Mots-Clés

single cell RNA sequencing Spatial transcriptomic immunology, immunotherapy, cancer

Description

We are looking for a highly motivated engineer for the lab of Julie Helft (Institut Cochin, Paris) who was recently awarded an ERC grant
funding for 5 years.

The project include the analysis of single cell RNA sequencing and of spatial transcriptomic data generated from human and mouse
tumors. The datasets will be generated by the lab and will also include publicly available datasets

The bio-informatician will be an author on the publication steming from the wet-lab

For more information please consult this publication from the lab:
Nalio Ramos R, Missolo-Koussou Y, Gerber-Ferder Y, Bromley CP, Bugatti M, Núñez NG, Tosello Boari J, Richer W, Menger L,
Denizeau J, Sedlik C, Caudana P, Kotsias F, Niborski LL, Viel S, Bohec M, Lameiras S, Baulande S, Lesage L, Nicolas A, Meseure D,
Vincent-Salomon A, Reyal F, Dutertre CA, Ginhoux F, Vimeux L, Donnadieu E, Buttard B, Galon J, Zelenay S, Vermi W, Guermonprez P,
Piaggio E, Helft J. Tissue-resident FOLR2+ macrophages associate with CD8+ T cell infiltration in human breast cancer. Cell. 2022 Mar
31;185(7):1189-1207.e25. do: 10.1016/j.cell.2022.02.021. Epub 2022 Mar 23. PMID: 35325594.

Required skills:
Master in Data science, Computer Science or Computational Biology.
Previous experience in single-cell data analysis and/or multi-omics integration tools.
Strong programming (R and Python) skills.
Previous experience in collaborations with wet-lab biologists will be a plus.