| POSITION TITLE |
Biostatistician |
| DEPARTMENT |
LTRI (Department of Paediatrics) |
| EMPLOYMENT TYPE |
Temporary, Part-Time |
| HOURS OF WORK |
Maximum of 24 hours per week |
| EMPLOYEE GROUP |
Non-Union |
| REPORTS TO |
Clinical Principal Investigator |
The Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, a University of Toronto affiliated research center, is one of the world's leading centers in biomedical research. With ground-breaking discoveries in research areas such as diabetes, genetic disorders, cancer, and women's and infant health, the Institute is committed to excellence in health research and the training of young investigators. Strong partnerships with the clinical programs of Mount Sinai Hospital ensure that scientific knowledge is used to promote human health. Your significant contributions will assist in maintaining our momentum in advancing our research.
POSITION OVERVIEW
The Department of Paediatrics of Mount Sinai Hospital is one of the largest academic centres for neonatal care in the country. We are seeking a temporary part time (12 month contract) Biostatistician to support the Neonatology clinical research program and work on Artificial-Intelligence projects.
The successful candidates will work under the supervision of the Principal Investigators but must be able to work independently and effectively.
The successful candidate will:
- Extract, clean, and harmonize clinical and health administrative data from EHR systems and hospital databases
- Design, develop, and validate machine learning models to support clinical decision-making, risk prediction, or diagnostic tasks
- Collaborate with clinicians and researchers to define problem statements and ensure model outputs are clinically meaningful
- Manage REB submissions and amendments as needed for AI projects, and ensure compliance with privacy regulations when handling patient data
- Document methodology and contribute to manuscripts, reports, and grant submissions
- Present findings to interdisciplinary teams including clinicians and hospital administrators
- Demonstrate enthusiasm and initiative for projects within the Department’s portfolio. The incumbent may be assigned other duties as directed by the supervising investigators.
EDUCATION & EXPERIENCE REQUIREMENTS
Education
- Master’s degree in statistics with 3 to 5 years of experience (PhD preferred)
Required skills and experience:
- 3-5 years of relevant experience
- Experience developing machine learning models applied to healthcare or clinical datasets
- Proficiency in Python, with experience using standard ML libraries (scikit-learn, PyTorch, TensorFlow)
- Familiarity with clinical data structures (EHR, clinical notes) and REB/ethics processes
- Strong communication skills and experience working within multidisciplinary research teams
- Publication record in peer-reviewed journals or conferences
Additional assets:
- Familiarity with and/or interest in Pediatrics/ Neonatology
Hourly pay range:
Qualified candidates are invited to submit a cover letter and resume in one PDF file.
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. 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 relevant keywords, followed by a review from a human recruiter.
| Posting open until October 20, 2026. We thank all candidates for applying. Only those selected for an interview will be contacted. |
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