Job title: Oncology – Bioinformatics – Post-Doc (All Gender)

• Location: Sanofi, Vitry-sur-Seine & Gustave Roussy, Villejuif
• Hiring Manager: Christophe Marcireau

About the job

Sanofi, Gustave Roussy, Inserm, Institut Polytechnique de Paris and the University of Paris-Saclay are committed to developing personalized medicine in France through a patient-centered oncology cluster – the Paris Saclay Cancer Cluster. The Paris Saclay Cancer Cluster, a center bringing together key players in oncology innovation.

The primary objective of the project is to identify novel therapeutic targets for which no pharmacological agents currently exist, with a specific focus on targets whose inhibition could prevent or delay therapy resistance.

The successful candidate will work on the integration of multi-omics data, including Single-cell omics (scRNA-seq, scATAC-seq, scDNA-seq) as well as bulk RNA-seq and WES/WGS data.

The candidate will also lead spatial mapping data analysis for PDX models derived from biopsies of lung cancer patients treated with TK inhibitors (EGFRi, ALKi) both before and after therapy to capture cancer cell heterogeneity and understand the impact of the tumor microenvironment (TME) on the development of drug resistance.

Furthermore, the candidate will play a critical role in identifying key drivers of bypass signaling pathways in rare drug-tolerant persister cancer cells. This work will involve close collaboration with two postdoctoral researchers, who are actively conducting the wet-lab components of the project.

In this exciting role as a part of the R&D (SANOFI) the candidate will be embedded within U981 INSERM Unit in Gustave Roussy. In this hands-on role the successful candidate will work to design high content experiments, to manage data, and to use advanced analytical and computational techniques to identify new targets, treatments combinations and data-driven biomarkers for lung cancer.

Main responsibilities:

• He/she will perform the integration of multi-omics data (Single-cell, bulk RNA-seq, CRISPR-screen, WES/WGS) to identify genes involved in resistance to TK inhibitors (EGFRi, ALKi);
• He/she will contribute to the Single-cell, CITE-seq and scATAC-seq data analysis, including data normalization, statistical analysis, Cell Type/State Analysis, Cell to cell interaction, Trajectory inference;
• He/she will perform spatial mapping data analysis to capture cancer cell heterogeneity and understand the impact of the TME on drug resistance;
• Analyze and utilize best practice for bulk RNA-Seq and Single cell data analysis;
• He/she will address novel analytical challenges and will automate established pipelines to perform them in a robust manner;
• Proactively engages with project teams to define crisp scientific questions that can be addressed with appropriately powered computational strategies;
• Applies scientific expertise and judgement to interpret and present results, in order to support research projects;

• Publish/present findings in peer-reviewed journals/scientific conferences.

About you:

Educational requirements:

• Ph.D. in bioinformatics, computational biology, statistics, or related fields, obtained no more than 3 years ago.

Skills that you have (mandatory):

• An ideal candidate will be collaborative, self-directed and possess the following competencies;
  • Strong experience in NGS data analysis and pipeline development, statistics and data visualization;
  • Strong expertise in analyzing and integrating CRISPR-screen, bulk RNAseq, scRNA-seq, scATAC-seq and CITE-seq data;
  • Prior expertise in oncology, immune-oncology or immunology;
  • Familiarity with the reference datasets for gene expression, mutations, and related platforms (TCGA/GTEX/Human Cell Atlas);
  • Proficiency in scripting programming (R/Python/bash) and in statistical analysis;
  • Strong written and verbal communication skills;
  • Fluent in English (writing and speaking);
  • The candidate must demonstrate dynamism, autonomy, excellent communication and organization skills, rigor and agility, strong interpersonal skills, and team spirit;
  • Ability to work transversally across sites and functions.

Skills that you could improve in this new position (to develop):

• Contribution to multi-disciplinary collaborations;

Skills that you could offer in addition (nice to have):

• Extensive experience working with genetics data is a plus;
• Experience with machine learning/deep learning techniques is a plus;

CONTACT

Please submit a cover letter summarizing your past experiences and CV including the names and contact information of 2 references via email to Sergey Nikolaev and Galina Boldina:

sergey.nikolaev@gustaveroussy.fr

galina.boldina@sanofi.com

Why choose us?

This project, which is unique in Europe, aims to unite leading scientific, human, and technological expertise to shape the future of personalized medicine and accelerate the discovery of customized cancer treatments. The goal within ten years is to provide rapid bedside diagnostics, model diseases, and develop personalized therapies tailored to each patient.

Are you ready to be part of this transformative journey? Join us in advancing drug discovery and development. In this role, you’ll work on cross-functional projects, ensuring smooth transitions of research programs, and providing critical scientific and technical expertise.

Pursue Progress. Discover Extraordinary.

Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together.

At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. 

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!