Trella Health is hiring a
Data Scientist

Summary

Join Trella Health's Data Science & Engineering team as a versatile Data Scientist to turn medical and pharmacy claims data into measures and actionable insights within our Software as a Service (SaaS) solutions.

Requirements

• Bachelors degree in a technical field or equivalent work experience
• 3+ years of relevant professional experience, ideally in healthcare or life sciences
• Advanced Python skills (e.g., developing data pipelines, writing complex data processing scripts, and automating workflows)
• Advanced SQL skills (e.g., writing complex queries, reverse-engineering scripts)
• Strong knowledge of medical claims data (e.g., Medicare, Medicaid, Commercial)
• Experience with medical coding systems (ICD10, CPT, HCPCS, MS DRG, NPPES NPI)
• Ability to work independently and build data programs
• Excellent problem-solving, time management, and communication skills
• Familiarity with software development tools like Jira, Confluence, and Bitbucket

Responsibilities

• Develop SQL and Python Scripts necessary to support curated datasets in Trella’s proprietary solutions
• Work with vast national datasets of medical and pharmacy claims to interpret, analyze, and build datasets that deliver actionable insights
• Act as a subject matter expert on healthcare data sources, calculations, and methodologies
• Collaborate with the product team to size and scope new analytic projects, defining specifications and requirements
• Assist in the validation of datasets, contributing to QA/test strategies to ensure data quality
• Design, document, and refine measurement methodologies in collaboration with Data Scientists and Product teams
• Translate complex business concepts into practical data deliverables for our platform, working with both internal and external stakeholders
• Continuously enhance your knowledge of the healthcare industry through independent research and professional development

Benefits

• Health insurance
• 401k Retirement Savings
• Unlimited PTO & 10 Paid Holidays
• Flexible Work Hours
• Equity Shares
• Paid Leave Programs
• Marketplace for discounted retail and entertainment