Duties and Responsibilities: The successful candidate will focus on the development and application of novel AI, machine learning, and statistical methods for biomedical and health data. The candidate will engage in both independent and collaborative research, driving innovative projects at the intersection of AI, machine learning, statistics, and biomedical sciences. Job responsibilities may include: develop novel machine learning and statistical methods for large-scale real-world health and biomedical data, interpret results, and produce real-world evidence for critical decision making; collaborate with faculty, research staff and students, and domain experts. Present in academic conferences and lead or contribute to manuscript publications in high-impact journals; lead or assist in the grant applications and reports for ongoing funded projects; help organize workshops or conferences on AI and health data. 

Position Qualifications: A Ph.D. in statistics, computer science, biostatistics, mathematics, or a closely related discipline must be conferred by the time the position begins. Strong technical foundation in statistical modeling, machine learning, or AI; Proficiency in computing and programming; excellent communication and collaborative skills. A record of strong publications in peer-reviewed journals or conference proceedings is preferable. A Ph.D. in statistics, computer science, biostatistics, mathematics, or a closely related discipline must be conferred by the time the position begins. Strong technical foundation in statistical modeling, machine learning, or AI; Proficiency in computing and programming; excellent communication and collaborative skills. A record of strong publications in peer-reviewed journals or conference proceedings is preferable. 

We will begin reviewing completed applications on Sep 30, 2025 until the position is filled. Position can start immediately and no later than Jan 15, 2026. The position is funded for a year with a possibility for an extension for another year, depending on performance. Salary will commensurate with skills and experience, and the position is benefit-eligible.