Principal AI&ML Scientist – Evinova
Tasks
- Apply statistics for hypothesis testing causal inference and uncertainty quantification
- Collaborate with engineering to deploy validated models
- Design AI and advanced analytics solutions for clinical trials
- Design, build, and validate machine learning models
- Develop novel approaches when established methods fail
- Evaluate endpoints and real world evidence
- Frame healthcare problems quantitatively
- Mentor team members in experimental rigor and interpretation
- Own model evaluation and clinical validation
- Run experiments and quantify impact
- Translate analytics into product and clinical decisions
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | Bayesian Methods | Causal Inference | Hypothesis Testing | LLM API | Language Models | Large Language Models | MLOps | NumPy | Optuna | Pandas | Probabilistic Modeling | Prompt engineering | PyTorch | Python | 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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