You’ll design and maintain the systems that translate patient engagement data into structured, partner-trusted billing outputs
This includes ingesting data from internal and external clinical sources, applying billing logic in a codified, auditable way, and producing files that meet downstream requirements with consistency
You’ll sit within the Finance team and work cross-functionally with Sales, Engineering, and Product to ensure billing runs reliably and scales cleanly as the business grows
Reconcile patient engagement data across internal and external clinical sources (e.g., EHR and labs data) on a monthly basis
Codify billing logic in SQL (BigQuery) and develop transformation workflows that are auditable and scalable
Use Python or Google Sheets scripting to clean inputs and automate recurring tasks
Generate structured, version-controlled invoice files that are partner-trusted and accurate
Identify data mismatches, gaps, or edge cases — and implement long-term fixes
Document workflows to ensure clarity, continuity, and cross-team alignment
Collaborate across Finance, Sales, Engineering, and Product to improve upstream inputs and process design
Benefits
Free lunch everyday and fully-stocked microkitchens and coffee/tea bar
Team offsites, game hours, tech talks, and design sprints
Health insurance benefits (PPO / HMO / HSA, 100% of family premiums paid)
Dental / vision / wellness benefits
401k matching
Unlimited PTO
Flexible work-from-home policy for work/life balance (4 days in-office, accommodation for occasional WFH days)
Relocation assistance
Generous parental leave (4 months for the birthing parent, 3 months for a partner, 100% paid)
Preferred experience
Technically curious with a structured, systems-first approach to problem-solving
Bachelor’s degree in Health Informatics, Data Science, Business, Information Systems or a related field
3-5 years of experience in data operations, analytics, or financial systems
Advanced working knowledge of SQL and ability to manage complex logic in Excel/Google Sheets
Comfortable writing or modifying Python scripts for data cleanup and file generation
The right candidate brings technical fluency, systems thinking, and a builder mindset focused on clarity and repeatability
Recruitment process
We aim to complete the interview process between 2-3 weeks. It will usually consist of:
