Senior Bioinformatics Analyst

Institution/Company:
University Health Network
Location:
Toronto, ON, Canada
Job Type:
  • Staff
Degree Level Required:
Bachelor's, Masters
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Senior Bioinformatics Analyst

Transforming lives and communities through excellence in care, discovery and learning.

The University Health Network, where “above all else the needs of patients come first”, encompasses Toronto Rehabilitation Institute, Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre and the Michener Institute of Education at UHN. The breadth of research, the complexity of the cases treated, and the magnitude of its educational enterprise has made UHN a national and international resource for patient care, research and education. With a long tradition of groundbreaking firsts and a purpose of “Transforming lives and communities through excellence in care, discovery and learning”, the University Health Network (UHN), Canada’s largest research teaching hospital, brings together over 16,000 employees, more than 1,200 physicians, 8,000+ students, and many volunteers. UHN is a caring, creative place where amazing people are amazing the world.

University Health Network (UHN) is a research hospital affiliated with the University of Toronto and a member of the Toronto Academic Health Science Network. The scope of research and complexity of cases at UHN have made it a national and international source for discovery, education and patient care. Research across UHN’s five research institutes spans the full spectrum of diseases and disciplines, including cancer, cardiovascular sciences, transplantation, neural and sensory sciences, musculoskeletal health, rehabilitation sciences, and community and population health.

Responsibilities:

Analysis of next-gen sequence data including RNA, WES, ATAC, ChIP sequencing data. Developing and maintaining existing pipelines and Identifying and testing new tools and methods for NGS data analysis. Integrative analysis from multi-data types generated internally as well as use of publicly available datasets. Providing reports, analysis results and descriptions of methods used.

Qualifications:

B. Sc or M. Sc in Computer Science, Bioinformatics or Biology. Knowledge of bioinformatics, with an emphasis on genome sequence analysis and gene annotation. Background in biology, genetics, and statistics. Experience with single cell data analysis is a plus. Experience with bioinformatics resources, databases, tools and common standard formats. Experience developing and implementing algorithms for the processing of large genomics and biomedical data sets. Proficiency in Linux and writing scripts in python and R is essential. Effective oral and written communication, analytical, and interpersonal skills Familiarity with HPC environments and how to run applications in HPC clusters is highly desirable.