🛠 Tech Stack

💼 About This Role

You'll act as a technical partner to Solutions Leads, solving complex healthcare data cohort construction and multi-source dataset assembly challenges for AI model training. You will translate customer requirements into practical dataset definitions and build SQL to construct datasets. This role focuses on solving real-world data problems, not research.

🎯 What You'll Do

• Build complex SQL queries to construct healthcare data cohorts
• Join datasets across multiple healthcare data sources and validate linkages
• Perform data completeness analysis and create validation outputs
• Review dataset requests from AI researchers and assess feasibility

📋 Requirements

• Expertise in writing complex SQL for large healthcare datasets
• Experience with healthcare data (EHR, claims, or similar)
• Ability to translate research requirements into cohort definitions
• 3-5 years of applied data science experience

✨ Nice to Have

• Experience with data pipeline tools like Airflow or dbt
• Familiarity with Python for data analysis
• Knowledge of privacy-preserving data handling

🎁 Benefits & Perks

• 🏖️ Unlimited PTO
• 🏥 Health, dental, and vision insurance
• 📈 Equity in a fast-growing startup
• 🏠 Remote-first culture
• 📚 Learning and development budget

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter call· 30 min
2. 2Technical interview· 60 min
3. 3Onsite interview· 90 min