Job Description
Reference Number: 000001847
Posted Date: 7/13/2023
Closing Date: 7/21/2023
Department: LTRI
Position: Research Assistant III
POSITION TITLE Research Assistant III
DEPARTMENT LTRI
EMPLOYMENT TYPE Regular, Full-Time
HOURS OF WORK 37.5 hours per week
EMPLOYEE GROUP Non-Union
REPORTS TO Principal Investigator
The Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital a University of Toronto affiliated research centre, is one of the world's leading centres in biomedical research. With ground-breaking discoveries in research areas such as diabetes, genetic disorders, cancer and women’s and infants’ 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.
We are looking for a Research Assistant III interested in assisting in the development of machine learning models to infer causal genetic variants, genes and cell types for brain diseases. These models will leverage multiple sources of large-scale biological data, including the results of genetic studies (genome-wide association studies) on hundreds of thousands of people, information on how variants relate to genes and cell types (single-cell omics), and information on how genes relate to each other (biological networks).
Responsibilities of the Research Assistant III include but are not limited to:
- Assisting in the collection, integration, and preprocessing of large-scale biological data from genetic studies, single-cell omics, and biological networks
- Contributing to the development and implementation of machine learning models for inferring causal relationships between genetic variants, genes, and cell types in brain diseases
- Collaborating with other lab members to analyze and interpret the results, and potentially assisting in the publication of research findings
REQUIREMENTS
- Bachelor's degree in a science, technology, engineering or mathematics field; Master's degree preferred
- Strong computational skills in Python and/or R
- Knowledge of biology preferred
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).
To ensure the safety and wellbeing of all our people and patients, Sinai Health has made it a priority to support everyone in getting vaccinated against COVID-19. Consistent with this, our Staff Immunization & Surveillance Policy was recently updated to include the requirement for full vaccination – currently defined as receiving two doses and serving a 14-day waiting period following the second dose – in order to be able to work at Sinai Health. To be compliant with our updated Policy, you must provide proof of dual COVID-19 vaccination, as indicated on the Prospective Immunization and Surveillance Policy Information Sheet, in order to be eligible for employment at Sinai Health. If you believe you are one of the very few people who may require an exemption from vaccination, supporting medical information must be submitted to our Occupational Health department, who will review and assess.
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.
We thank all candidates for applying. Only those selected for an interview will be contacted.
Hours: 37.5 hours per week
Contact Name: Online
Contact Email: Online
Contact Phone: Online
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