Job Posting #: 920222

Position: Bioinformatics Analyst 

Union: Non-Union

Site: Toronto General Hospital

Department: Peter Munk Cardiac Centre Artificial Intelligence Team

Reports to: Project Manager         

Hours: 37.5 per week

Salary: $65,000 - $75,000 annual commensurate with experience and consistent with UHN per hour commensurate with experience and consistent with UHN compensation policy

Status: Temporary Full-Time 

Shifts: Monday- Friday

Posted Date: May 26, 2023

Closing Date: June 26, 2023

The University Health Network, where “above all else the needs of patients come first”, encompasses Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre, Toronto Rehabilitation Institute and the Michener Institute of Education. 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. 

Position Summary

Working under the direction of the Project Manager and Lead Data Scientist, a bioinformatics analyst will be responsible for applying their technical knowledge and skills in the domains of computational biology and/or bioinformatics towards the collection and analysis of genomic data. They will support, design, and implement computationally focused, interdisciplinary scientific research projects and keep abreast of current principles, theories, and techniques relevant to computational biology/bioinformatics.

Duties:

• Collect, manage, and study genomic data by using computer software and hardware;
• Work with external and internal stakeholders to develop a platform to support precision medicine projects;
• Annotate and analyze data for further analysis or research;
• Systematic exploration of high-dimensional data to identify new computational approaches;
• Integrative analysis of multiple data types.

Qualifications:

• A degree in computer science, bioinformatics, data science or related field;
• Background in machine learning and data analysis;
• Proficiency in python and/or R;
• Proficiency in Unix or Linux;
• Familiarity with HPC environment and running applications in HPC clusters;
• Background in biology, genetics, medicine and/or statistics;
• Strong portfolio of projects using genomic data or demonstrates familiarity with whole genome sequencing;
• Able to commit to the role for 1 year and can come in person 1-2 days a week.

Why join UHN? 

In addition to working alongside some of the most talented and inspiring healthcare professionals in the world, UHN offers a wide range of benefits, programs and perks. It is the comprehensiveness of these offerings that makes it a differentiating factor, allowing you to find value where it matters most to you, now and throughout your career at UHN. 

• Competitive offer packages
• Government organization and a member of the Healthcare of Ontario Pension Plan (HOOPP https://hoopp.com/)
• Close access to Transit and UHN shuttle service
• A flexible work environment
• Opportunities for development and promotions within a large organization
• Additional perks (multiple corporate discounts including: travel, restaurants, parking, phone plans, auto insurance discounts, on-site gyms, etc.)

Current UHN employees must have successfully completed their probationary period, have a good employee record along with satisfactory attendance in accordance with UHN's attendance management program, to be eligible for consideration. 

Vaccines (COVID and others) are a requirement of the job unless you have an exemption on a medical ground pursuant to the Ontario Human Rights Code. 

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. Applicants need to make their requirements known in advance.  Any information received related to an accommodation will be addressed confidentially. 

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