Biomarker Data Scientist
Tasks
- Apply multiplicity control
- Build reproducible data analysis workflows
- Collaborate on governed analytics platforms
- Contribute to regulatory meetings
- Define QC and normalization strategies
- Design and execute longitudinal analyses
- Develop biomarker dashboards and reports
- Develop quantitative analysis strategies
- Ensure ALCOA plus compliance
- Integrate multi omics biomarker data
- Interpret and report results for program decisions
- Lead Git first collaboration workflows
- Mentor teams on R bioinformatics practices
- Own end to end biomarker statistics
- Perform time to event analysis
- Support reproducible research and traceability
Perks/Benefits
- N/A
Skills/Tech-stack
ADaM | Bioconductor | CDISC | CI/CD | Classification | Clustering | Containerization | Databricks | Dimensional data | Dimensionality Reduction | Feature Engineering | Git | High Dimensional Data | Longitudinal Modeling | MLflow | Machine Learning | Multiplicity adjustment | Python | R | R Shiny | Regularized models | SAS | Snowflake | Spotfire | Survival analysis
Education
Roles
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