Health Data Science Faculty

The Gilbert and Rose-Marie Chagoury School of Medicine at Lebanese American University has a Faculty Position in Health Data Science on its Byblos campus, within the Population Health Discipline. It is a full-time academic post open at Assistant Professor, Associate Professor or Professor level.

About the health data science faculty job in Byblos

The post is meant to complement the School’s existing strengths in epidemiology and biostatistics. It adds capacity in health data integration, predictive modeling, digital health technologies and data-driven healthcare innovation. The appointee teaches in undergraduate and graduate medical education, builds a research portfolio, and works closely with the School’s Digital Health and Artificial Intelligence program.

Responsibilities

• Teaches population health data science, data visualization, quantitative methods and machine learning in medical and health professions programs, in step with the Digital Health and AI curriculum
• Contributes to curriculum development, educational innovation, assessment and continuous quality improvement
• Builds an independent, externally visible research program suited to the academic rank
• Leads and joins interdisciplinary research on real-world health data, including electronic health records, registries, administrative databases, population-health datasets and environmental and spatial data
• Works with epidemiologists, biostatisticians, clinicians and public health researchers to strengthen the analytical methods of multidisciplinary teams
• Pursues internal and external research funding and publishes peer-reviewed scholarship
• Supervises and mentors medical and graduate students, residents, fellows, research staff and junior investigators
• Helps design and lead health data science programs, concentrations and certificates, and serves on discipline, School and University committees

Requirements

• A PhD or equivalent doctoral degree, with a record of applying data-science and computational methods to health, clinical or population-health questions
• Research and scholarly productivity appropriate to the proposed rank
• Expertise in health data science and advanced analytics, including population health informatics, digital health, electronic health records, health information systems and interoperability
• Expertise in health data management and integration, from data acquisition and cleaning to database management, data quality assessment and reproducible workflows
• Proficiency in R and/or Python, plus a visualization or business-intelligence platform such as Power BI
• Experience applying statistical modeling and machine learning, including predictive analytics and risk modeling, to complex real-world health datasets such as registries, claims data and surveillance data
• Evidence of effectiveness or strong potential in university teaching and mentorship
• Ability to work in multidisciplinary teams, with excellent written and oral English

Preferred qualifications

• Advanced health data science methods such as natural language processing, large-scale longitudinal analysis and multimodal data integration
• Public health intelligence and surveillance, including early-warning systems and decision-support tools
• Geographic Information Systems and spatial epidemiology
• Health data governance and responsible data use, covering privacy, security, ethics and equity
• A track record of winning research grants and leading interdisciplinary research initiatives

How to apply

Applications go by email to Dean Sola Aoun Bahous at [email protected], with a copy to [email protected]. The package consists of:

• A cover letter
• A detailed CV
• A statement of teaching philosophy and educational experience
• A statement of current and future research interests
• Selected publications or links to them
• Contact details for three professional references

Applications are accepted until the position is filled. Questions go to Mrs. Roula Faour, Senior Faculty Affairs Associate in the Office of the Dean, at [email protected].