Note: The job is a remote job and is open to candidates in USA. Ascension is a nonprofit Catholic health system seeking a Clinical AI Data Scientist to support healthcare analytics and clinical innovation. The role assists with developing and refining machine learning and generative AI tools, processing healthcare data, evaluating models for performance and fairness, collaborating with clinical and data science teams, and documenting code for deployment.
Responsibilities
- Build & Refine: Assist in building, testing, and refining predictive machine learning models and text-based Generative AI tools (utilizing Vertex AI and modern NLP frameworks) under the guidance of senior team members to address real-world clinical challenges
- Process & Analyze: Extract, clean, and preprocess structured healthcare data (EHR, billing, and claims), performing feature engineering to address noise, missingness, and complex clinical data structures
- Evaluate & Test: Conduct model evaluation, benchmarking, and error analysis, assessing performance metrics alongside clinical safety, fairness, and potential algorithmic bias
- Collaborate & Learn: Work alongside senior data scientists and clinical mentors to translate broad clinical questions into structured analytics problems and actionable technical tasks
- Document & Handoff: Write clean, well-documented code and maintain clear project documentation (in GitHub) to support model deployment and integration with MLOps pipelines
Skills
- High School diploma equivalency with 2 years of cumulative experience OR Associate's degree/Bachelor's degree OR 4 years of applicable cumulative job specific experience required
- A Bachelor's, Master's, or PhD in Data Science, Computer Science, Health Informatics, Statistics, or a related STEM field
- Familiarity with or strong eagerness to learn healthcare data standards and clinical coding structures (e.g., ICD-10, CPT codes)
- Solid foundational proficiency in Python (pandas, NumPy, scikit-learn), working knowledge of SQL (BigQuery/relational databases), and familiarity with version control tools like Git/GitHub
- Exposure to Large Language Model (LLM) concepts, prompt engineering, or modern NLP/GenAI frameworks (e.g., Hugging Face, LangChain, or Google Vertex AI) through coursework, research, internships, or projects
- Strong analytical problem-solving skills with the ability to communicate technical findings clearly to both technical peers and clinical stakeholders
Benefits
- Paid time off (PTO)
- Various health insurance options & wellness plans
- Retirement benefits including employer match plans
- Long-term & short-term disability
- Employee assistance programs (EAP)
- Parental leave & adoption assistance
- Tuition reimbursement
- Ways to give back to your community
Company Overview
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