Data Scientist
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Job Description
Data Scientist supporting Guidehealth’s value-based healthcare operations through clinical data analysis, machine learning, and predictive modeling. Translating healthcare data into actionable insights for Clinical, Quality, and CDI teams.
Responsibilities:
- Partner with Clinical, Quality, and CDI teams to understand operational goals and identify opportunities for data science support
- Perform statistical and machine learning analyses of clinical, claims, and other healthcare data
- Apply causal inference, predictive modeling, risk stratification, time-series analysis, and data visualization
- Apply clinical intelligence and relevant literature to validate cohort definitions, code sets, and model features
- Develop and maintain SQL and Python code for replicable analyses and production data pipelines
- Communicate analytic results through visualizations, presentations, and written summaries
- Perform scripted and manual data QA and validation checks for format, completeness, and accuracy
Requirements:
- Bachelor's degree in a quantitative or technical field such as Data Science, Statistics, Biostatistics, Epidemiology, Health Informatics, Computer Science, or equivalent experience
- 2+ years of experience applying data science, statistics, or advanced analytics to healthcare data
- Working knowledge of clinical workflows and terminology
- Familiarity with clinical vocabularies and coding systems including CPT, ICD-10-CM, SNOMED CT, RxNorm, LOINC, and NPI
- Understanding of healthcare operations including care management, risk adjustment, quality improvement, revenue cycle, prior authorization, and value-based care
- Proficiency in SQL and Python
- Working knowledge of Bash
- Applied statistics knowledge including hypothesis testing, regression, model evaluation, and causal inference
- Experience with data integration and ETL, data normalization, SFTP, and API connections
- Experience using Git-based source control such as GitHub throughout a software development lifecycle
- Experience with data QA and validation processes
- Familiarity with AWS, GCP, or Azure
- Strong communication and presentation skills for clinical and technical audiences
- Preferred: advanced degree or clinical licensure combined with formal data science training
- Preferred: 2+ years of experience in a clinical care, clinical informatics, or CDI setting, or degree, licensure, or certification in a related clinical field
- Preferred: AWS services such as S3, Lambda, and Step Functions
- Preferred: Arcadia Analytics Foundry database
- Preferred: Jira and Confluence
Benefits:
- Fully remote work and flexibility
- Comprehensive Medical, Dental, and Vision plans
- 401(k) plan with a 3% employer match to the employee's 6% contribution
- Life and Disability insurance
- Voluntary Life insurance options
- Employee Assistance Program (EAP)
- Paid time off plans
- Paid parental leave
- Learning and development resources
- Necessary work equipment provided at no charge
- Eligibility for comprehensive benefits package for full-time employees working 30 hours per week or more
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