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Head of Risk Modeling Expert
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Head of Risk Modeling Expert
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Bayesian Modeling Expert
Il y a 2 mois
Quinten Health is seeking a skilled Bayesian Modeler to join our team of statisticians and data scientists. As a key member of our project teams, you will collaborate closely with Project Managers and clients to develop and execute analytical strategies that drive business growth and client satisfaction.
Key Responsibilities:- Develop and implement Bayesian statistical models to address complex business challenges and client needs.
- Design and execute statistical studies to achieve high levels of client satisfaction, leveraging techniques such as Bayesian inference, complex statistical models, and innovative trial designs.
- Identify and mitigate technical risks associated with analytical approaches, ensuring seamless project execution.
- Participate in client exchanges, project framing, and result presentation, providing expertise and insights to drive business outcomes.
- Support documentation and submission activities, explaining statistical methodologies and interpreting analysis results.
- Contribute to scientific dissemination through abstracts, posters, manuscripts, and conferences.
- Participate in business development activities, such as proposal writing.
- A master's degree with a minimum of 6 years of experience or a PhD with a minimum of 3 years of experience in a related field (statistics, data science, mathematical modeling, biometrics, etc.).
- Experience in Bayesian statistics and modeling, MCMC practice, Bayesian decision analysis, or simulation-based optimization.
- Advanced statistics skills, including parametric and non-parametric analyses, mixed-effects models, predictive modeling, network meta-analysis, imputations, advanced survival analysis, multi-state modeling, time series, stochastic processes, and machine learning.
- Proficiency in Python and/or R programming.
- Strong synthesis and communication skills to explain complex concepts to non-experts.
- A strong appetite for knowledge transmission and a taste for teamwork.
- English language proficiency, both oral and written.
- Knowledge of statistical and machine learning libraries (sklearn, caret, etc.).
- Experience with Bayesian software such as Stan or PyMC3 is a plus.
- Knowledge of distributed computing (parallelization and/or Spark) is a plus.
We offer a dynamic and collaborative work environment, opportunities for professional growth, and a chance to contribute to the evolution of skills and know-how within the company. If you are a motivated and experienced Bayesian Modeler looking to join a forward-thinking organization, please submit your application.
