The BIPID team in the IAME UMR1137 INSERM Université de Paris (Research interests | IAME) is opening a one-year postdoctoral position to develop Bayesian approaches to high throughput genetic analyses using nonlinear mixed effect models.
The candidate will analyse longitudinal phenotype data using differential equation models on clinical trial data with Stan and perform simulation studies to compare different approaches to test for a genetic association (e.g. Laplace or horseshoe priors and prediction projections).
At BIPID, we design, perform and analyse clinical trials and cohorts in order to better understand variability in response to antimicrobial agents and for epidemiological description and prognosis assessment of infectious diseases. The group is based in the north of Paris, next to the Bichât Hospital.
A successful candidate has a PhD in Statistics/Biostatistics/Biomathematics, with a strong academic capacity in the form of publications and/or other scientific outputs. You are experienced in Bayesian modeling and inference. It would be desirable if you have experience in pharmacology or infectious disease.
Applications for this vacancy are to be sent to Julie.email@example.com. You will be required to provide a CV and a supporting statement. Only applications received before the 30th of April 2021 will be considered.