Data scientist position for multi-OMICs data integration

A data scientist position is available within the laboratory of Dr Mickaël Ménager at the Imagine Institute in Paris, France (

Accélérer la recherche

Autoimmunity/inflammation Through RNAseq Analysis at the single Cell level for Therapeutic Innovation

Our lab is one of the main research team, involved in a big research hospital-university project (RHU), funded by the French national agency of research (ANR) and involving collaborations with national and international top-level scientists and clinicians from Imagine, Curie, Pasteur, CEA, INRA and industrial from Sanofi and Ariana Pharma. In this project, we are proposing to revisit rare monogenic disorders, characterized by autoimmunity and/or autoinflammation, at the single-cell level. By combining transcriptomic with proteomic, and epigenomic analyses performed on cells from the peripheral blood, in addition to lipidomic and metabolomic, we are aiming to identify so-called “pathological” cell clusters, mostly enriched of cells from patients as compared to controls. From such “pathological” cluster of cells, we intend to extract new molecular signatures, biomarkers that will help to redefine patients ‘stratification at the molecular level. We are now looking for a very talented and ambitious computational biologist, who will embark with us, on this journey to redefine autoimmunity and autoinflammation at the molecular level.


Expectations of the current post

The data scientist will be expected to apply its computational skills to the use and development of machine learning algorithms, in order to integrate altogether our multi-OMICs datasets and to infer in an unbiased way multi-OMICs networks specifically engaged upon autoinflammatory and autoimmune conditions.


We are looking for a highly motivated computational biologist (PhD/Engineer diploma or equivalent) with a proven track-record of independent working. The candidate must have first-class skills in descriptive and inferential statistics (hypotheses testing), statistical modeling (linear models, mixed models, …) and a sound knowledge of statistical methods in general. Strong programming skills (python, R) are required, and a background in network inference and machine learning algorithms (SVM, random forest, neural networks, …) is preferred. Candidates who master Next-generation sequencing analyses at all levels, are strongly encouraged to apply. Knowledge of Immunology in general and autoinflammation in particular would be ideal.

Salary and length of contract

The contract will start as soon as possible for a period of 4 years and possibility of transition towards a permanent position (CDI) as Imagine employee.


Application details

Applications in English including a letter of motivation, a detailed CV and contacts of appropriate referees should be sent to with the reference Imagine_192.