Principal Scientist, Predictive Modeling & Applied AI
NY office OR Remote - US
R
USD 190K-259K (estimate) Senior-level Full Time
Tasks
- Apply machine learning deep learning causal inference multimodal modeling for applied AI
- Author abstracts manuscripts and external publications
- Develop and deliver training on predictive models to partners
- Develop and validate digital twins and patient level simulation models
- Drive scientific lead client engagements for predictive modeling
- Ensure prediction models are scientifically rigorous clinically grounded
- Lead design development validation of predictive modeling solutions
- Partner with Product Engineering and Data teams to build scalable predictive analytics capabilities
- Represent company at industry conferences and forums
- Translate complex methods into decision relevant insights
Perks/Benefits
- 401k contribution
- Continuous learning opportunities
- Flexible paid time off
- Flexible work hours
- Mental well-being tools
- Parental benefits
- Travel support
Skills/Tech-stack
Causal Inference | Claims data | Clinical Trial Design | Clinical trial | Clinical trial analysis | Data Governance | Deep learning | EHR | Gradient boosting | Longitudinal data | Machine Learning | Multimodal modeling | Neural Networks | Python | R | RWE | Survival analysis | Time Series | Trial Analysis | Trial design | XGBoost
Education
Language: en
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