| POSITION TITLE |
Bioinformatician |
| DEPARTMENT |
LTRI - Advanced Molecular Diagnostics Laboratory (AMD) |
| EMPLOYMENT TYPE |
Temporary, Full-Time |
| HOURS OF WORK |
37.5 hours per week |
| EMPLOYEE GROUP |
Non-Union |
| REPORTS TO |
Principal Investigator |
Lunenfeld-Tanenbaum Research Institute is one of the world’s leading centers in biomedical research. The research activities are focused around understanding the function of human genes and how genetic pathways and environmental factors lead to the development of human diseases. The research programs at Lunenfeld-Tanenbaum make extensive use of genomics, proteomics and related technologies. A Bioinformatician position is available at the Lunenfeld-Tanenbaum with a focus on investigation of the underlying genetic susceptibility factors associated with COVID-19. This is an excellent opportunity to conduct cutting-edge bioinformatics research, develop novel methodologies and apply bioinformatics tools in a multidisciplinary setting.Paste
LAB DESCRIPTION
The Advanced Molecular Diagnostics Laboratory (AMD) at Toronto’s Mount Sinai Hospital (MSH), Sinai Health System, is a clinically certified laboratory that conducts molecular diagnostic testing for the Greater Toronto Area and the province of Ontario and serves as an international reference centre for molecular diagnostics.
POSITION OVERVIEW:
The successful candidate will be responsible for assisting with various research projects, such as coordinating the flow of work for one main project or multiple projects, and act as a source of information for research activities on a regular basis. They may also assist with writing manuscripts for publication. The successful candidate will join our multidisciplinary community in biomedical informatics, statistical omics, clinical and digital health. Potential candidates should also have demonstrable experience in informatics techniques, data sciences and statistics. This may include methods in bioinformatics, health informatics, data sciences, and applications of data analytics to health and medical data. In addition, the successful candidate will assist with coordinating the flow of work for one main project or multiple projects and acts as a source of information for research activities on a regular basis.
DUTIES AND RESPONSIBILITIES:
- Assist in data management on HPC systems; ensuring genetic data is collected and stored properly, and in compliance with data security and access policies
- Use various bioinformatics software tools/platforms to analyze, interpret, and visualize genomic sequencing results. E.g., genomic association studies (GWAS)
- Develop, optimize, and refactor data processing pipelines such as the gnomAD software framework, and validate their performance across multi-institutional genomic datasets.
- Design and develop bioinformatics pipelines that apply genomic research to real-world problems using public and private data sets, providing software for training, testing, operating, and updating existing tools.
- Design, develop, and contribute to open-source software that applies genomic research techniques to common problems.
- Report and present bioinformatics software outcomes for team efforts, including demos, status, and results.
- Liaise with internal and external researchers, acting as a point of contact between various teams, departments, or research groups to assist with the development of bioinformatics workflows
- Develop project/study protocols and other materials (e.g. questionnaires, data forms, etc.), maintain confidential and accurate project records, and ensure standard operating procedures (SOPs) are kept up-to-date
- Assist with the overall coordination of a research study or project(s), including coordinating day-to-day activities
SKILLS/QUALIFICATIONS:
- MSc in either bioinformatics, statistics, mathematics, data science, computer science, and/or applied health research is preferred.
- 2 years’ minimum bioinformatics experience
- 1+ years’ research coordination experience is considered an asset.
- Experience working with genomic sequencing data, bioinformatics, statistics, data science, and applied health research
- Experience using HPC systems and job schedulers (e.g., SLURM)
- Experience in at least one of the following programming languages: python, R, Unix systems (Bash), Java, database technologies (SQL, mongoDB, neo4j, …), Ruby, etc.
- Experience working with next-generation sequencing (NGS) data analysis packages and/or pipelines (PLINK, GATK best practices, etc.)
- Experience using at least one of the following containerization and workflow management systems (e.g., Docker, Singularity, Nextflow, Snakemake, CWL, WDL)
- Familiarity with online software platforms for sharing and interpreting genomic data
- Familiarity with machine learning, artificial intelligence (AI) algorithms, and/or statistics is an asset.
- Familiarity with cloud-based computing platforms (e.g., AWS, Google Cloud Platform, Microsoft Azure, etc.)
- Excellent communication skills; and proficiency in written and spoken English.
- Excellent organizational skills, ability to work efficiently and effectively with other staff members
Starting salary: 36.331 per hour
In accordance with Institute’s policy and legislated health and safety requirements, employment is conditional upon the verification of credentials, completion of a health review, and demonstrating proof of immunity and vaccination status of vaccine-preventable diseases. All employees and affiliates will follow safe work practices and comply with health and safety policies, procedures, and training. Successful candidates will be required to provide two (2) written reference letters from their former employer(s)/supervisor(s).
We are a fully committed to fairness and equity in employment and our recruitment and selection practices. We encourage applications from Indigenous peoples, people with disabilities, members of sexual minority groups, members of racialized groups, women and any others who may contribute to the further diversification of our Sinai Health community. Accommodation will be provided in all parts of the hiring process as required under our Access for People with Disabilities policy. Applicants need to make their requirements known in advance.
The Lunenfeld-Tanenbaum Research Institute is a scent sensitive environment, and all members of the community are expected to refrain from wearing or using scented products while visiting or working at the Institute. We also support a barrier-free workplace supported by the Institute’s accessibility plan, accommodation and disability management policies and procedures. Should you require accommodation at any point during the recruitment process, including accessible job postings, please contact the Lunenfeld-Tanenbaum Human Resources Department.
| Posting open until November 28, 2025. We thank all candidates for applying. Only those selected for an interview will be contacted. |
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