Postdoctoral Fellow in Biostatistics and Health Data Science
IU School of Medicine Indianapolis Campus
USD 64K-80K (estimate) Entry-level Full Time
Tasks
- Apply causal inference and discovery to clinical questions
- Build reproducible research pipelines and experiment codebases
- Collaborate with interdisciplinary research teams
- Contribute to grant proposals and research reports
- Design implement and evaluate algorithms and pipelines
- Lead original research in multimodal and causal AI for health
- Translate methods into clinical workflows
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Apache Spark | Causal Discovery | Causal Inference | Deep learning | Differential Privacy | Docker | Electronic Health Records | Fairness | Federated Learning | Git | Health Records | Healthcare Data | Instruction Tuning | Interpretability | Inverse probability weighting | Kubernetes | LLMs | Language Processing | MLOps | Machine Learning | Matching | Medical Imaging | Multimodal Learning | Multimodal Transformers | Natural Language | Natural Language Processing | Propensity scores | PyTorch | Python | Responsible AI | Retrieval-Augmented Generation | Robustness | SQL | Scikit-learn | Series modeling | Time Series | Time Series Modeling | Weights and Biases
Education
Roles
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