Senior Data Scientist leading innovative disease modeling approaches at healthcare AI company. Collaborating with teams to refine data-driven efforts in pharmaceutical commercialization.
Responsibilities
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
Requirements
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
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
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