The Foundation is looking to solve the problem of poverty, disease, and inequity around the world by utilizing mechanistic modeling, statistical analyses, and tailored approaches to accelerate impact and optimize systems.
Requirements
- PhD or equivalent experience required in subjects relevant to quantitative epidemiology and statistics
- Demonstrated experience in statistical methods: exploratory data analysis, geostatistical modeling, time series analysis, and multivariate analyses
- Strong programming skills in R
- Additional skills using Python, MATLAB, or C++ is an asset
- Experience identifying modeling solutions for complex challenges
- Extensive experience working in LMIC settings, including health systems at local or regional scale
- Experience identifying innovative approaches for complex challenges, translating modeling results to on-the-ground solutions, implementing changes to maximize impact
Responsibilities
- Execute on key surveillance pilot projects spanning TB, nutrition, and enteric and diarrheal diseases
- Align key public health questions with appropriate modeling solutions
- Identify and apply effective and rigorous statistical techniques to address key questions, including custom analytical approaches and existing IDM tools
- Work with team to identify exemplar sites based on strategic areas of focus, data availability and quality, partner engagement, and program team support
- Collaborate with team members to accelerate existing workstreams
- Keep a ‘birds-eye’ view across disparate projects to help drive long-term surveillance strategy and inform technical gaps
- Implement best practices for LMIC surveillance collaborations, ensuring effective communication of results, and uptake/ acceptance of work to translate to impact or policy
Other
- Ability to identify common themes and opportunities across complex and diverse topics
- Strong skills in scientific communication through presentations and peer-reviewed publications
- Curiosity around and tolerance for ambiguity
- Demonstrated ability to translate complex work and outcomes to concise policy recommendations, interface with diverse stakeholders
- Travel as required
