Senior Manager, Data Science
Tasks
- Apply machine learning across multiple data modalities
- Assess missing data and censoring
- Build reproducible version controlled data pipelines
- Collaborate with cross functional scientific teams
- Communicate analytics to technical and non technical stakeholders
- Conduct statistical analyses on high dimensional data
- Contribute to statistical analysis plans
- Develop data quality frameworks
- Develop predictive models at scale
- Drive exploratory and confirmatory analyses
- Implement cross validation and calibration assessment
- Manage resources to meet deliverable timelines
- Perform code reviews and technical mentorship
- Perform survival and longitudinal modeling
- Produce scalable automated analytical result delivery
Perks/Benefits
Skills/Tech-stack
AWS | Azure | Calibration | Causal Inference | Cross-validation | Data Analysis | Data Pipelines | Data Quality | Data Visualization | Databricks | Deep learning | Explainable AI | Flow Cytometry | Genomics | Imaging | Language Processing | Longitudinal data | Longitudinal data analysis | Machine Learning | Mixed-effects | Mixed-effects models | NLP | Natural Language | Natural Language Processing | Proteomics | Python | R | SQL | Survival analysis | Version control
Education
Roles
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