• Location: Remote
• Department: Clinical and Population Health Analytics
• Schedule: Full-time Day shift

ADSI #internalops

• 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

• 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.

Education:

• 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.

Additional Preferences:

• Technical & GenAI Stack: Degree in a relevant STEM field (A Bachelor’s, Master’s, or PhD in Data Science, Computer Science, Health Informatics, Statistics, or a related STEM field), backed by strong skills in Python (pandas, NumPy, scikit-learn), SQL (BigQuery/relational databases), Git, and practical exposure to LLMs, prompt engineering, or GenAI frameworks (Hugging Face, LangChain, Vertex AI).
• Healthcare Domain & Stakeholder Communication: Curiosity and familiarity with healthcare data standards and clinical coding (e.g., ICD-10, CPT), with proven ability to analyze complex data and translate technical findings to clinical stakeholders.

Ascension is a leading nonprofit Catholic health system with a culture and associate experience grounded in service, growth, care and connection. We empower our 99,000+ associates to bring their skills and expertise every day to reimagining healthcare, together. Recognized as one of the Best 150+ Places to Work in Healthcare and a Military-Friendly Gold Employer, you’ll find an inclusive and supportive environment where your contributions truly matter.

Equal employment opportunity employer

Ascension provides Equal Employment Opportunities (EEO) to all associates and applicants for employment without regard to race, color, religion, sex/gender, sexual orientation, gender identity or expression, pregnancy, childbirth, and related medical conditions, lactation, breastfeeding, national origin, citizenship, age, disability, genetic information, veteran status, marital status, all as defined by applicable law, and any other legally protected status or characteristic in accordance with applicable federal, state and local laws. For further information, view the EEO Know Your Rights (English) poster or EEO Know Your Rights (Spanish) poster.

Fraud prevention notice

Prospective applicants should be vigilant against fraudulent job offers and interview requests. Scammers may use sophisticated tactics to impersonate Ascension employees. To ensure your safety, please remember: Ascension will never ask for payment or to provide banking or financial information as part of the job application or hiring process, our legitimate email communications will always come from an @ascension.org email address; do not trust other domains, and an official offer will only be extended to candidates who h…