Are you passionate about using data to make a real difference in people’s lives? Join our team as a Healthcare Data Scientist and help shape the future of healthcare analytics. As a Healthcare Data Scientist, you’ll develop advanced machine learning models, work with healthcare data, and drive actionable insights that improve patient outcomes and operational efficiency. This 100% remote role offers an exciting opportunity to work with modern cloud technologies while collaborating with clinical and business teams to deliver meaningful results.
Healthcare Data Scientist Responsibilities
As a Healthcare Data Scientist, you’ll work at the intersection of data, technology, and healthcare innovation. You’ll be responsible for designing, building, and deploying data-driven solutions that support critical business and clinical decisions.
Key Responsibilities:
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Collaborate with stakeholders to define measurable use cases such as risk forecasting, readmission prediction, and fraud detection.
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Explore, clean, and engineer data from claims, EMR, utilization, and care-management sources.
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Develop and evaluate models using regression, classification, time series, and clustering techniques.
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Work with data and MLOps teams to productionize models using Spark, Databricks, and cloud pipelines.
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Design dashboards and visualizations in Power BI or Tableau to communicate insights effectively.
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Ensure compliance with HIPAA/PHI data governance and reproducible research practices.
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Experiment with LLMs through prompt engineering, fine-tuning, and AI-driven workflow automation.
Healthcare Data Scientist Qualifications
To succeed as a Healthcare Data Scientist, you’ll need strong analytical, programming, and communication skills, along with experience in healthcare or insurance data environments.
Required Qualifications:
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6–8 years of proven data science experience with measurable business impact.
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Proficiency in Python or R, SQL, and Big Data tools such as Spark or Hive.
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Experience with ML platforms like Azure ML, Databricks, or Google Vertex AI.
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Familiarity with statistical and ML methods including regression, time series, and tree ensembles.
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Knowledge of cloud deployment workflows and MLOps principles.
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Exposure to LLM prompt engineering, fine-tuning, and AI automation.
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Excellent problem-solving and communication skills to translate data insights into business outcomes.
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Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
Why Work as a Healthcare Data Scientist With Us
This role offers the freedom to work remotely while contributing to groundbreaking projects in healthcare data science. As a Healthcare Data Scientist, you’ll join a team dedicated to innovation, impact, and continuous learning.
What We Offer:
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Competitive pay and performance-based bonuses.
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100% remote work flexibility across the U.S.
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Access to advanced AI and machine learning tools.
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Collaborative environment with domain experts and data engineers.
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Opportunities to contribute to cutting-edge LLM and automation initiatives.
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