Data Scientist

Ascension
United States
8 days ago

Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Compensation
$96,209.0 - $134,110.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence BigQuery Health Informatics Clinical Data Repository Relational Databases Github Revision Control Systems Python (Programming Language) Machine Learning NumPy Standard Sql Feature Engineering
+11 more
Large Language Models Prompt Engineering Model Validation Electronic Medical Records Generative AI Pandas Scikit Learn Information Technology HuggingFace Health Level Seven International Machine Learning Operations

Job 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.

What additional requirements you’ll need:

  • 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 & conditions

3.53.5 out of 5 stars Remote $96,208.99 - $134,109.89 a year - Full-time, Pulled from the full job description

  • Tuition reimbursement
  • Parental leave
  • Health insurance
  • Retirement plan
  • Paid time off
  • Adoption assistance
  • Employee assistance program, 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 Benefit options and eligibility vary by position. Compensation varies based on factors including, but not limited to, experience, skills, education, performance, location and salary range at the time of the offer.

About the company

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.

Apply for this position

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