Data Scientist, Lab & Protein Data
Tasks
- Apply statistical rigor to multi condition experimental data
- Build anomaly detection and QC models
- Connect experimental results to protein sequence and structure
- Create structured documented benchmark datasets
- Define data quality for each assay type
- Specify and improve automated data pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Batch Effect Analysis | Bioinformatics | Data pipeline | Machine Learning | NumPy | Pandas | Process control | Python | Quality Control | Statistical Analysis
Education
N/A
Roles
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