Assistant Professor (Tenure Track), Department of Pediatrics and Department of Epidemiology, Biostatistics and Occupational Health, Computational/Data Scientist in Child Health (L000651)
Core
Develop methods and platforms for integrating clinical, genomic, and longitudinal datasets to address child health and disease, while establishing an independent, internationally competitive research program.
Role type
Assistant Professor (Tenure Track), Computational/Data Scientist in Child Health
Builds
Externally funded research programs, high-quality peer-reviewed publications, and collaborative multidisciplinary research initiatives.
Domain
Biomedical statistics, epidemiology, child health, genomics, and big data
Deliverable
production ML models
Required skills
Biostatistics, statistical methods, causal inference, risk prediction, privacy protection, spatial models, clinical trial design, machine learning, data integration, grant writing, academic teaching, mentorship
Preferred skills
French language proficiency, experience in neonatal care, early brain development, oncology, infectious diseases, rare diseases, non-communicable diseases, child health services
Technologies
Bayesian methods, big data frameworks, genomic data tools, longitudinal data analysis platforms
Responsibilities
Establish and lead an independent research program; develop and maintain an externally funded research program; generate high-quality peer-reviewed publications; supervise and mentor graduate students and postdoctoral fellows; contribute to teaching in undergraduate, graduate, and postgraduate programs; participate in academic and administrative committees.
Seniority
Senior, tenure-track faculty
