Position: Bioinformatics Analyst
Site: Princess Margaret Cancer Centre
Department: Medical Biophysics
Reports to: Principal Investigator
Hours: 37.5 per week
Pay Scale: $31.88 - $39.84 per hour(commensurate with experience and consistent with UHN Compensation Policy)
Status: Temporary Full-time (2 year contract)
University Health Network (UHN) is looking for an experienced professional to fill the key role of Bioinformatics Analyst in our Medical Biophysics 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 Kumar Lab at the Princess Margaret Cancer Centre and The University of Toronto is looking for an enthusiastic and highly motivated Bioinformatics Analyst. This position is ideal for recent graduates and computational scientists seeking opportunities to work in the area of cancer genomics. Our research interests include developing and applying novel computational frameworks that leverage large-scale multi-omics and biomolecular structural data to identify clinically actionable cancer biomarkers and study tumor evolution. Bioinformatics analysts will work closely with graduate students, post-doctoral associates, clinicians, and experimental collaborators to develop new integrative methods and software to identify clinically actionable cancer biomarkers.
Responsibilities:
Analyze large-scale biomolecular and sequencing data from major internal and external resources
Develop novel statistical and machine learning-based methods and tools
Collaborate with members in the lab and beyond to analyze and interpret biomolecular data, including sequencing, functional genomics, clinical, and biomolecular simulation data
Contribute to the development and testing of data science workflows and implementations in high-performance and cloud computing environments
Contribute toward maintenance of lab code base and software packages
Document and present results in written and oral reports to other lab members
Qualifications:
At a minimum, a bachelor’s degree in bioinformatics, computer science, or statistics/data science
Minimum one (1) year of practical and related experience
Proficiency in programming (e.g. R, Python, BASH, PyTorch/TensorFlow)
Experience working in a Unix-based environment
Prior experience in next-generation sequence data analysis and other biological data analysis are preferred
Team-oriented with excellent written and verbal communication skills
Experience with the application of machine learning/deep learning methods for biological data is preferred
Prior experience in working in HPC and cloud computing environments is preferred
Knowledge of scientific workflow development (e.g., Snakemake, Nextflow, CWL, etc.) and experience with the use of containers (e.g., Docker, Singularity, etc.) is preferred
Vaccines (COVID-19 and others) are a requirement of the job unless you have an exemption on a medical ground pursuant to the Ontario Human Rights Code.
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.
Posting Date: December 9, 2021 Closing Date: December 30, 2021
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 and welcomes all applicants including but not limited to: all religions and ethnicities, LGBTQ2s+, BIPOC, persons with disabilities and all others who may contribute to the further diversification of ideas. 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.
