Senior Bioinformatics Analyst

University Health Network (UHN) is looking for an experienced professional to fill the key role of Senior Bioinformatics Analyst in our Clinical Bioinformatics team.

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 ground-breaking 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.

As an integral member of the Clinical Bioinformatics team, the Senior Bioinformatics Analyst plays a key role in supporting the efforts of the clinical Genome Diagnostics laboratory. Primary responsibilities include providing expertise in NGS data analysis; providing expertise in data storage, sharing and organization; working with the clinical laboratory staff to develop workflows in the Laboratory Information Management System (LIMS); developing and maintaining databases/GUI key to laboratory functions.

• Analysis of clinical next-gen sequence data including both DNA and RNA analysis.
• Developing and maintaining existing clinical pipelines and identifying and testing new tools and methods for NGS data analysis.
• Further supporting the clinical laboratory through providing reports, result analysis, methods and code development and proper documentation
• Scripting and workflow development in the LIMS employed by the clinical Genome Diagnostics Laboratory.

• BSc or MSc 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 bioinformatics resources, databases, tools and common standard formats.
• Experience developing and implementing pipelines for the processing of large genomics and biomedical data sets.
• Proficiency in Linux, version control (git) and writing scripts in python and R is essential.
• Experience with full-stack development, databases, frameworks, and APIs.
• Effective oral and written communication, analytical, and interpersonal skills
• Familiarity with HPC environments and how to run applications in HPC clusters is highly desirable.
• Experience with Laboratory Information Management System (LIMS) system development and implementation would be an asset.