Job Summary
A company is looking for a Researcher in Mathematical Sciences and Computational Algorithms.
Key Responsibilities
- Develop and apply advanced statistical models for exposure distribution estimation
- Finalize and deploy tools for modeling exposure distributions using limited summary statistics
- Support scalable SEV and PAF computation through tool development and research consulting
Required Qualifications
- Master's degree in public health, epidemiology, statistics, biostatistics, math, economics, quantitative social sciences, or related discipline, plus 1 year of relevant experience
- Advanced proficiency in Python for scientific computing, including use of standard statistical libraries
- Demonstrated interest in or experience with density estimation and risk modeling
- Record of contributions to scientific publications and conference presentations
- Long-term interest in advancing the methodological foundations of population health research
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