Director, Data Science and Digital Health - Hematology, Oncology
US026 PA Spring House - 1400 McKean Rd, United States
USD 164K-282K Executive-level Full Time
Tasks
- Apply statistical modeling and machine learning for high dimensional data
- Develop data and technical requirements
- Develop diagnostic planning and strategy
- Direct data science programs for hematology oncology early development
- Drive real world evidence analysis
- Lead end to end data science solutions for clinical development teams
- Lead matrix environment cross functional collaborations
- Manage timelines and deliver key results
Perks/Benefits
- N/A
Skills/Tech-stack
Artificial Intelligence | Biostatistics | Cell Profiling | Clinical phenotyping | Computer Vision | Data Privacy | Data Science | EHR | Generative AI | Genomics | Imaging analytics | Insurance claims | Machine Learning | Matrix Management | Medical Imaging | Medical Imaging Analytics | Outcomes Research | Pharmacoepidemiology | Portfolio Management | Precision Medicine | Product Portfolio Management | Product portfolio | Real-World Evidence | Statistical modeling
Education
MD | Master of Science | PhD
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