Data Scientist
Data Scientist
Posted on :
29-08-2025
Employer Active
1 Vacancy
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Job Description
Minimum Job Requirements
- Bachelors 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
- Masters 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 Summary
Responsible for leveraging advanced analytics machine learning and statistical methodologies to extract meaningful insights from healthcare and operational data at Nicklaus Childrens 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.
Employment Type
Full Time
Key Skills
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