Application Guide
How to Apply for Epidemiologist / Biostatistician
at AHADI
🏢 About AHADI
AHADI appears to be a public health analytics organization focused on capacity building and partnership with ministries of health and local institutions. The company likely works at the intersection of data science and global health implementation, with a mission to strengthen local public health analytics talent in underserved regions. This makes it unique for professionals seeking to apply technical skills toward meaningful health system strengthening.
About This Role
This Epidemiologist/Biostatistician role involves writing code in R/Stata to manage and analyze diverse health datasets, applying appropriate statistical methods, and translating findings into actionable insights for public health partners. The role is impactful because it directly supports upskilling local talent and informs health decisions through rigorous data analysis and clear communication with stakeholders like ministries of health.
💡 A Day in the Life
A typical day might involve writing R/Stata code to clean and analyze a new health dataset, applying statistical tests or regressions to identify trends, and preparing visualizations for a report. You could also liaise with public health partners to clarify data needs, review analysis plans with team members, and spend time training or collaborating with local institutions to build their analytics capacity.
🚀 Application Tools
🎯 Who AHADI Is Looking For
- Holds a Ph.D. in epidemiology, biostatistics, or DrPH, OR a Ph.D. in a related quantitative field with 2+ years of hands-on experience with epidemiological/public health data
- Demonstrates proficiency in R and/or Stata for data management, visualization, and statistical modeling, with experience in statistical tests and basic regressions
- Has experience analyzing epidemiological, public health, or clinical trial data, and can liaise effectively between technical teams and public health partners
- Is fluent in English or French and can prepare reports/presentations that communicate complex methods to non-technical stakeholders like ministries of health
📝 Tips for Applying to AHADI
Highlight specific projects where you used R or Stata to analyze health data, detailing your role in coding, analysis, and interpretation
Emphasize any experience training or supervising others in data analysis, as this role involves upskilling local public health talent
Tailor your resume to show how your statistical analysis experience aligns with epidemiological or public health data, even if from a related quantitative field
Demonstrate your ability to communicate technical findings to non-technical audiences, such as through past reports or presentations to health stakeholders
If applicable, mention experience working with ministries of health or similar public health partners to show understanding of the stakeholder landscape
✉️ What to Emphasize in Your Cover Letter
['Your hands-on experience with R/Stata in managing and analyzing health data, citing specific projects or outcomes', "Examples of how you've applied statistical methods to epidemiological or public health questions, emphasizing impact", 'Your ability to bridge technical analysis and public health implementation, including any liaison or training experience', "Why you're drawn to AHADI's focus on capacity building and partnership with local institutions"]
Generate Cover Letter →🔍 Research Before Applying
To stand out, make sure you've researched:
- → Look for AHADI's past projects or partnerships with ministries of health to understand their impact areas
- → Research the public health challenges in regions where AHADI likely operates (e.g., based on language requirements: English/French-speaking areas)
- → Explore how AHADI's mission aligns with global health analytics or capacity-building initiatives
- → If available, review any publications or reports from AHADI to gauge their technical approach and stakeholder focus
💬 Prepare for These Interview Topics
Based on this role, you may be asked about:
⚠️ Common Mistakes to Avoid
- Applying without concrete examples of R/Stata coding experience in health data analysis
- Failing to demonstrate how your statistical skills apply to epidemiological or public health contexts
- Overlooking the liaison and training aspects of the role, which are core to upskilling local talent
📅 Application Timeline
This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.
Typical hiring timeline:
Application Review
1-2 weeks
Initial Screening
Phone call or written assessment
Interviews
1-2 rounds, usually virtual
Offer
Congratulations!