| POSITION TITLE |
Bioinformatics Specialist (Junior Programmer) |
| DEPARTMENT |
LTRI (Network Biology Collaborative Centre) |
| EMPLOYMENT TYPE |
Regular, Full-Time |
| HOURS OF WORK |
37.5 hours per week |
| EMPLOYEE GROUP |
Non-Union |
| REPORTS TO |
Principal Investigator |
About Us:
The Lunenfeld-Tanenbaum Research Institute (LTRI), part of Sinai Health, is one of Canada's leading biomedical research institutes. It focuses on understanding the underlying mechanisms of diseases to develop new diagnostics and therapeutic strategies. An area of expertise is mass spectrometry-based proteomics embedded within the Network Biology Collaborative Centre (NBCC, https://nbcc.lunenfeld.ca/). The NBCC Proteomics Core is led by Dr. Anne-Claude Gingras, Vice President of Research at Sinai Health and Director of the Lunenfeld-Tanenbaum Research Institute. We are seeking a skilled programmer with a background in data analysis and machine learning to join our dynamic team. This talented individual will develop and implement software solutions to process, analyse, and visualise mass spectrometry data with a special emphasis on using machine learning methods. They will work alongside others to improve our laboratory information management system, called ProHits, collaborating closely with our scientific team to design, develop, and optimize platforms for analysis and visualization of proteomics data. Prohits-viz and Human Cell Map are two resources that our team has built to aid in proteomics data analysis and visualization.
Position Overview:
The successful candidate will work within the Gingras laboratory and NBCC-proteomics and will play a key role in developing and implementing innovative software solutions to advance our proteomics research. They will collaborate closely with our research team to design, develop, and optimize software and machine learning platforms that align with our research goals.
Key Responsibilities:
- Help design and implement user-friendly web platforms, distributable platforms for the analysis and visualisation of mass spectrometry-based proteomics data.
- Assist with the development and management of robust databases to store vast amounts of research data securely.
- Collaborate with the research team to gather specific software needs and help customize solutions.
- Assist with the update of existing software so they meet current research requirements.
- Help troubleshoot and resolve software-related issues in a timely manner.
- Keep up-to-date on the latest developments in web design, database management, and proteomics data trends.
Qualifications:
- Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or a related field. Advanced degrees are a plus.
- 1-3 years of proven experience in data analysis and/or machine learning.
- Proficient in Python (numpy, pandas, xgboost, PyTorch), R (tidyr, shiny), Javascript, NodeJS, SQL.
- Experience with containerisation, version control, and database systems.
- Experience in a UNIX/Linux environment, specifically for high-performance computing (HPC) using graphics processing units (GPUs).
- Familiarity with all aspects of the software design cycle and software development best practices.
- Strong understanding of proteomics is a plus.
- Excellent problem-solving skills and attention to detail.
- Must be able to communicate (verbal and written) information within the team and to users of the facility.
Why Join Us?
- Opportunity to work at the cutting edge of proteomics research.
- Collaborative and supportive work environment.
- Competitive salary and benefits package.
- Ongoing professional development opportunities.
Salary range: $70,845 - $77,915
Application Instructions
Interested candidates are encouraged to apply by sending their CV and a brief cover letter detailing their relevant experience to Interfolio (Apply - Interfolio). The application deadline is December 15th, 2025 or until a suitable candidate is found.
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.
Our hiring process uses job posting portals that screen for relevant keywords, followed by a review from a human recruiter.
| Posting open until December 15, 2025. We thank all candidates for applying. Only those selected for an interview will be contacted. |
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