Data Scientist
Ascension · United States · $96K–$134K/yr
Hospitals and Health Care · 10,001+ employees
About the role
The role involves building and refining predictive machine learning models and Generative AI tools to address clinical challenges. You will also extract, clean, and analyze structured healthcare data while collaborating with senior scientists to translate clinical questions into technical solutions.
What they look for
Requirements
Candidates must have at least a high school diploma with 2 years of experience, or an Associate's/Bachelor's degree. Proficiency in Python, SQL, and familiarity with version control and AI frameworks are highly preferred.
Benefits
Full description
Your future role at a glance
Location: Remote
Department: Clinical and Population Health Analytics
Schedule: Full-time | Day shift
Salary: $96,208.99 - $134,109.89 per year
#ADSI #internalops
Life at Ascension: Where purpose meets opportunity
Ascension is a leading nonprofit Catholic health system with a culture and associate experience grounded in service, growth, care and connection. We empower our 97,000+ 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.
Benefits that help you thrive
- 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
How you’ll make an impact in this role
- 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.
What minimum requirements you’ll need
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.
What additional preferences we're seeking
- 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.
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 have completed a job application through our authorized applicant tracking system.
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