En poursuivant votre navigation sur ce site, vous acceptez le dépôt de cookies dans votre navigateur. (En savoir plus)
Portail > Offres > Offre UMR7083-GUIGIN-002 - Postdoc (H/F) – Programmation moléculaire pour la détection de signatures microARN

Postdoc (M/F) - Molecular programming for microRNA detection technologies

This offer is available in the following languages:
Français - Anglais

Date Limite Candidature : lundi 23 août 2021

Assurez-vous que votre profil candidat soit correctement renseigné avant de postuler. Les informations de votre profil complètent celles associées à chaque candidature. Afin d’augmenter votre visibilité sur notre Portail Emploi et ainsi permettre aux recruteurs de consulter votre profil candidat, vous avez la possibilité de déposer votre CV dans notre CVThèque en un clic !

Faites connaître cette offre !

General information

Reference : UMR7083-GUIGIN-002
Workplace : PARIS 05
Date of publication : Monday, July 12, 2021
Type of Contract : FTC Scientist
Contract Period : 24 months
Expected date of employment : 1 September 2021
Proportion of work : Full time
Remuneration : 32-47 k€ according to the candidate experience
Desired level of education : PhD
Experience required : 1 to 4 years

Missions

Our team is looking for a talented and motivated postdoc to work on microRNA detection technologies. The postdoctoral position, funded by an ERC starting grant (MoP-MiP), is open at the Gulliver laboratory (ESPCI Paris, PSL Research University). The project aims at combining molecular programming concepts and microfluidics to build the next generation of microRNA detection assays.

Background information: https://blog.espci.fr/guillaumegines/erc-mop-mip/
Publications or interest : https://blog.espci.fr/guillaumegines/publications/

Activities

MicroRNAs are short endogenous RNA strands that finely tune gene expression by post-transcriptional regulation. Stably released in bodily fluids, these are foreseen as promising liquid biopsies biomarkers in a wide range of clinical applications. Analytical challenges however, remain to be tackled, including sensitivity, specificity, multiplexing and quantification.
The successful candidate will focus on the design and experimental implementation of sophisticated biochemical circuits, akin in their architecture to neural networks, capable of integrating the concentration of many microRNAs and report a response according to the concentration pattern. She/he will build on the strong expertise of the laboratory on the conception and assembly of molecular programs made out of DNA oligonucleotides and enzymes, and capable of information-processing. The objectives of the research are i) to review the literature for defining robust microRNA classifiers for cancer monitoring, ii) design and optimize in-moleculo microRNA classifiers and iii) validate the approach on clinical samples.
Activities
- Literature review and data compiling
- Planification and realization of biochemical experiments (assembly of biochemical reaction networks)
- Data analysis and regular (weekly) reporting
- Scientific communication (writing of scientific publications, conference attendance)

Skills

PhD in biochemistry, molecular biology or a related field.
- The candidate is expected to have a strong background in standard molecular biology technique (enzymatic assays, DNA amplification, RNA extraction, microscopy…)
- Excellent communication skills in both written and spoken English are of prime importance
- The successful candidate is expected to navigate in a highly interdisciplinary environment and have independent thinking
- A previous experience in the field of DNA computing, molecular programming or machine learning will be a plus.

Work Context

https://www.gulliver.espci.fr/?-home-

We talk about it on Twitter!