Postdoctoral Associate in Population Health Sciences
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Key skills for this role
About the Role
Weill Cornell Medicine-Qatar is hiring a Postdoctoral Associate to develop mathematical models for disease dynamics and interventions. Requires a PhD in Mathematical Epidemiology, Applied Mathematics, or related field with expertise in modeling and scientific computing.
Key Skills for This Role
Responsibilities
- Develop mathematical models describing disease dynamics and the impact of interventions
- Formulate hypotheses independently and perform comprehensive data analysis using mathematical modeling
- Develop, validate, and maintain deterministic, stochastic compartmental, and individual based models
- Partner with principal investigators and multidisciplinary research teams to co develop study designs
- Interpret modeling outcomes and prepare reports, visualizations, and scientific manuscripts
- Write and publish articles in peer reviewed journals
- Present research results in internal meetings and external scientific conferences
- Maintain accurate documentation of analytical methods, results, and project progress
- Guide team members on effective use of tools, methods, and workflows
Requirements
- PhD in Mathematical Epidemiology, Applied Mathematics, Theoretical Physics, or a related quantitative discipline
- Extensive knowledge of mathematical modeling frameworks, including deterministic and stochastic approaches
- Expert at scientific computing, including programming, numerical analysis, Monte Carlo simulations
- Proficiency in scientific computing tools such as MATLAB, Mathematica, Berkeley Madonna, SPSS, and R
- Advanced problem solving and analytical skills
- Excellent organizational skills with ability to manage multiple priorities
- Proficient in MS Office Suite
Full Job Posting
Position Summary
- The position is responsible for analyzing and interpreting data using advanced mathematical and computational models to support project related research on the biomedical and behavioral dimensions of population dynamics for both communicable and non communicable diseases.
Job Responsibilities
- Develops mathematical models describing disease dynamics and the impact of interventions.
- Formulates hypothesis independently and performs comprehensive data analysis using mathematical modeling across multiple research projects.
- Develops, validates, and maintains deterministic, stochastic compartmental, and individual based models to support disease related investigations.
- Partners with principal investigators and multidisciplinary research teams to co develop study designs, and define robust computational plans aligned with research aims.
- Interprets modeling outcomes and prepares reports, visualizations, and scientific manuscripts summarizing findings and contributes to manuscripts and grant submissions.
- Writes and publishes articles in peer reviewed journals that highlights research findings.
- Presents research results in internal meetings and external scientific conferences.
- Maintains accurate documentation of analytical methods, results, and project progress.
- Researches articles with respect to the assigned study, keeps up to date with the latest developments and identifies areas of improvement.
- Guides team members on the effective use of tools, methods and workflows as required.
- Performs other duties as assigned.
Education & Experience
- PhD
- Ph.D. in Mathematical Epidemiology, Applied Mathematics, Theoretical Physics, or a related quantitative discipline with relevant post qualification experience.
Knowledge, Skills and Abilities
- Extensive knowledge of mathematical modeling frameworks, including deterministic and stochastic approaches.
- Extensive knowledge of quantitative methods including differential and integral equations, nonlinear dynamics, probability theory, and stochastic processes.
- Expert at scientific computing, including programming, numerical analysis, symbolic and logical analysis, Monte Carlo simulations, and computer graphics.
- Extensive knowledge in use of scientific computing tools such as MATLAB, Mathematica, and Berkeley Madonna, and statistical software including SPSS and R.
- Advanced problem solving and analytical skills with an eye for detail.
- Excellent organizational skills with the ability to manage multiple priorities in demanding timeframes.
- Proficient in MS Office Suite (Word, Excel, PowerPoint, Outlook).
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