Data Scientist III

Data Scientist III (MedTech): Building analytics pipelines and mathematical models to derive insights from large-scale real-world healthcare datasets with an accent on statistical analysis and machine learning application. Focus on implementing complex solutions, automating code, and translating clinical requirements into actionable data analytics for pharmaceutical and healthcare partners.

Location: Must be based in the United States

Salary: $140,000 – $195,000 USD (based on location)

Company

Komodo Health is a healthcare intelligence company that reduces the global burden of disease through its proprietary Healthcare Map, which leverages de-identified patient data and advanced AI.

What you will do

• Build and optimize analytics pipelines and complex logical tables to solve customer healthcare needs.
• Implement statistical and ML models to analyze patient populations and treatment patterns.
• Collaborate with cross-functional teams to translate client requirements into analytical solutions.
• Scale solutions by automating code and standardizing logic for team-wide reusability.
• Present complex findings and insights to internal stakeholders and external clients.
• Integrate AI workflows to accelerate development, improve research speed, and automate routine tasks.

Requirements

• Must be based in the United States.
• Bachelor's degree or higher in a quantitative field such as Statistics, Mathematics, or Computer Science.
• 3+ years of industry experience with Python and SQL for large-scale data transformation.
• Hands‑on experience with anonymized patient‑level healthcare databases like claims or EHR.
• Proficiency in ML modeling, advanced statistics, and algorithm design.
• Familiarity with PySpark and R.

Nice to have

• Master's degree or PhD in a quantitative discipline.
• Domain expertise in healthcare analytics and biostatistics.

Culture & Benefits

• Comprehensive health, dental, and vision insurance.
• 401(k) plan with company matching.
• Flexible time off and paid holidays.
• Eligibility for performance‑based bonuses and equity awards.
• Hybrid work model with a supportive culture of growth and professional development.