Job Description
Join QuantumLeap Analytics, a cutting-edge AI pioneer transforming healthcare through data-driven innovation. We're seeking a visionary Senior Data Scientist to architect advanced predictive models that directly impact patient outcomes. Work in a collaborative, agile environment with state-of-the-art technology while solving complex challenges in genomics and personalized medicine. Enjoy competitive benefits, flexible work arrangements, and opportunities to publish groundbreaking research.
Responsibilities
- Develop and deploy machine learning models for predictive analytics in clinical applications
- Lead A/B testing frameworks to optimize healthcare delivery systems
- Collaborate with cross-functional teams to translate business problems into technical solutions
- Automate data pipelines using cloud-native technologies (AWS/GCP)
- Present findings to executive stakeholders through compelling data visualizations
- Mentor junior data scientists and champion data governance best practices
Qualifications
- Master's degree in Data Science, Statistics, Computer Science, or related field
- 5+ years of experience building production ML models in Python/R
- Expertise in statistical modeling (regression, time series, Bayesian methods)
- Proficiency with cloud platforms (AWS SageMaker, GCP AI Platform)
- Strong SQL skills and experience with large-scale datasets
- Published research or portfolio demonstrating advanced analytics projects
- Experience in healthcare/pharma domain preferred