Post-doc Position in Data Intensive Approaches to Address Antimicrobial Resistance

Type de poste
Niveau d'étude minimal
Durée du poste
Contrat renouvelable
Contrat non renouvelable
Date de prise de fonction
Date de fin de validité de l'annonce

8, 8bis Rue Charles V
75004 Paris

Anshu Bhardwaj
Email du/des contacts

We are looking for a motivated post-doc to work on an innovative project about understanding molecular determinants of antimicrobial resistance (AMR) in non-tubercular mycobacteria & subsequently other priority pathogens.

You will specifically focus on:

(i) developing bioinformatics/statistics methods to create marker panels for mycobacteria and genotype-phenotype correlation studies for multi-drug resistance.

(ii) multi-omic disease network analysis to understand emergence of AMR.

(iii) developing a pipeline and workflow system for species and strain delineation and variant clustering.

Essential Requirements:
PhD in Bioinformatics, computational biology, datamining, biostatistics, population and/or statistical genetics, or equivalent.
Good programming skills (perl/python/java/C++ etc, SQL, R), proficiency in Unix/Linux and cluster experience.
Prior experience working with omics data analysis (WGS metagenomics, RNA-seq, genotyping data),or machine learning or systems biology, as demonstrated through past research accomplishments, would be ideal.
Good communication skills
Desirables: Experience in data mining/machine learning, biomarker detection is a plus. Knowledge of infectious disease biology will be added advantage.

Timeline: The position is available right now

The project is led by Dr. Anshu Bhardwaj, a Long-term Fellow at the Center for Research and Interdisciplinarity. Besides working within her team, you will be embedded an exciting new research collaboratory (collaborative laboratory), on the interface of life, learning and digital sciences. We are located in the center of Paris, at the Center for Research and Interdisciplinarity.