Advocate Health Care · 1 day ago
IT Data Scientist
United States
Full-time
Remote
Entry, Mid Level
$51/hr - $76/hr
2+ years expAdvocate Health Care is a leading healthcare organization, and they are seeking an IT Data Scientist to enhance healthcare operations through data-driven initiatives. The role involves applying machine learning and statistical modeling techniques to analyze complex data and communicate insights effectively.
Clinical TrialsDeliveryHealth Care
Responsibilities
Collaborate with stakeholders and subject matter experts to define and refine data-driven initiatives that enhance healthcare operations and outcomes
Develop a strong understanding of complex, high-volume, and heterogeneous data, ensuring rigorous data development, cleaning, and validation
Apply machine learning and statistical modeling techniques, including regression, classification, clustering, time series forecasting, and ensemble methods
Utilize LLM-based text analytics and NLP techniques to extract insights from unstructured data sources such as clinical notes and reports
Perform exploratory data analysis and build structured analytical workflows using Python, R, and SQL
Communicate findings and methodologies effectively to both technical and non-technical audiences through reports, presentations, and interactive visualizations
Independently manage projects, setting clear objectives, benchmarks, and milestones while balancing iterative development with accountability
Develop well-documented, reusable code on cloud computing platforms to support analytical pipelines
Follow best practices in collaborative software development, including version control (Git) and modular code design
Qualification
Required
Collaborate with stakeholders and subject matter experts to define and refine data-driven initiatives that enhance healthcare operations and outcomes
Develop a strong understanding of complex, high-volume, and heterogeneous data, ensuring rigorous data development, cleaning, and validation
Apply machine learning and statistical modeling techniques, including regression, classification, clustering, time series forecasting, and ensemble methods
Utilize LLM-based text analytics and NLP techniques to extract insights from unstructured data sources such as clinical notes and reports
Perform exploratory data analysis and build structured analytical workflows using Python, R, and SQL
Communicate findings and methodologies effectively to both technical and non-technical audiences through reports, presentations, and interactive visualizations
Independently manage projects, setting clear objectives, benchmarks, and milestones while balancing iterative development with accountability
Develop well-documented, reusable code on cloud computing platforms to support analytical pipelines
Follow best practices in collaborative software development, including version control (Git) and modular code design
PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, Biomedical Informatics or a related field, OR a Master's degree with 2-4 years of applied experience in data science or machine learning
Typically requires 2-4 years of experience in solving complex problems in an analytical environment
Extensive experience working with large-scale structured and unstructured data, ensuring data quality and interpretability
Proficiency in Python and/or R for advanced data analysis, machine learning, and model deployment, along with strong SQL skills for working with large datasets
Expertise in statistical modeling, machine learning, and AI techniques, including regression, classification, time series forecasting, and ensemble methods, with experience in at least some advanced techniques (e.g., Bayesian inference, causal modeling, deep learning, LLMs, NLP, or knowledge engineering)
Demonstrated ability to lead collaborations with stakeholders, define analytics initiatives, and mentor junior team members
Strong critical thinking and problem-solving skills, with an iterative and pragmatic approach to real-world challenges
Proven ability to translate complex data into actionable insights, using storytelling, interactive dashboards, and presentations
Ability to independently manage multiple complex projects, set clear objectives, and drive high-impact initiatives
Experience writing clean, reusable, and well-documented code and working with containerization tools like Docker for model deployment
Requires extensive amounts of time working at a computer
Work can be performed in an office environment or remotely
Preferred
Experience working with healthcare data (EHR, claims, clinical notes, imaging, operational workflows)
Exposure to MLOps principles, including model monitoring, lifecycle management, and CI/CD for ML models
Experience integrating AI/ML models into production environments, such as API-based decision support or real-time analytics
Company
Advocate Health Care
Advocate Health Care is an integrated healthcare delivery system based in Illinois, United States.
10001+ employees
H1B Sponsorship
Advocate Health Care has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (26)
2024 (9)
2023 (6)
2022 (16)
2021 (8)
2020 (7)
Funding
Current Stage
Late StageTotal Funding
$18M2013-10-03Series Unknown· $18M
Leadership Team
Barbara Hancock
Executive Assistant to the President and Chief Operating Officer
David Rich
Clinical Practice Partner
Recent News
2025-10-10
Medical Xpress - latest medical and health news stories
2025-10-09
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2025-10-01
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