Associate Director Biomarker Data Sciences
Tasks
- Build predictive models and automated reporting processes
- Collaborate on biomarker assay experiments
- Communicate biomarker strategy and results
- Coordinate biomarker analyses for clinical trials and real world data
- Develop computational methods for patient segmentation
- Develop implement and apply statistical and machine learning algorithms
- Develop predictive biomarkers and precision medicine models
- Lead biomarker related analyses and revisions
- Manage resources for quality deliverables
- Partner on statistical analysis plans for biomarkers and diagnostics
- Perform statistical analyses of high-dimensional omics data
- Review biomarker analysis plans
- Support health authority responses and publications
Perks/Benefits
Skills/Tech-stack
Biomarker Analysis | Clinical trials | Cloud Computing | Data Analysis | Data Visualization | Deep learning | Disease Pathways | Event analysis | Gene Expression | Language Processing | Longitudinal data | Longitudinal data analysis | Machine Learning | Molecular Biology | Natural Language | Natural Language Processing | Omics Data | Omics Data Analysis | Patient segmentation | Precision Medicine | Predictive Modeling | Python | R | Real-World Data | SQL | Sequencing | Statistical Analysis | Time to Event | Time to event analysis
Education
Roles
Regions
Countries
States
Cities
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