Global Health Full-time

Epidemiologist / Biostatistician

AHADI

Location

Remote

Type

Full-time

Posted

Jan 18, 2026

Mission

What you will drive

Core responsibilities:

  • Writes software code (in R and/or Stata) to manage, visualize, analyze, and model a variety of health data types
  • Identifies and applies appropriate quantitative and statistical methods for the problem at hand
  • Liaises between public health partners and analysis partners
  • Prepares reports and presentations to effectively communicate methods and findings to stakeholders, including ministries of health and other partners
  • Trains, supervises, and collaborates with partner individuals and institutions to support upskilling of local public health analytics talent

Impact

The difference you'll make

This role creates positive change by using analytics and systems thinking to design system-level solutions that reduce disease burden in African countries, with a focus on enabling self-reliance in public health analytics.

Profile

What makes you a great fit

Required qualifications:

  • Ph.D. in epidemiology or biostatistics, or DrPH; alternatively, Ph.D. in a related quantitative field and at 2+ years' experience working with epidemiological or public health data
  • Experience in statistical analysis, including statistical tests and basic regressions
  • Experience in analysis of epidemiological, public health, clinical trial, or other health data
  • Professional proficiency in English or French
  • Proficiency in data manipulation
  • Proficiency in at least one data analysis language (R or Stata)
  • Proficiency in data visualization, including making maps
  • Clear and effective communication of quantitative work to non-experts

Benefits

What's in it for you

No specific compensation, perks, or culture highlights mentioned in the job description.

About

Inside AHADI

AHADI is a values-driven organization that analyzes field, trial, survey, and routine health system data to inform public health decision-making, with a mission to enable self-reliance in public health analytics in Africa.