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Public Health Epidimiology

  • Develop survey designs and models that suit the program in hand with corresponding data management tools that ensure quality tracking of program output and outcomes

  • Develop database design

  • Set up and test new database and data handling systems

  • Train and manage program staff on developed tools

  • Conduct regular field visits to support and build the capacity of field teams in use of data management tools

  • Recommend and develop statistical approaches for use in analyses

  • Investigate, analyze, and evaluate data using accepted statistical techniques

  • Organize and create documents and tables related to datasets

  • Prepare analysis plans and write detailed specifications for analysis files, consistency checks, tables, and figures; document analyses

  • Provide clear written and verbal summary interpretations of statistical analyses conducted

  • Determine proper methodology and evaluation processes for planned research projects

  • Contribute to publications and reports including drafting methods and results sections as well as providing appropriate tables and figures

  • Other tasks as assigned by the CEO

Intervention Sectors
Research & Studies
Location
  • Lebanon
  • Mount Lebanon
  • Matn
  • Jdaidet El Matn - Baouchriyeh - Sadd El Baouchriyeh
Application Deadline
Salary Range
1200 to 1500 (USD)
Contract Type
Full Time
Application Submission Guidelines

Interested applicants must send a CV and proof of writing skills to the following email address:
recruitment@crdconsultancy.org with "Public Health Epidimiology" as the subject.

Requires a Cover Letter?
Yes
Experience Requirements
3 to 5 years
Education Degree
Masters Degree
Education Degree Details
A Master’s Degree in Public Health with a strong quantitative or analytical component
• Three to five years of relevant experience in data collection and statistical analysis.
• Proven knowledge of social research methods, especially survey methodology.
• Extensive experience of working with a variety of statistical software like R, SAS, STATA, SPSS, etc.
• Expertise in all aspects of data analysis with special regard to an age and gender perspective.
• Proven ability to manipulate and present data by using standard tabulation and statistical software packages.
• Experience in data management.
• Excellent written and oral presentation skills, including drafting skills.
• Self-motivation and strong team spirit;
• Fluency in written and spoken English and Arabic – French is a plus.
Arabic
Fluent
English
Excellent
French
None
Hide guidelines for wrong answers
No