Bioinformatics Analyst

Princess Margaret Cancer Centre
Toronto, ON, Canada
Job Type:
  • Staff
Degree Level Required:
Bachelor's, 1 Year of practical and related experience
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Bioinformatics Analyst

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

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 Princess Margaret Cancer Centre, Toronto General Hospital, Toronto Western Hospital, Toronto Rehabilitation Institute, 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. Find out about our purpose, values and principles here

The Schwartz lab is interested in developing new methods and algorithms to understand the role of cellular heterogeneity in evolutionary responses to strong selection, such as the adaptive immune response and drug treatment in cancer. We are a new computational lab especially interested in the emergence of cells resistant to cancer treatment and how they interact with their microenvironment. We will use these new integrative tools to improve diagnosis and treatment of cancer through precision medicine. As such, we are hiring a Bioinformatics Analyst with rank commensurate with experience to support the computational analyses of high-throughput multi-omic data. You will also be working with trainees in the lab to support and oversee the development of these tools and analyses and communicating our findings to the scientific community.

By joining our lab, you will have the opportunity to work with and integrate data from cutting-edge technologies such as single-cell assays to create new tools to help scientists and clinicians understand, diagnose, and treat cancer. For more information on the types of tools we will develop, please visit

If you are interested in making your contribution at UHN, please apply on-line. You will be asked to copy and paste as well as attach your resume and covering letter. You will also be required to complete some initial screening questions.

CLOSING DATE: Until Filled

For current UHN employees, only those who have successfully completed their probationary period, have a good employee record along with satisfactory attendance in accordance with UHN’s attendance management program, and possess all the required experience and qualifications should apply.

University Health Network thanks all applicants, however, only those selected for an interview will be contacted.

UHN is a respectful, caring, and inclusive workplace. We are committed to championing accessibility, diversity and equal opportunity. Requests for accommodation can be made at any stage of the recruitment process providing the applicant has met the Bona-fide requirements for the open position. Applicants need to make their requirements known when contacted.


Develop and oversee high-throughput data pipelines, including data from many new single-cell technologies such as scRNA-seq, scATAC-seq, scMultiome-seq, and Visium spatial transcriptomics Develop new computational methods to integrate and interpret multi-omic data Create and deploy graphical user interfaces for tools developed in the lab and develop web applications to facilitate data exploration and visualization of large-scale data Maintain multi-omic high-throughput databases Assist in manuscript preparation


At minimum, a completion of a Bachelor degree in Computer Science or recognized equivalent in Health and or Science-Related Discipline Minimum one (1) year of practical and related experience Strong background in Linux and Python Strong background in statistics and machine learning Excellent writing and verbal communication skills Experience with version control, specifically Git and GitHub Experience with Next generation sequencing (NGS) data formats such as FASTQ, BAM, Matrix Market, and HDF5 is a plus Experience with Haskell, R, and LaTeX is a plus Willingness to work in a team environment