Data Science & AI Innovation Postdoctoral Fellow d42
Tasks
- Apply causal inference methods for treatment response
- Build counterfactual outcome prediction models
- Collaborate with interdisciplinary teams in biomedical research
- Define and refine ML research strategy and experimental design
- Design and evaluate generative AI models for patient trajectory simulation
- Develop and benchmark machine learning models for treatment effect estimation
- Generalize treatment effect models across patient populations
- Generate synthetic cohorts for virtual clinical trials
- Publish research and present findings
- Use explainable AI to identify predictive biomarkers
Perks/Benefits
- Access to advanced research platforms
- Conference presentations
- Cross functional practicum experience
- Dedicated career development guidance
- International scientific network
- Publication opportunities
- Training and mentorship
Skills/Tech-stack
Causal Inference | Clinical Data Analysis | Clinical data | Counterfactual reasoning | Data Analysis | Deep learning | Explainable AI | Generative AI | Machine Learning | Probabilistic Modeling | Representation Learning | Statistical modeling
Education
Roles
Data Scientist | Fellow | Postdoctoral Research Fellow | Research Fellow | Scientist
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