Postdoctoral Fellow, AI/ML Applications for Vaccine
USA - New York - Pearl River, United States
USD 64K-107K Senior-level Full Time
Tasks
- Build end to end model training validation and benchmarking pipelines
- Communicate results to technical and non-technical stakeholders
- Compute and evaluate prospective vaccine coverage scores
- Develop sequence-based deep learning models for viruses
- Fine tune models to improve performance
- Identify key features for viral evolutionary advantage using interpretation frameworks
- Integrate multi source surveillance immunogenicity vaccine efficacy data
- Perform retrospective and prospective benchmarking validation
- Predict time dependent strain dominance using graph neural networks
- Publish scientific findings in peer reviewed venues
Perks/Benefits
- 401k match
- Dental coverage
- Health insurance
- Paid Holidays
- Paid caregiver leave
- Paid parental leave
- Paid personal days
- Paid vacation
- Relocation support
- Vision coverage
Skills/Tech-stack
Benchmarking | Data Curation | Deep learning | Graph Neural Networks | Language Models | Machine Learning | Machine Learning Pipelines | Mixed-effects | Mixed-effects models | Model Training | Model Validation | Neural Networks | PyTorch | Python | Regression Analysis | SHAP | Scikit-learn | Sequence Alignment | Series analysis | TensorFlow | Time Series | Time Series Analysis | Transformers
Education
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