Expert II / Senior Expert I, Data Science, New Targets
Tasks
- Build scalable reproducible data science workflows and computational pipelines
- Communicate scientific findings to technical and non technical stakeholders
- Design and execute studies for target identification validation and translational research
- Develop and apply advanced statistical machine learning and AI methods
- Ensure data quality reproducibility and scientific rigor
- Evaluate and implement emerging AI technologies
- Extract actionable biological insights from complex datasets
- Lead analysis and integration of multi modal omics datasets
- Share knowledge and improve best practices
Perks/Benefits
Skills/Tech-stack
Bulk RNA-seq | Data integration | Deep learning | Digital Pathology | High Performance | High-Performance Computing | Machine Learning | Pandas | Performance Computing | Proteomics | Python | R | RNA-seq | SQL | Series analysis | Single-cell | Single-cell RNA-seq | Spatial transcriptomics | Statistical modeling | Time Series | Time Series Analysis | WES | WGS | Workflow Management
Education
Roles
Biologist | Computational Biologist | Data Scientist | Scientist
Regions
Countries
States
Cities
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