About Julie
- Metagenomics of extreme soils → Scientific Reports 2025 [nature.com/articles/s41598-025-94915-0]
- Automated NGS analysis pipelines for Oncology projects → Nature Comm. 2021, Nature Comm. 2022, BioRxiv 2024
- Transcriptomics and post-harvest conservation → Postharvest Biology and Technology 2019, Acta Horticulturae 2023
- RIBOSMK | Ribosome profiling [gitlab.com/RipollJ/ribosome_profiling]
- ALTSPLICE | Alternative splicing [gitlab.com/RipollJ/altsplice]
- TRAIN | Translatome regulations [github.com/Translatome/TRAIN]
- Scientific expertise + ability to explain complex topics
- Project management, interdisciplinary communication
- Experience in training, supervision, conference organization
- Adaptability → biotech, health, environment, AI projects
French
Native or bilingual
English
Fluent
Experience
- DatavivoExpert Data Scientist & EngineeringJuly 2025 - Today (1 year and 1 month)Montpellier, FranceServices offered:
- Data analyses with detailed reports
- Bioinformatics analyses with detailed reports
- Development of automated and reproducible data analysis pipelines (Snakemake / Nextflow / MLflow / QIIME2 / Shell)
- Code optimization for scalability
- Scientific advice & Assistance with article writing
- ITKData ScientistAGRICULTURESeptember 2025 - January 2026 (4 months)Montpellier, FranceContextYield prediction for an American agricultural cooperativeImpact- +30% data- +5% performanceMissions- Data exploration- Climate and soil data analysis- Statistical analyses- Machine learning (RF, SVM, clustering)- Code optimization and maintenance for sustainable scalabilityTechs- Conda, Docker, CI/CD, Git, Pycharm- Python, Pandas, Scikit-learn, Numpy, Matplotlib, Seaborn, Scipy
- LIRMMComputer Science Researcher – Data Science & EngineeringPUBLIC SECTORJanuary 2019 - October 2023 (4 years and 9 months)Montpellier, FranceContextProject management and NGS Data Analysis for 8 R&D projects applied to oncologyRNA-seq, RIBO-seq, m6A-seq, altSplice, POL-seq, scRNA-seqImpactPublications of developed methods and obtained results in Nature CommunicationsMissions
- Big data management
- Work on computing cluster in HPC environment
- Development and execution of NGS analysis pipelines
- Improvement of existing Java tools for open access
- Time series data analysis
- Statistical analyses: Statistical learning, Machine Learning, Deep learning
- Development of new visualization methods
- Bayesian and Monte Carlo modeling
- Participation in team leadership
- Training of interns and an engineer
- Communications and technical document writing
- Organization of training sessions on workflow managers, good coding practices, and Python programming
Techs- HPC: Slurm, Qsub, Tmux
- Snakemake, Conda, Docker, CI/CD, Git
- Python, Pandas, Scikit-learn, Numpy, Matplotlib, Seaborn
- R, DESeq2, kissDE, ggplot2, Seurat, STARsolo, STAR, etc
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Education
- AWS Cloud Practitioner (CLF-C02)DataCamp2026
- Microsoft Azure Fundamentals (AZ-900)Data Camp2026