Scientific Lead Computational Biology and AI in Precision Health

Scientific Lead for Computational Biology and AI in Precision Health

Department:
Turvey Laboratory, Department of Paediatrics, Faculty of Medicine.

Compensation Range: $8,305.08 – $12,952.33 CAD per month.

Senior computational biologist responsible for leading multi‑omics data integration, artificial intelligence strategy, and translational research initiatives within the Turvey Laboratory, focusing on monogenic causes of human disease.

• Architect and directs integrated multi‑omics data analyses and AI strategies across laboratory programs.
• Develops and deploys interpretable machine‑learning models for high‑dimensional genomic, transcriptomic, epigenomic, proteomic, metabolomic, microbiome and clinical data.
• Interprets large‑scale biological data to support translational research in immunology, infectious diseases, inflammation and precision medicine.
• Provides scientific advisor to investigators on study design, analytical methodology, statistical considerations and data interpretation.
• Identifies emerging technologies and maintains laboratory’s competitive edge.
• Establishes strategic partnerships with internal and external stakeholders for collaborative research initiatives.

• Co‑ordinates data integration activities across concurrent projects, establishing timelines, deliverables and quality standards.
• Facilitates communication between wet‑lab researchers, clinicians, computational scientists and collaborators.
• Contributes to grant development, study design, preliminary analyses, budgeting and methodological sections.
• Supports manuscript preparation, presentations and knowledge translation activities.
• Participates in institutional planning on HPC, data management and research infrastructure.

• Designs, implements, and maintains scalable, reproducible analytical pipelines and workflows.
• Oversees stewardship, quality control, harmonization and integration of data assets.
• Promotes best practices in data governance, reproducibility, secure data management, version control and containerization.
• Works with IT and HPC teams to optimize cluster infrastructure and cloud‑based analytical environments.
• Evaluates, benchmarks and deploys specialized software tools, databases and platforms.

• Mentors laboratory personnel, trainees and collaborators in computational biology and multi‑omics data analysis.
• Develops analytical standards, protocols and educational resources.
• Fosters an inclusive, interdisciplinary culture of collaboration and knowledge sharing.
• Represents the laboratory in high‑level collaborative meetings, workshops and scientific working groups.

• Ensures all computational and data storage activities comply with institutional policies, ethical standards, privacy regulations and data‑sharing agreements.
• Maintains current knowledge of relevant scientific, technical and regulatory developments.

• Post‑graduate degree in Statistics.
• Minimum five years of experience in integrative analysis or equivalent combination of education and experience.
• Demonstrated commitment to equity, diversity and inclusion.

• Ph.D. in bioinformatics, computational biology, systems biology, biostatistics, computer science, genomics, immunology or related discipline.
• At least 10 years of post‑Ph.D. experience in computational biology, bioinformatics or multi‑omics research, preferably in academic, industry or translational settings.
• Experience integrating high‑dimensional biological datasets, supporting collaborative research programs and coordinating scientific projects.

• Expertise in computational biology, bioinformatics, systems biology and multi‑omics integration.
• Advanced programming in R, Python and Bash; experience with HPC (e.g., Slurm), cloud, workflow management and containerization.
• Strong background in analysis and interpretation of high‑dimensional datasets and biomarker development.
• Excellent publication record, grant‑writing experience and mentorship…