Senior Data Scientist
Spinutech
CloudPythonSQL
Data Analyst
LivantaLLC
full-time
Posted on:
Origin: • 🇺🇸 United States • North Carolina
Visit company websiteSalary
💰 $95,000 - $140,000 per year
Job Level
Mid-LevelSenior
Tech Stack
PythonSQLTableau
About the role
- Work closely with Data/Technology and Operational teams to analyze complex healthcare datasets, develop data models, and generate actionable insights that inform internal products, client solutions, and strategic decisions
- Analyze and interpret large-scale healthcare datasets (e.g., claims, EHR, FHIR, registries) to identify trends, outliers, and key performance indicators
- Collaborate with data engineers, product managers, and domain SMEs to define data requirements, metrics, and quality controls
- Build and maintain curated datasets and dashboards for internal and external stakeholders using SQL, Python, or BI tools
- Support design and execution of analyses for clinical, operational, or policy use cases, including cohort definitions, utilization patterns, and risk stratification
- Develop and document business rules for data standardization, mapping, and transformation
- Assist in data validation and QA efforts for data pipelines and analytics-ready datasets
- Ensure data privacy and compliance with HIPAA, 42 CFR Part 2, and organizational security protocols
- Translate analytic findings into clear, compelling narratives and data visualizations for decision-makers
- Monitor key data health metrics and assist with anomaly detection and root cause analysis
- Support data strategy and architecture decisions through domain-aligned analysis and metric modeling
Requirements
- Bachelor’s degree in Health Informatics, Public Health, Statistics, Computer Science, or a related field
- 3+ years of experience working with healthcare data, including EHR, claims, or public health data
- Strong proficiency in SQL and at least one analytics-oriented language (e.g., Python, R)
- Experience with data analysis and visualization tools such as Excel, Tableau, Power BI, or Quicksight
- Familiarity with healthcare data standards (e.g., FHIR, HL7, ICD, CPT, LOINC) and common quality or performance measures
- Ability to synthesize complex data and present findings to technical and non-technical audiences
- Detail-oriented with strong data hygiene, validation, and documentation habits
- Excellent communication and collaboration skills, with the ability to work effectively with both technical and non-technical teams
- Strong problem-solving skills, attention to detail, and a passion for continuous learning
- Experience working in a healthcare or regulated environment
- Experience with Agile development methodologies
- Preferred: Familiarity with Databricks, Snowflake, or other modern data platforms
- Preferred: Understanding of data governance and security frameworks relevant to healthcare (e.g., NIST, HITRUST)
- Preferred: Prior experience working with government agencies (e.g., CMS, VA, DoD) or payer/provider organizations
- Preferred: Knowledge of healthcare delivery systems and policy frameworks
- Preferred: Experience designing or supporting dashboards or reports for operational, clinical, or executive audiences
- Preferred: Master's degree or certifications in Data Analytics or related field
