Nicklaus Children's Health System
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Data Scientist
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Nicklaus Children's Health System Join to apply for the
Data Scientist
role at
Nicklaus Children's Health System Get AI-powered advice on this job and more exclusive features. Job Summary
Responsible for leveraging advanced analytics, machine learning and statistical methodologies to extract meaningful insights from healthcare and operational data at Nicklaus Children's Health System. Areas of focus include analysis of electronic health records (EHR), genomic and precision medicine initiatives, financials and enterprise resource planning (ERP) data. Collaborates with researchers, clinical and operational teams within the health system. Works to ensure all data analysis activities are performed in accordance with applicable federal regulations, HIPAA requirements, and health system policies and procedures. Description
Job Summary
Responsible for leveraging advanced analytics, machine learning and statistical methodologies to extract meaningful insights from healthcare and operational data at Nicklaus Children's Health System. Areas of focus include analysis of electronic health records (EHR), genomic and precision medicine initiatives, financials and enterprise resource planning (ERP) data. Collaborates with researchers, clinical and operational teams within the health system. Works to ensure all data analysis activities are performed in accordance with applicable federal regulations, HIPAA requirements, and health system policies and procedures.
Job Specific Duties
Applies machine learning, natural language processing, and AI techniques to analyze structured and unstructured healthcare data, including clinical, genomics, and operational datasets. Develops predictive models integrating multi-omics data (genomics, proteomics), biomarkers, and clinical outcomes to support precision medicine and personalized care pathways. Builds scalable data pipelines and connects complex healthcare data using graph database technologies (e.g., property graphs) to uncover hidden relationships across patients, treatments, and outcomes. Collaborates with data engineering and IT teams to operationalize models for real-time decision support, risk stratification, and resource optimization across clinical and business operations. Develops and validates predictive models to support clinical decision support, risk stratification, and outcome prediction for pediatric patient populations. Ensures all analytical activities comply with healthcare regulations, institutional policies, and research ethics requirements, including proper handling of protected health information. Partners with clinicians, researchers, and administrators to understand analytical needs, translate requirements into technical solutions, and communicate effectively. Maintains comprehensive documentation of analytical methods, validate analytical approaches, and ensure reproducibility of research findings. Provides technical expertise and training team members on data analysis techniques and healthcare analytics best practices.
Qualifications
Minimum Job Requirements
Bachelor's degree in data science, Statistics, Computer Science, Mathematics, Biostatistics, Bioinformatics, ore related quantitative field. (Required) 3-5 years of experience in data science with demonstrated experience in healthcare or life sciences environments. Experience working with healthcare data, including electronic health records (EHR), clinical databases and/or ERP data. Proven track record of applying statistical analysis and machine learning techniques to real-world healthcare and healthcare operational problems.
Knowledge, Skills, And Abilities
Master's degree in related quantitative fields is preferred. Proficiency in programming languages such as Python, R, and SQL for data analysis and modeling is required. Strong knowledge of statistical modeling, machine learning, and data visualization techniques. Familiarity with LLMs and foundation models for natural language processing and clinical data analytics. Familiarity with graph data platforms (e.g., Neo4j, Amazon Neptune) and vector databases (e.g., Pinecone). Experience with precision medicine initiatives, genomics data, or personalized healthcare analytics. Experience with distributed computing, big data frameworks, and cloud platforms (e.g., Azure, AWS, GCP). Familiarity with healthcare information systems and EHR platforms. Experience with data integration from multiple healthcare sources. Understanding of healthcare regulations including HIPAA, FDA guidelines, and clinical research compliance requirements. Familiarity with medical coding systems (ICD-10, CPT, SNOMED). Excellent written and verbal communication skills with ability to present complex analytical findings clearly to technical and non-technical audience. Ability to work effectively in interdisciplinary teams with clinicians, researchers, and IT professionals. Skilled at translating business requirements into technical solutions. Strong attention to detail and commitment to data accuracy and integrity. Ability to manage multiple projects simultaneously and meet deadlines. Ability to work independently while collaborating effectively with team members.
Job
Professional
Department
ENTERPRISE BUS INTELLIGENCE-1000-921906
Job Status
:Full Time Seniority level
Seniority level Not Applicable Employment type
Employment type Full-time Job function
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Data Scientist
role at
Nicklaus Children's Health System Join to apply for the
Data Scientist
role at
Nicklaus Children's Health System Get AI-powered advice on this job and more exclusive features. Job Summary
Responsible for leveraging advanced analytics, machine learning and statistical methodologies to extract meaningful insights from healthcare and operational data at Nicklaus Children's Health System. Areas of focus include analysis of electronic health records (EHR), genomic and precision medicine initiatives, financials and enterprise resource planning (ERP) data. Collaborates with researchers, clinical and operational teams within the health system. Works to ensure all data analysis activities are performed in accordance with applicable federal regulations, HIPAA requirements, and health system policies and procedures. Description
Job Summary
Responsible for leveraging advanced analytics, machine learning and statistical methodologies to extract meaningful insights from healthcare and operational data at Nicklaus Children's Health System. Areas of focus include analysis of electronic health records (EHR), genomic and precision medicine initiatives, financials and enterprise resource planning (ERP) data. Collaborates with researchers, clinical and operational teams within the health system. Works to ensure all data analysis activities are performed in accordance with applicable federal regulations, HIPAA requirements, and health system policies and procedures.
Job Specific Duties
Applies machine learning, natural language processing, and AI techniques to analyze structured and unstructured healthcare data, including clinical, genomics, and operational datasets. Develops predictive models integrating multi-omics data (genomics, proteomics), biomarkers, and clinical outcomes to support precision medicine and personalized care pathways. Builds scalable data pipelines and connects complex healthcare data using graph database technologies (e.g., property graphs) to uncover hidden relationships across patients, treatments, and outcomes. Collaborates with data engineering and IT teams to operationalize models for real-time decision support, risk stratification, and resource optimization across clinical and business operations. Develops and validates predictive models to support clinical decision support, risk stratification, and outcome prediction for pediatric patient populations. Ensures all analytical activities comply with healthcare regulations, institutional policies, and research ethics requirements, including proper handling of protected health information. Partners with clinicians, researchers, and administrators to understand analytical needs, translate requirements into technical solutions, and communicate effectively. Maintains comprehensive documentation of analytical methods, validate analytical approaches, and ensure reproducibility of research findings. Provides technical expertise and training team members on data analysis techniques and healthcare analytics best practices.
Qualifications
Minimum Job Requirements
Bachelor's degree in data science, Statistics, Computer Science, Mathematics, Biostatistics, Bioinformatics, ore related quantitative field. (Required) 3-5 years of experience in data science with demonstrated experience in healthcare or life sciences environments. Experience working with healthcare data, including electronic health records (EHR), clinical databases and/or ERP data. Proven track record of applying statistical analysis and machine learning techniques to real-world healthcare and healthcare operational problems.
Knowledge, Skills, And Abilities
Master's degree in related quantitative fields is preferred. Proficiency in programming languages such as Python, R, and SQL for data analysis and modeling is required. Strong knowledge of statistical modeling, machine learning, and data visualization techniques. Familiarity with LLMs and foundation models for natural language processing and clinical data analytics. Familiarity with graph data platforms (e.g., Neo4j, Amazon Neptune) and vector databases (e.g., Pinecone). Experience with precision medicine initiatives, genomics data, or personalized healthcare analytics. Experience with distributed computing, big data frameworks, and cloud platforms (e.g., Azure, AWS, GCP). Familiarity with healthcare information systems and EHR platforms. Experience with data integration from multiple healthcare sources. Understanding of healthcare regulations including HIPAA, FDA guidelines, and clinical research compliance requirements. Familiarity with medical coding systems (ICD-10, CPT, SNOMED). Excellent written and verbal communication skills with ability to present complex analytical findings clearly to technical and non-technical audience. Ability to work effectively in interdisciplinary teams with clinicians, researchers, and IT professionals. Skilled at translating business requirements into technical solutions. Strong attention to detail and commitment to data accuracy and integrity. Ability to manage multiple projects simultaneously and meet deadlines. Ability to work independently while collaborating effectively with team members.
Job
Professional
Department
ENTERPRISE BUS INTELLIGENCE-1000-921906
Job Status
:Full Time Seniority level
Seniority level Not Applicable Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Hospitals and Health Care Referrals increase your chances of interviewing at Nicklaus Children's Health System by 2x Get notified about new Data Scientist jobs in
Miami, FL . Coral Gables, FL $110,000.00-$140,000.00 1 week ago Miami, FL $300,000.00-$800,000.00 4 weeks ago Data Science Manager (@Remote Miami, FL)
Miami, FL $225,000.00-$240,000.00 2 hours ago Miami-Fort Lauderdale Area $100,000.00-$140,000.00 23 hours ago Applied Sr Data Scientist - Fintech Foundation
Miami, FL $150,000.00-$200,000.00 1 week ago Data Scientist ~ NLP & Generative AI Focus
Machine Learning Researcher – Systematic Trading
Miami, FL $150,000.00-$250,000.00 1 week ago Principal Data Scientist, Marketing Analytics and Data Science (Hybrid)
Data Scientist (Behavioral / Marketing Analytics)
Miami, FL $275,000.00-$350,000.00 1 week ago Miami-Fort Lauderdale Area $99,461.00-$128,329.00 13 hours ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr