Global Health Statistician — Epidemic Data & Impact

Quantitative Engineering Design; Scottsdale (AZ); Hybrid; USD 55,000 - 75,000; Full time

Benefits offered by this job

Unusual, socially conscious projects

Little bureaucracy

Travel to exotic places around the world!

Job summary

Quantitative Engineering Design is seeking an Applied Statistician to analyze health data related to HIV, tuberculosis, and malaria for meaningful public health projects. The role requires relocation to Sub-Saharan Africa, working closely with local teams to drive impactful research and policies. Ideal candidates should have strong statistical skills, experience in real-world data analysis, and an eagerness to collaborate across cultures. Passion for international development and commitment to the mission is essential.

Qualifications

• Willingness to physically relocate long-term to Sub-Saharan Africa.
• High proficiency with core ideas in statistics.
• Publications in peer-reviewed journals are a plus.
• Practical proficiency in analyzing real-world datasets with traditional statistics.
• Familiarity with public health or willingness to develop expertise in epidemic control.
• Computer programming skills for data analysis, high fluency in SQL and R/Python.
• Working proficiency in English (≥C1) and typing speed of at least ≥45 words per minute.

Responsibilities

• Conduct statistical analysis of national-scale health data.
• Co-direct ground teams to convert data into action.
• Collaborate with governmental and medical teams.
• Construct dashboards for data visualization.

Skills

Statistical analysis

Data cleaning and validation

SQL

R/Python

Machine learning

Logical reasoning

Curiosity and tenacity

Education

Formal studies in statistics and data science

Tools

Git version control

Job description

Quantitative Engineering Design is seeking an Applied Statistician to analyze health data related to HIV, tuberculosis, and malaria for meaningful public health projects. The role requires relocation to Sub-Saharan Africa, working closely with local teams to drive impactful research and policies. Ideal candidates should have strong statistical skills, experience in real-world data analysis, and an eagerness to collaborate across cultures. Passion for international development and commitment to the mission is essential.