Environmental Epidemiology in Health Research using R

We are seeking an R programming expert to conduct a comprehensive series of sensitivity analyses Time series using Generalized Linear Models (GLM) with Negative Binomial regression to assess the relationship between daily PM₂.₅ levels and morbidity rates.
Key Responsibilities
- Perform sensitivity analyses using GLM with Negative Binomial regression.
- Analyze large environmental and health datasets with statistical rigor.
- Interpret and summarize statistical findings for scientific discussion.
- Conduct a literature review to support the methodology and results.
- Present findings in weekly meetings and incorporate feedback.
- Prepare a manuscript based on the findings
Qualifications
- Strong proficiency in R programming, particularly in GLM and Negative Binomial regression models.
- Experience in environmental health research, air quality analysis, or epidemiology.
- Familiarity with time-series analysis and exposure assessment
- Ability to interpret and communicate complex statistical results effectively.
- scientific writing skills with experience in manuscript preparation.