Develop disease population modeling pipelines using rigorous statistical and machine learning approaches
Develop statistically and epidemiological rigorous approaches to measure the success of an experiment in a population
Use SQL and Python to write accurate, understandable, and reproducible methods
Collaborate with solutions and product teams to translate business needs into data-driven solutions

Requirements

PhD in Data Science, Statistics, Epidemiology, Applied Math, Computer Science, or related field (or equivalent practical experience)
2+ years experience with complex statistics and machine learning models
Strong proficiency in SQL and Python
Strong proficiency in statistical and machine learning fundamentals
Excellent oral and written communication

Benefits

Competitive salary + significant equity
Gain hands-on experience at a fast-growing company, with clear opportunities for career growth
Work alongside top-tier engineers, data scientists, and privacy experts

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningstatistical modelingepidemiological methodsSQLPythondata-driven solutionscomplex statistics

Soft Skills

communication

Certifications

PhD in Data SciencePhD in StatisticsPhD in EpidemiologyPhD in Applied MathPhD in Computer Science