Data Scientist

BranchLab • Boulder, CO

5h • Hybrid

About The Position

We are seeking a Data Scientist to drive disease modeling approaches using rigorous statistical, epidemiological, and machine learning techniques. These models will be used for privacy-first pharmaceutical commercialization. This role is ideal for someone with experience thinking creatively about health-related data, populations, and how to build solutions and measure their efficacy. The ideal candidate will work closely with engineering, product, and solutions teams to refine data-driven efforts in the commercialization process and ensure the accuracy of our models.

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

Nice To Haves

• Very strong statistics and study design skills
• Experience working on healthcare claims and EHR data
• Experience analyzing and modeling human populations

Responsibilities

• 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

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree