Data Scientist (Bioinformatics) for CODA Democra-MITS project
Tasks
- Build data preprocessing pipelines
- Create data visualizations dashboards and analytical reports
- Curate clean harmonize biomedical datasets
- Design multicenter data collection systems
- Develop machine learning models for diagnostic variable selection
- Evaluate sensitivity specificity kappa AUC
- Implement data monitoring tools and consistency checks
- Mentor junior analysts and partner site data teams
- Run within case comparisons across diagnostic protocols
- Support scientific publications presentations and consortium meetings
- Validate model performance
Perks/Benefits
- N/A
Skills/Tech-stack
AUC | Data Visualization | Data Wrangling | Data cleaning | Data integration | Feature Selection | Git | GitHub | Jupyter | Jupyter Notebook | Kappa | Machine Learning | Model Validation | Python | R | REDCap | Reproducible Research | Sensitivity | Specificity | Statistical modeling | Supervised Learning | Unsupervised Learning | Version control
Education
Roles
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