6 meilleures offres (omics data scientist, paris 19e, a8) (à pourvoir)

Bio Informatician,
GPI France —Paris (75)
- De 40 000 € à 45 000 € par an
- Temps plein
- Niveau Doctorat
- Anglais
- Master
Postuler rapidement
Director, Biopharma Data Science
Owkin —Paris (75)
- Temps plein
- Télétravail partiel
- Informatique
- Niveau Doctorat
- Anglais
Postuler rapidement
OMICs expert
Spore.Bio —Paris (75)
- Télétravail partiel
- Niveau Doctorat
- Anglais
Generative AI and Multi-Agent Systems Research Engineer (M/F) H/F
Institut Curie —Paris (75)
- De 36 000 € à 51 000 € par an
- Informatique
- Niveau Doctorat
- Bases de données
Postuler rapidement
il y a 5 jours
Senior AI Scientist
Owkin —Paris (75)
- Temps plein
- Télétravail partiel
- Niveau Doctorat
- Anglais
- Intelligence artificielle
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AI Platform & MLOps Engineer (M/F) H/F
Institut Curie —Paris 5e (75)
- De 36 000 € à 51 000 € par an
- Bases de données
- SQL
- Machine learning
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il y a 5 jours

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Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : omics data scientist (paris 19e, a8)

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Bio Informatician,

GPI France
Paris (75)

Postuler rapidement

Détails de l'emploi

CDI | Temps plein
De 40 000 € à 45 000 € par an

Qualifications

Français
Bio-informatique
Niveau Doctorat
R
UNIX
Anglais
Master
Bash
Machine learning
Linux
Compétences en communication
Python
Shell scripting

Description complète du poste

Role Overview

As a Bioinformatician, you will play a pivotal role in developing and optimizing bioinformatics pipelines for

transcriptomic data analysis, with a specific focus on Bulk RNA-seq and Single-Cell RNA-seq. You will transform

raw sequencing data into meaningful biological insights to drive translational research and regenerative medicine.

Location: Paris

Key Responsibilities

Pipeline Development & Data Processing

Design, implement, and optimize robust bioinformatics workflows for NGS data analysis.

Manage the end-to-end analytical process for Bulk RNA-seq and Single-Cell RNA-seq datasets.

Ensure the reproducibility, scalability, and efficiency of developed pipelines.

Perform Quality Control (QC) on raw sequencing data.

Execute sequence alignment against reference genomes or transcriptomes.

Generate and manage count matrices and normalized datasets.

Apply preprocessing procedures and batch-effect corrections when required.

Statistical Analysis & Biological Interpretation

Conduct statistical analyses to identify differentially expressed genes (DEGs) using industry-standard tools.

Perform functional enrichment and pathway analysis using key databases (e.g., Gene Ontology (GO),

KEGG, Reactome, GSEA, Enrichr, or similar).

Translate computational results into relevant, actionable biological evidence.

Generate advanced data visualizations to facilitate result interpretation (including heatmaps, volcano plots,

clustering analysis, UMAP, t-SNE, and custom reports).

Multi-Omics Integration & Collaboration

Integrate transcriptomic data with other multi-omic layers, including:

ATAC-seq and scATAC-seq

Quantitative proteomics

Other multi-omic datasets

Contribute to uncovering the molecular mechanisms regulating cellular states, pathological processes, or

regenerative pathways.

Document all analyses meticulously and draft comprehensive technical reports.

Collaborate closely with biologists, data scientists, and Artificial Intelligence (AI) / Machine Learning (ML)

specialists.

Support the integrated interpretation of experimental and computational findings.

Requirements & Qualifications

Technical Skills & Experience

Proficiency in R (Bioconductor) and Python for advanced bioinformatics analysis.

Strong command of Linux/Unix environments and Bash scripting.

Proven track record in analyzing bulk and single-cell RNA-seq (scRNA-seq) data.

Solid experience utilizing NGS bioinformatics pipelines (covering QC, alignment, quantification, and

downstream analysis).

Deep foundational knowledge in transcriptomics, genomics, and computational biology.

Demonstrated ability to bridge the gap between experimental data and computational analysis.

Preferred Qualifications

Professional experience in the fields of stem cells, regenerative medicine, or translational research.

Familiarity with Machine Learning (ML) approaches applied to biological data.

Soft Skills

High precision and strong attention to detail.

Ability to work autonomously and manage complex datasets and projects.

Excellent organizational and problem-solving skills.

Strong communication skills and a natural aptitude for working within multidisciplinary teams.

Scientific curiosity, an innovative mindset, and a results-oriented approach.

Education & Languages

Education: Master’s Degree (M.Sc.) or Ph.D. in Bioinformatics, Computational Biology, or a closely related

discipline.

Languages: Proficiency in French and professional/scientific English (written and verbal).

Rémunération : 40 000,00€ à 45 000,00€ par an

Lieu du poste : En présentiel

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omics data scientist emplois - paris 19e, a8

Bio Informatician,

Director, Biopharma Data Science

OMICs expert

Generative AI and Multi-Agent Systems Research Engineer (M/F) H/F

Senior AI Scientist

AI Platform & MLOps Engineer (M/F) H/F

More jobs to discover

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : omics data scientist (paris 19e, a8)

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