This position is global (possibility to work remotely) and we invite talented people from all EU to apply.

You will be part of a team of statisticians and data scientists. As a Bayesian modeler, your day-to-day responsibilities will include:

• Planning and executing statistical/modeling studies to the highest degree of client satisfaction using appropriate techniques; you will initiate, drive and implement novel methods for Bayesian inference, complex statistical models and innovative trial designs in alignment with the Lead Statistician
• Working hand in hand with a team of statisticians and epidemiologists for project delivery
• Supporting the delivery in consulting projects when it comes to the technical part
• Training statisticians and epidemiologists on modelling and analysis skills
• Providing statistical expertise to support submission activities and documents, explaining statistical methodologies, interpreting analyses results
• Participating in business development activities, such as proposal writing
• Collaborating with other line functions and explaining statistical concepts in an easily understandable way to non-statisticians
• Providing adequate statistical justifications for actions/decisions/statements, when required
• Establishing and maintaining sound working relationships and effective communication, both internally and externally

A MSc + at least 5 years experience (or a PhD + 2 years experience) in a related and relevant area (statistics, data science, mathematical modeling, biometrics etc…).

• Experience in Bayesian statistics and modeling, MCMC practice, Bayesian decision analysis or simulation-based optimization (e.g. Bayesian optimal design)
• Experience in advanced statistics including e.g. parametric and non-parametric analyses, mixed-effects models, predictive modeling, network meta-analysis, imputations, advanced survival analysis, multi-state modeling, time series, stochastic processes, machine learning, model selection
• Strong programming skills in R, python or other relevant languages
• Experience with Bayesian software such as Stan or PyMC3
• Experience working in healthcare or public health
• Experience in the following areas is a big plus: pharmacometrics, pharmaco-epidemiology, knowledge of real-world healthcare databases, epidemic modeling, causal inference, AI/ML, R-Shiny
• Experience working in the pharma industry or health agencies is a plus
• Fluent English (oral and written)
• Good communication and presentation skills
• Demonstrated effectiveness working on a multidisciplinary team to achieve team objectives

• One meeting with HR
• Meeting with Quinten Healthcare Director
• Meeting with a manager