Scientific Lead for Computational Biology and AI in Precision Health

Responsibilities

• Architect and direct the design, development, and implementation of integrated multi-omics data analyses and AI strategies.
• Develop and deploy cutting-edge computational approaches, including interpretable machine learning models, for high-dimensional datasets.
• Interpret complex biological data to support translational research in immunology, infectious diseases, and precision medicine.
• Design, implement, and maintain production-grade, scalable, and reproducible analytical pipelines and workflows.
• Oversee data stewardship, quality control, harmonization, and integration of large-scale data assets.
• Provide technical mentorship and training to laboratory personnel, trainees, and collaborators.
• Support grant development by contributing to research strategy, study design, and methodological sections.

Requirements

• Post-graduate degree in Statistics.
• Minimum of five years of related experience in integrative analysis.
• Demonstrated commitment to enhancing awareness, knowledge, and skills related to equity, diversity, and inclusion.

Preferred Qualifications

• PhD in bioinformatics, computational biology, systems biology, biostatistics, or a related discipline.
• 10+ years of post-PhD experience in computational biology or multi-omics research environments.
• Advanced programming and scripting expertise in R, Python, and Bash.
• Extensive experience with high-performance computing (HPC) environments, cloud-based infrastructure, and containerized solutions (e.g., Docker/Singularity).
• Expertise in integrating bulk and single-cell genomic, transcriptomic, epigenomic, proteomic, and clinical datasets.
• Strong scientific publication record and experience in interdisciplinary research collaboration.

About the Company

The University of British Columbia is a global centre for research and teaching, consistently ranked among the top 20 public universities globally. The Turvey Laboratory at UBC focuses on identifying monogenic causes of human disease through advanced immunology and precision medicine research.