Data Scientist

🔥 17 minutes ago

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Ascension

WebsiteLinkedInAll Job Openings

10,000+ employees

🏥 Healthcare

🤝 Non-profit

Healthcare • Non-profit

Ascension is one of the nation’s leading non-profit Catholic health systems focused on delivering compassionate, personalized care with special attention to vulnerable populations. In FY2025 Ascension reported providing $1. 7 billion in care for persons living in poverty and other community benefit programs plus $1. 8 billion of unreimbursed care for Medicare patients. Operating across 16 states and the District of Columbia, its network includes about 97,300 associates, 25,300 aligned providers, 90 wholly owned or consolidated hospitals and ownership interests in 29 additional hospitals; Ascension also operates 22 senior living facilities and a variety of other care sites (including home health and health clinics). Its specialties include medical services, nursing, health system operations, and healthcare technology, all grounded in its faith-based mission to bring health, healing and hope to all.

📋 Description

• 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.

🎯 Requirements

• 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. • Education: A Bachelor’s, Master’s, or PhD in Data Science, Computer Science, Health Informatics, Statistics, or a related STEM field. • Healthcare Domain Interest: Familiarity with or strong eagerness to learn healthcare data standards and clinical coding structures (e.g., ICD-10, CPT codes). • Core Technical Skills: 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. • AI & NLP Exposure: 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. • Communication & Curiosity: Strong analytical problem-solving skills with the ability to communicate technical findings clearly to both technical peers and clinical stakeholders.

🏖️ Benefits

• Comprehensive health coverage: medical, dental, vision, prescription coverage and HSA/FSA options • Financial security & retirement: employer-matched 403(b), planning and hardship resources, disability and life insurance • Time to recharge: pro-rated paid time off (PTO) and holidays • Career growth: Ascension-paid tuition (Vocare), reimbursement, ongoing professional development and online learning • Emotional well-being: Employee Assistance Program, counseling and peer support, spiritual care and stress management resources • Family support: parental leave, adoption assistance and family benefits • Other benefits: optional legal and pet insurance, transportation savings and more