Job Title: Senior Research Data Analyst
About the Role:
As a Senior Scientific Assistant, you will contribute to various projects involving spatio-temporal, health, and environmental data modelling. You will work collaboratively with a team of researchers on Bayesian statistical methods and computation, applied in infectious disease and environmental epidemiology.
Your Key Responsibilities:
* Collaborate with the research team to develop and implement Bayesian models for complex data analysis.
* Contribute to the design and execution of research projects, ensuring high-quality results and accurate findings.
* Work closely with team members from diverse backgrounds, fostering trust and transparency through reliability and accountability.
* Provide essential support to the research process, prioritizing tasks and managing multiple projects simultaneously.
Required Skills and Qualifications:
* Masters degree in statistics or mathematics.
* Experience in R programming.
* Proficiency in Bayesian modelling and computation is an asset.
* Excellent written and verbal English skills are paramount.
* Able to prioritize tasks and manage multiple projects efficiently.
* An exceptional ability to work collaboratively in a team-oriented environment.
Benefits and Opportunities:
This role offers a unique opportunity to contribute to cutting-edge research in environmental epidemiology and infectious disease modelling. As a senior member of our team, you will have the chance to grow your skills and expertise, working with experienced professionals in the field.