Statistical and Research Analyst I Job at MUSC Health (Charleston)

Job Description

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

Job Responsibility

Data preparation, analysis and modeling
Contribute to manuscript development and assist with publications
Participate in and help organize meetings, seminars, and conferences
prepare and deliver research presentations
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

Requirements

A high school diploma and two years clerical or paraprofessional experience involving the compilation of data and statistics
A bachelor's degree may be substituted for the required work experience
Ability to perform job functions in an upright position
Ability to perform job functions in a seated position
Ability to perform job functions while walking/mobile
Ability to work indoors
Ability to work outdoors in all weather and temperature extremes
Ability to work in confined/cramped spaces
Ability to perform job functions from kneeling positions
Ability to bend at the waist
Ability to squat and perform job functions
Ability to perform 'pinching' operations
Ability to fully use both hands/arms
Ability to perform repetitive motions with hands/wrists/elbows and shoulders
Ability to reach in all directions
Possess good finger dexterity
Ability to maintain tactile sensory functions
Ability to lift and carry 15 lbs., unassisted
Ability to lift objects, up to 15 lbs., from floor level to height of 36 inches, unassisted
Ability to lower objects, up to 15 lbs., from height of 36 inches to floor level, unassisted
Ability to push/pull objects, up to 15 lbs., unassisted
Ability to maintain 20/40 vision, corrected
Ability to see and recognize objects close at hand
Ability to see and recognize objects at a distance
Ability to match or discriminate between colors
Ability to determine distance/relationship between objects
depth perception
Good peripheral vision capabilities
Ability to maintain hearing acuity, with correction
Ability to hear and/or understand whispered conversations at a distance of 3 feet
Ability to perform gross motor functions with frequent fine motor movements
Ability to work in dusty areas

Nice to have

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
Strong written and verbal communication skills
Ability to work independently and manage multiple tasks
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

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Statistical and Research Analyst I

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