Principal AI&ML Scientist – Evinova
Tasks
- Analyze clinical endpoints
- Conduct causal inference
- Conduct clinical validation
- Design and run experiments
- Design and validate machine learning models
- Develop novel methods when established approaches fall short
- Evaluate model performance
- Frame healthcare problems quantitatively
- Integrate and deploy validated models with engineering
- Mentor team in experimental rigor and interpretation
- Oversee model evaluation and validation for real world evidence
- Perform hypothesis testing
- Quantify uncertainty
- Stay current with machine learning and statistics
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | Bayesian Methods | Causal Inference | Experimental Design | Generative AI | Hypothesis Testing | LLM APIs | Language Models | Large Language Models | MLOps | NumPy | Optuna | Pandas | Probabilistic Modeling | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | SciPy | Scikit-learn | Statistics | StatsModels | TensorFlow | Uncertainty Quantification
Education
Roles
AI | AI/ML Scientist | ML Scientist | Principal | Principal AI/ML Scientist | Scientist
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