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Post-doctoral position – Machine Learning for identifying biomarkers of response to RT +/- immunotherapy in cervical cancer

Context: A postdoctoral position is available to work on a PRT-K (Programme de Recherche Translationnel) project entitled « Prediction of response to combined chemoradiation +/- immunotherapy treatments in locally advanced cervical cancers: development of a radiomic signature of lymphocyte infiltrate » in the Molecular Radiotherapy and Therapeutic Innovation INSERM U1030 unit at Gustave Roussy Cancer Campus, Paris. This enthusiastic project in collaboration with the radiotherapy and pathology medical departments of Gustave Roussy aims to identify biomarkers for prediction of response to RT +/- immunotherapy based on Magnetic Resonance images. Topic: Cervical cancer is the 12th most common cancer in women in France. Clinical trials are in progress to validate the clinical benefit of the combination of radiotherapy (RT) + immunotherapy (IO) in locally advanced cervical cancers. This project aims at determining, based on retrospective and prospective data, a radiomics profile of response and resistance to RT +/- IO treatments based on magnetic resonance images. To do so, a radiomics signature assessing the amount of tumor-infiltrating CD8 T-cells based on MR images will be developed. In parallel, correlations between dynamics changes in radiomics features and immunological content for RT +/- IO treatments will be characterized with the goal to develop predictive signatures of local, loco-regional, distant recurrence-free and overall survivals. Optimizing the information generated by routine imaging performed during treatment will provide insights for candidate biomarkers, which will constitute valuable tools to be used in a personalized therapeutic approach. We are looking for a highly motivated computing scientist with a strong academic and scientific background in Machine Learning and a real interest in medicine and oncology. Skills requested: - A PhD degree in Computer Science, Applied Mathematics or Electrical Engineering with an emphasis on Machine Learning - At least 3 years project experience in AI/ML/DL/MI (included PhD) - Good publication record - Excellent oral and written communication skills Work environment: The candidate will integrate a multidisciplinary team composed of physicists, physicians, engineers and biologists, with dedicated research in radiomics and artificial intelligence for RT +/- IO purposes. U1030 is part of Gustave Roussy Cancer Campus which is a world class cancer center leader in immunotherapy, precision medicine and cancer biology. The brachytherapy department is specialized in the management of gynecological cancers. It treats 200 patients with cervical cancer per year. It is particularly active in the development of combination strategies with targeted molecular therapies and immunotherapy (phases I and II). The department of Pathology has a strong expertise in gynecological pathology and has developed an experience in immuno-oncology.

Conditions of employment: the position is offered for 24 months, starting as soon as possible. Salary: depending on experience

Apply: applicants should send a cover letter summarizing past experiences and research interests, a CV including a list of publications, and contact information for two references to Dr Charlotte Robert, Associate Professor at Paris Saclay University.


Mots-clés
cervical cancer; immunotherapy; machine learning; oncology
Établissement
Gustave Roussy
94805 Villejuif   
Type de contrat
CDD
Type de poste
Postdoc
Date limite
15/09/2020
Informations de contact

Charlotte ROBERT ch.robert@gustaverousy.fr