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MUSC Health · 1 week ago

UNIV - Research Assistant - Student - Department of PHS

Charleston

Full-time

Onsite

New Grad

Medical University of South Carolina is focused on advancing research in public health and epidemiology. The Research Assistant position involves supporting data-driven research on vector-borne diseases and contributing to scientific publications under mentorship.

Health CareHospitalMedical

Responsibilities

Prepare, clean, geocode, and analyze geospatial and remote-sensing datasets

Conduct spatial and statistical analyses using R or Python

Develop data visualizations, figures, and analytical summary reports

Support manuscript development, abstracts, posters, and scientific presentations

Data preparation, analysis and modeling. The student will assist with collecting, cleaning and processing large datasets, from multiple sources to ensure accuracy, consistency, and reliability

Contribute to manuscript development and assist with publications. Student will assist with the preparation and development of manuscripts, assist with literature reviews, citation management, and reference formatting, and support the submission and revision for academic and professional publications

Participate in and help organize meetings, seminars, and conferences; prepare and deliver research presentations. The student will actively participate in research meetings and seminars to share progress and ideas

Qualification

RPythonGIS toolsEpidemiologyData visualizationAnalytical methodsCommunication skillsIndependent work

Required

Under the mentorship of Dr. Abe Mollalo, the position focuses on the epidemiology of vector-borne diseases, with an emphasis on integrating GLOBE citizen science data and NASA Earth observations to model mosquito habitats and assess disease risk across space and time

The student will play an integral role in supporting data-driven research, contributing to scientific publications, and engaging in professional development through presentations and scholarly activities

Prepare, clean, geocode, and analyze geospatial and remote-sensing datasets

Conduct spatial and statistical analyses using R or Python

Develop data visualizations, figures, and analytical summary reports

Support manuscript development, abstracts, posters, and scientific presentations

Data preparation, analysis and modeling. The student will assist with collecting, cleaning and processing large datasets, from multiple sources to ensure accuracy, consistency, and reliability

Strong written and verbal communication skills

Ability to work independently and manage multiple tasks

Preferred

Background in public health, environmental health, epidemiology, health geography, bioinformatics, or a related discipline

Experience with R or Python

Introductory familiarity with GIS tools (ArcGIS, QGIS, or similar)

Strong interest in environmental health, geospatial data, or infectious-disease topics

Good communication skills and readiness to learn new analytical methods

Coursework or early experience in environmental health, disease ecology, epidemiology, or GIS

Exposure to remote-sensing datasets is helpful but not required

Familiarity with spatial statistics, machine learning is a plus

Company

MUSC Health

MUSC Health provides health-care services through its patient- and family-centered care, education, research, and various partnerships. It is a sub-organization of Medical University of South Carolina.

Founded in 1824