Job Description:
Position: Senior Bioinformatics Analyst Site: Princess Margaret Cancer Centre Department: Research
Reports to: Principal Investigator
Pay Scale: $70,496 - $88,121 per annum (Commensurate with experience and consistent with UHN Compensation Policy)
Hours: 37.5 hours per week
Status: Permanent Full-time 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 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. 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. Princess Margaret Cancer Centre (PM), a teaching hospital of the University of Toronto, has achieved an international reputation as a global leader in the fight against cancer and is considered one of the top comprehensive cancer treatment and research centres in the world. Princess Margaret Cancer Centre, together with its research institute, is a member of the University Health Network, which also includes the Toronto General Hospital, Toronto Western Hospital and Toronto Rehabilitation Institute. PM is the only facility in Canada devoted exclusively to cancer research, treatment, and education. The Gaiti Lab develops cutting-edge single-cell multi-omics technologies to study human somatic and cancer evolution. We use both computational and experimental methods to study these questions, with an interdisciplinary integration of approaches from computational genetics, functional genomics, and molecular biology. Our particular focus is to dissect the mechanisms that drive and facilitate cancer evolution. Our work includes novel computational frameworks and single-cell multi-omics methodologies to decipher the interactions between genome, epigenome, and phenotype in human cancers. We are looking for an enthusiastic and highly motivated Senior Bioinformatics Analyst. We encourage applications from talented scientists, who are interested in gaining experience in a multidisciplinary, international, and dynamic research environment. The successful candidate will work closely to PhD students, postdoctoral fellows, and computational biologists in the lab to develop new statistical methods and software for the analysis of single cell datasets. This is an exciting opportunity to learn about the latest developments in the growing space of single cell genomics while contributing to new research in cancer evolution and genomics, creating new tools to help scientists and clinicians understand, diagnose, and treat cancer. Responsibilities: - 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.
- Analyze sequencing data using established pipelines.
- Develop new computational methods to integrate and interpret multi-omics data.
- Assist and collaborate with internal and external researchers in interpretation of sequencing data.
- Contribute to the codebase, development, and support of open-source software packages.
- Help to manage lab servers and computational infrastructure.
- Document and present results in written or oral reports to other lab members.
Qualifications: - At minimum, a completion of a bachelor’s degree in bioinformatics, computer science or recognized equivalent in Health and or Science-Related Discipline. Master’s degree is preferred.
- Master's with four (4) years related experience or bachelor’s degree with six (6) years related experience.
- Programming skills in R, Python, BASH, TensorFlow or similar.
- Experience working in a Linux environment.
- Demonstrated exposure to NGS data analysis.
- Team oriented with excellent written and verbal communication skills.
- Training in statistics or machine learning preferred.
- Exposure or training in NGS data analysis, functional genomics and/or human genetics preferred.
- Familiarity with HPC environments and how to run applications in HPC clusters is highly desirable.
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: June 30, 2022 Closing Date: July 21, 2022 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. UHN 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. |
