20 meilleures offres (deep learning, paris (75)) (à pourvoir)

Bio Informatician,
GPI France —Paris (75)
- De 40 000 € à 45 000 € par an
- Temps plein
- Niveau Doctorat
- Anglais
- Master
Postuler rapidement
Deep Learning Engineer
Implicity —Paris (75)
- De 45 000 € à 55 000 € par an
- Télétravail partiel
- Niveau Doctorat
- Anglais
- Master
Machine Learning Scientist
Nucs AI —Paris (75)
- Temps plein
- Télétravail partiel
- Niveau Doctorat
- Intelligence artificielle
- Python
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Front-end Developer Junior
Odaseva —Paris (75)
- De 42 000 € à 50 000 € par an
- Temps plein
- Informatique
- Anglais
- Master
Founding Machine Learning Scientist
Noïa Labs —Paris (75)
- Temps plein
- Télétravail partiel
- Informatique
- Niveau Doctorat
- Machine learning
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Machine Learning Engineer (Detect & Track Distillation)
Harmattan AI —Paris (75)
- Temps plein
- Intelligence artificielle
Open-Source Machine Learning Engineer - EMEA Remote
Hugging Face —Paris (75)
- Temps plein
- Télétravail
- Machine learning
- Python
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Consultant·e Machine Learning & AI Engineer – Jeune diplômé·e (H/F)
Wavestone —Puteaux (92)
- Temps plein
- Ingénierie
- Anglais
- Master
Ingénieur·e R&D Deep Learning — Cœur technologique Xpdeep
Xpdeep —Paris (75)
- De 60 000 € à 90 000 € par an
- Temps plein
- Niveau Doctorat
- C++
- Python
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Data Scientist | Machine Learning Engineer – Practice IA MARGO
Margo Conseil —Paris (75)
- De 50 000 € à 80 000 € par an
- Machine learning
- Intelligence artificielle
Jeune Docteur R&D - H/F
Talan —Paris (75)
- Temps plein
- Niveau Doctorat
- Informatique
- Anglais
- Actionnariat salarié
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Modèles fondamentaux multimodaux pour les neurosciences // Multimodal Foundation Models for Neuroscience
Institut Polytechnique de Paris Télécom Paris —Palaiseau (91)
- Informatique
- Niveau Doctorat
- Informatique
Modèle fondamental multimodal vision‑langage pour le raisonnement en santé // Multimodal Medical Vision-Language Foundation Model for Healthcare Reasoning
Institut Polytechnique de Paris Télécom Paris —Palaiseau (91)
- Informatique
- Niveau Doctorat
- Informatique
Research Engineer — Robot Learning
Bleu Robotics —Paris (75)
- Temps plein
- Niveau Doctorat
- Anglais
- Python
Postuler rapidement
DGSI - AI/ML Engineer (H/F)
La Banque de France —Paris (75)
- Informatique
- Anglais
- Master
Data Scientist IA (H/F)
CPAM DES YVELINES —Versailles (78)
- De 39 000 € à 40 000 € par an
- Master
- SQL
- Machine learning
il y a 12 jours
PhD Position F/M PhD - Robust few-shot learning for foundational model in CT imaging
Inria —Gif-sur-Yvette (91)
- 2 300 € par mois
- Niveau Doctorat
- Anglais
- Master
Machine Learning Researcher / Engineer (Foundation Models)
Pathway —Paris (75)
- Temps plein
- Télétravail
- Niveau Doctorat
- Anglais
Postuler rapidement
Machine Learning Engineer - Model Optimization
Zendar —Paris (75)
- De 75 000 € à 90 000 € par an
- Temps plein
- Anglais
- C++
- Machine learning
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PhD Position F/M EDF Lab Paris Saclay PhD Cifre Deep PDE Surrogates and Inverse Problems for Industrial Applications
Inria —Saclay (91)
- Niveau Doctorat
- Anglais
- Master

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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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Affinez votre recherche

deep learning emplois - paris (75)

Bio Informatician,

Deep Learning Engineer

Machine Learning Scientist

Front-end Developer Junior

Founding Machine Learning Scientist

Machine Learning Engineer (Detect & Track Distillation)

Open-Source Machine Learning Engineer - EMEA Remote

Consultant·e Machine Learning & AI Engineer – Jeune diplômé·e (H/F)

Ingénieur·e R&D Deep Learning — Cœur technologique Xpdeep

Data Scientist | Machine Learning Engineer – Practice IA MARGO

Jeune Docteur R&D - H/F

Modèles fondamentaux multimodaux pour les neurosciences // Multimodal Foundation Models for Neuroscience

Modèle fondamental multimodal vision‑langage pour le raisonnement en santé // Multimodal Medical Vision-Language Foundation Model for Healthcare Reasoning

Research Engineer — Robot Learning

DGSI - AI/ML Engineer (H/F)

Data Scientist IA (H/F)

PhD Position F/M PhD - Robust few-shot learning for foundational model in CT imaging

Machine Learning Researcher / Engineer (Foundation Models)

Machine Learning Engineer - Model Optimization

PhD Position F/M EDF Lab Paris Saclay PhD Cifre Deep PDE Surrogates and Inverse Problems for Industrial Applications

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