Research Analyst - Bioinformatics
Research Analyst - Bioinformatics
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Job Description
Position: Research Analyst II
Site: Toronto General Hospital Research Institute
Department: Thoracic Research
Reports to: Principal Investigators
Pay Scale:
Hours: 35 hours per week
Status: Permanent Full-time
University Health Network (UHN) is looking for an experienced professional to fill the key role of Research Analyst II in the Thoracic 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 groundbreaking firsts and a purpose of Transforming lives and communities through excellence in care discovery and learning the University Health Network (UHN) Canadas largest research teaching hospital brings together over 16000 employees more than 1200 physicians 8000 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 UHNs 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.
Job Summary
The Latner Thoracic Surgery Laboratories is a multi-PI group with diverse interests including lung transplantation mesothelioma and esophageal cancer.
We are seeking a highly motivated computational biologist to analyze large-scale sequencing data from cancer transplant and other sources. This individual will work closely with a principal computational biologist a clinician-scientist research technicians and clinical research coordinators. Our research group has a strong focus and proven track record for translational research.
The individual will be responsible for designing and performing computational analyses as directed by the principal bioinformatician investigators or senior staff members. They will primarily maintain and develop computational pipelines for our esophageal adenocarcinoma sequencing program and lung transplant biomarker program. Meticulous record-keeping and documentation of analysis for reproducibility using workflow languages and version control is required. Additional responsibilities will include supervision of junior staff members and students.
The ideal candidate will be meticulous with experimental protocols and documentation enjoy task-focused work and have the capabilities to manage their projects independently while assisting other lab members.
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. Please also attach unofficial transcripts. You will also be required to complete some initial screening questions.
Qualifications :
- BSc with experience MSc or PhD degree in computer science bioinformatics or a related discipline
- Familiarity with Linux and HPC computational environments
- Experience with processing high-throughput sequencing data including SNV indels and structural variants using best practice methods
- Demonstrated experience writing reproducible analysis pipelines using a workflow language such as Snakemake
- Programming experience with Python (preferred) or R with a particular emphasis on data visualization
- Familiarity with C/C/Rust an asset
- Basic understanding of computational algorithms
- Basic knowledge of probability and statistics an asset
- Ability to work independently on analysis pipelines and projects
- Excellent communication skills
- Willingness to work in research and clinical team environments.
Additional Information :
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 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 UHNs attendance management program to be eligible for consideration.
All applications must be submitted before the posting close date.
UHN uses email to communicate with selected candidates. Please ensure you check your email regularly.
Please be advised that a Criminal Record Check may be required of the successful candidate. Should it be determined that any information provided by a candidate be misleading inaccurate or incorrect UHN reserves the right to discontinue with the consideration of their application.
UHN is an equal opportunity employer committed to an inclusive recruitment process and workplace. Requests for accommodation can be made at any stage of the recruitment process. Applicants need to make their requirements known.
We thank all applicants for their interest however only those selected for further consideration will be contacted.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
