• You will collaborate closely with other data scientists, clinical allergists, pulmonologists and immunologists to collect new data, generate hypotheses and plan new analyses.

Qualifications

• PhD or equivalent in public health, epidemiology, data science, machine learning, data science, computational biology, computer science, statistics, mathematics, or other quantitative field.
• Experience and/or training in geospatial analysis, Bayesian disease mapping and other methods, spatial epidemiology
• Strong interpersonal and communication skills, experience presenting and communicating research.
• Excellent problem solving and quantitative analysis skills

Employer

Harvard University

Contact

Adam Haber

Email

[e-mail]

Website

www.haberlab.org

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