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Statistical and Research Analyst I

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MUSC Health

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Location:
United States , Charleston

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Category:
Research and Development

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Contract Type:
Employment contract

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Salary:

37200.00 - 59500.00 USD / Year
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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

Additional Information:

Job Posted:
March 25, 2026

Employment Type:
Parttime
Work Type:
On-site work
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