Data Scientist

Ascension

Data Scientist applying machine learning and NLP in healthcare analytics. Collaborate with teams to refine predictive models and document processes for deployment.

Posted 8/2/2026full-timeRemote • 🇺🇸 United StatesJuniorMid-Level💰 $96,208 - $134,109 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and refining predictive machine learning models and text-based Generative AI tools, with a strong foundation in Python and SQL. Proficient in processing and analyzing healthcare data while ensuring model performance and clinical safety.

Highest-signal resume keywords

Python ProficiencySQL KnowledgeMachine Learning Model EvaluationHealthcare Data Standards FamiliarityGenerative AI Exposure

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonPandasNumPyScikit-learnSQLBigQueryMachine LearningFeature EngineeringModel EvaluationError Analysis

Soft Skills

Analytical Problem-SolvingCommunicationCuriosity

Tools & Technologies

GitGitHubVertex AIHugging FaceLangChain

Industry Keywords

Healthcare DataEHRICD-10CPT CodesClinical Coding Structures

Tech Stack

Tools & technologies

BigQueryNumpyPandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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