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Postdoctoral Associate in Population Health Sciences

Weill Cornell Medical College in Qatar (WCMC-Q)Doha, QAT2 months agoSenior
Senior

Skills

Technology StrategyInnovation LeadershipDigital Transformation

About This Role

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.

& Experience

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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