Postdoctoral or research engineer position in the Inria – Inserm team COMPO (COMPutational pharmacology and clinical Oncology)
To apply: https://recrutement.inria.fr/public/classic/fr/offres/2022-04353 or email [email protected] Statistical modeling and machine learning for prediction of the response to immunotherapy in lung cancer The engineer or postdoc position will take place in the environment of a newly created Inria-Inserm team COMPO (COMputational Pharmacology in Oncology), located in the University Hospital of Marseille. This team is composed of mathematicians, pharmacists and clinicians and is a unique multidisciplinary environment focused on developing novel computational tools for decision- making in clinical oncology. The project is funded by the french National Cancer Institute (INCa) and will consist in developing mechanistic models of the response to immune-checkpoint inhibitors (ICI) with access to unique, large-scale (~450 patients), longitudinal and multi-modal biological data generated by thePIONeeR consortium clinical study (RHU program). It will involve strong interactions with clinicians from APHM and biologists, from academy (CIML and CRCM in Marseille) as well as biotech (e.g. HalioDX) and pharma companies (InnatePharma, Imcheck therapeutics). Mission confiée. The recruited person will be in charge of the biostatistical analysis, mixed-effects modeling and machine learning engineering of longitudinal biomarker data of the response to ICI in non-small cell lung cancer. To this end, large data sets containing multi-modal and longitudinal data from immuno-histochemistry, imaging, pharmacokinetics, immunoprofiling, soluble biomarkers and sequencing data (including circulating DNA) will be used. Main activities : Data exploration and visualization Biostatistics (e.g. statistical tests, survival analysis) Machine learning (unsupervised and supervised) Mathematical modeling of drugs-tumor-immune interactions Mixed-effects statistical modeling Additional activities : Review the literature Analyze the requirements of the project partners Write synthetic and meaningful reports and scientific publications Technical skills and level required : Excellent programing skills (python/R) Familiarity with real-world data analysis Strong background in statistics Ideally, experience in mixed-effects modeling ------ Sebastien Benzekry, PhD Inria – Inserm team COMPO COMPutational pharmacology and clinical Oncology Centre Inria Sophia Antipolis – Méditerranée Centre de Recherches en Cancérologie de Marseille Inserm U1068, CNRS UMR7258, Institut Paoli-Calmettes Pharmacy faculty, Aix-Marseille University https://www-sop.inria.fr/members/Sebastien.Benzekry/ https://team.inria.fr/compo/
