Epidemiology & Biostatistics MPH Intern – Global Health

Organization

Babies and Mothers Alive (BAMA)

Location: Hybrid (Remote + Optional Field Visit in Uganda)

Duration: 10–16 weeks (flexible for academic credit)

Reports to: Technical Advisor / M&E Lead / Executive Director

Compensation: Stipend + Optional Field Support

About BAMA

Babies and Mothers Alive (BAMA) works to improve maternal and newborn survival in low-resource settings through clinical innovation, health systems strengthening, and local capacity building. BAMA partners with district hospitals, frontline providers, and ministries of health to improve emergency obstetric and newborn care (EmONC), strengthen data systems, and enhance service delivery outcomes. The organization emphasizes translating program data and evidence into insights that inform health system strengthening and policy decision-making.

Job Title & Position Description

Epidemiology & Biostatistics MPH Intern – Global Health

Babies and Mothers Alive (BAMA) seeks a graduate student in Epidemiology or Biostatistics enrolled in a Master of Public Health (MPH) program who is interested in applying quantitative skills to real-world global health implementation. The intern will support analysis of maternal and newborn health program data, monitoring and evaluation, and operational research, with a particular focus on translating evidence into actionable insights for program improvement, health system strengthening, and policy decision-making. The role includes contributing to analytical briefs, technical summaries, and evidence synthesis that can help inform discussions with health partners, district leaders, and policymakers on maternal and newborn health priorities, service delivery improvements, and scale-up decisions. This internship offers exposure to how epidemiologic analysis can directly support implementation strategy and policy dialogue in low-resource settings.

Key Responsibilities – Epidemiologic & Biostatistical Analysis

• Clean, manage, and analyze program datasets related to maternal and newborn health indicators
• Conduct descriptive and inferential statistical analyses
• Support trend analysis and intervention impact evaluation
• Develop analytical dashboards or visualizations
• Conduct literature reviews on maternal and newborn health outcomes
   

Monitoring & Evaluation Support

• Support development and refinement of program indicator frameworks
• Conduct data quality assessments and validation checks
• Assist with program monitoring reports for leadership and donors
• Develop analytical summaries of program performance
   

Operational Research & Policy Translation

• Assist with operational research initiatives linked to program implementation
• Translate data findings into actionable insights for program design
• Support preparation of analytical briefs and presentations for stakeholders
• Contribute to technical reports that support evidence-based decision-making
   

Policy Impact & Decision Support

This internship explicitly connects data analysis to policy and system-level decision-making. The intern may support work that informs policy discussions with health authorities and partners.

• Translate epidemiological and program data into policy-relevant insights
• Support development of short policy briefs or analytical notes
• Contribute evidence summaries that may inform Ministry of Health or district-level planning
• Help analyze program outcomes and cost-effectiveness considerations relevant to scale-up decisions
• Assist in preparing materials for discussions with health system stakeholders

Strategic Exposure

• Participate in program review meetings
• Observe discussions with government and health system partners
• Gain exposure to strategy development for health systems strengthening and program scale-up

Qualifications

Required

• Currently enrolled in an MPH program (Epidemiology or Biostatistics concentration)
• Proficiency in at least one statistical software (R, Stata, SAS, or Python)
• Strong quantitative reasoning and data visualization skills
• Strong written communication skills
   

Preferred

• Interest in maternal and newborn health
• Experience working with health facility data
• Exposure to global health implementation or health systems research

Learning Objectives

• Apply epidemiologic and biostatistical methods in real-world program settings
• Understand how data informs program management and policy decisions
• Gain exposure to global health implementation challenges
• Produce a final analytical deliverable such as a dashboard, technical brief, or analytic report