Data Scientist developing disease modeling using statistical and machine learning techniques at a healthcare AI company. Collaborating with teams to ensure data - driven solutions and accuracy of models.
About the role
- 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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