20 meilleures offres (research scientist, paris, a8) (à pourvoir)

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- Ingénierie
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- Temps plein
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SCOR —Paris (75)
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il y a 1 jour
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Alice & Bob —Paris (75)
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SCOR —Paris (75)
- Temps plein
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NWARPS - Nucleation, Wetting, Adhesion, and Rheology of Polymeric Surfaces
PARIS SCIENCES ET LETTRES (PSL) —Paris (75)
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Chief of staff
Bleu Robotics —Paris (75)
- Temps plein
- Anglais
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Deep Learning Engineer
Implicity —Paris (75)
- De 45 000 € à 55 000 € par an
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- Niveau Doctorat
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Quantum Compilation Scientist
Alice & Bob —Paris (75)
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il y a 2 jours

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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

Postuler rapidement

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research scientist emplois - paris, a8

Bio Informatician,

Doctorant H/F H/F

Field Application Scientist, World

Data Scientist (H/F) - CDI

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Final year internship - Operations Research Consultant

Operations Research Consultant

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Machine Learning Scientist

Research position in Quantum Hamiltonian Learning

Quantum Applications Research Scientist

Sustainable Finance Intern

Analyste UX, UI & Industrialisation du Design – Digital Customer – CDI

Center of Excellence (COE) Intern

NWARPS - Nucleation, Wetting, Adhesion, and Rheology of Polymeric Surfaces

Programme Specialist (Global Ocean Observing System)

Chief of staff

Deep Learning Engineer

Quantum Compilation Scientist

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

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