ResponsibilitiesLead design and implementation of complex predictive models and advanced machine learning algorithms for healthcare-specific challenges
Architect and optimize analysis frameworks for large, complex healthcare datasets including electronic health records (EHR), claims data, and multi-modal clinical data
Develop sophisticated statistical models for patient risk stratification, treatment optimization, population health management, and revenue cycle optimization
Proven experience with cloud platforms and big data technologies such as Spark, Hadoop, and distributed computing design and implement advanced models for clinical decision support, patient outcome prediction, care quality improvement, and revenue cycle optimization
Architect and maintain scalable automated data pipelines for real-time analytics, reporting, and model deployment
Lead implementation of healthcare data standards (HL7 FHIR, ICD-10, CPT, SNOMED CT) and ensure comprehensive regulatory compliance
Design and deploy production-grade models in cloud environments while creating advanced visualizations and interactive dashboards for stakeholders
Present complex findings and strategic recommendations to senior leadership, clinical teams, and external partners
Mentor junior data scientists and contribute to team technical standards and best practices
Collaborate with product teams to define data science roadmaps and technical requirements
RequirementsBachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related quantitative field
At least 5 years of hands-on experience in data science, analytics, or machine learning roles
Demonstrated experience leading complex analytical projects and working with large-scale datasets
Advanced proficiency in Python or R for data analysis and machine learning
Expert-level experience with SQL and database management systems
Deep knowledge of machine learning frameworks such as scikit-learn, TensorFlow, PyTorch
Advanced experience with data visualization tools such as Tableau, Power BI, matplotlib, ggplot2
Extensive experience with version control systems (Git) and collaborative development practices
Expert foundation in statistics, hypothesis testing, experimental design, and causal inference
Advanced experience with supervised and unsupervised learning techniques
Deep knowledge of data preprocessing, feature engineering, model validation, and performance optimization
Advanced understanding of A/B testing, causal inference methods, and statistical significance
Proven experience with cloud platforms and big data technologies such as Spark, Hadoop, and distributed computing
PreferredAt least 3 years of experience working with healthcare data or in healthcare IT environments
Deep familiarity with electronic health record (EHR) systems and complex healthcare workflows
Expert understanding of healthcare data privacy regulations (HIPAA, HITECH) and compliance frameworks
Advanced knowledge of clinical data standards and interoperability frameworks
Extensive knowledge of MLOps practices, model deployment pipelines, and production monitoring
Advanced familiarity with natural language processing for clinical text analysis and medical imaging
Expert experience with time series analysis for patient monitoring data and longitudinal studies
Experience with regulatory submissions and validation for healthcare AI/ML models
Netsmart is proud to be an equal opportunity workplace and is an affirmative action employer, providing equal employment and advancement opportunities to all individuals. We celebrate diversity and are committed to creating an inclusive environment for all associates. All employment decisions at Netsmart, including but not limited to recruiting, hiring, promotion and transfer, are based on performance, qualifications, abilities, education and experience. Netsmart does not discriminate in employment opportunities or practices based on race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, age, physical or mental disability, past or present military service, or any other status protected by the laws or regulations in the locations where we operate.
Netsmart desires to provide a healthy and safe workplace and, as a government contractor, Netsmart is committed to maintaining a drug-free workplace in accordance with applicable federal law. Pursuant to Netsmart policy, all post-offer candidates are required to successfully complete a pre-employment background check, which is provided at Netsmart's sole expense.
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