Senior Data Scientist

BranchLab is a healthcare AI company focused on predicting health outcomes to improving how regulated organizations make decisions.

Our mission is to enable better healthcare decisions by applying AI in a way that is privacy-safe, rigorous, and designed for real-world use.

We are seeking a Sr Data Scientist to lead design and implementation of disease modeling approaches using rigorous statistical, epidemiological, and machine learning techniques, learning from the latest research and developing innovative approaches. These models will be used for privacy-first pharmaceutical commercialization. This role is ideal for someone with experience designing, implementing, and measuring the performance of complex models of populations in a production healthcare data setting. The ideal candidate will have experience translating innovative research into business solutions, and 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.

· Design and implement innovative disease population modeling pipelines using rigorous deep learning approaches

· Use SQL and Python to write accurate, understandable, reproducible, and production-quality methods

· Understand healthcare data and the latest machine learning/AI research and suggest ways to incorporate this to improve our models

· Collaborate with solutions and product teams to translate business needs into data-driven solutions

· Provide guidance and mentorship to junior team members and lead technical reviews of models and pipelines

· PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Epidemiology, or related field (or equivalent practical experience)

· 5+ years of experience building machine learning or statistical models deployed in production environments

· Strong proficiency in SQL and Python

· Strong proficiency in statistical and machine learning fundamentals

· Demonstrated ability to translate business priorities into data science products

· Excellent oral and written communication

· Experience working on claims and EHR data across a variety of therapeutic areas

· Experience translating research into production to build novel deep learning models