Senior Data Scientist
USA IRV-17011 Redhill/DBC1-5, United States
USD 108K-153K Senior-level Full Time
Tasks
- Analyze results and create reports and dashboards
- Apply survival analysis and causal inference
- Author FDA submission model documentation
- Conduct subgroup and bias analysis
- Coordinate handoff of models to AI ML engineers
- Design offline evaluation and calibration
- Develop algorithms and machine learning models
- Drive problem framing with product and clinical partners
- Evaluate AI ML for health research use cases
- Improve interpretability evidence
- Integrate data sources and analytics tools
- Mentor less experienced data scientists
- Own modeling for clinical or product domain
- Perform offline validation
- Prepare cleanse label and verify data
- Select and adapt AI architectures
- Support design control documentation and risk documentation
Perks/Benefits
- N/A
Skills/Tech-stack
Autoencoders | Bayesian Modeling | Captum | Causal Inference | Diffusion Models | DoWhy | EconML | GANs | Generative Models | Hyperparameter Optimization | JAX | Lifelines | MLflow | MONAI | Machine Learning | Medical Imaging | NLP | Optuna | Power BI | PyTorch | Pydicom | Pymc | Python | Ray Tune | Registration | Representation Learning | SAS | SHAP | SQL | Scikit-learn | Scikit-survival | Segmentation | Self-Supervised Learning | Self-supervised | SimpleITK | StatsModels | Supervised Learning | Survival analysis | Tableau Prep | TensorFlow | Time Series | Transfer Learning | Transformers
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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