Data Scientist, Cancer Informatics and AI/ML, Remote, Grant Funded
USD 116K-204K (estimate) Entry-level Full Time
Tasks
- Build and evaluate LLM assisted workflows
- Conduct feature engineering and model development
- Create reproducible analyses and visualizations
- Develop Python data pipelines
- Evaluate model performance and calibration
- Extract structured data from unstructured clinical data
- Implement machine learning and NLP workflows
- Implement retrieval-augmented generation workflows
- Maintain documentation of models and analytics
- Perform data cleaning and wrangling
- Process clinical notes and reports
Perks/Benefits
Skills/Tech-stack
Apache Spark | Business Intelligence | Classification | Clustering | Data Analysis | Data Warehousing | Data Wrangling | Data cleaning | Databricks | Electronic Health Records | Embeddings | Error Analysis | Exploratory Data Analysis | Feature Engineering | Git | Health Records | Healthcare Data | Jupyter | Language Models | Language Processing | Large Language Models | Machine Learning | Model Benchmarking | Model Evaluation | Natural Language | Natural Language Processing | NumPy | Pandas | Prompt engineering | Python | R | Recommendation Systems | Retrieval-Augmented Generation | SQL | Scikit-learn | Semantic Search | Validation pipelines | Vector Databases | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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