Research Assistant – Precision Medicine (Remote, part-time) (Research Institute)
Top Benefits
About the role
Do you want to work for a world-renowned research institute that pushes the boundaries of biomedical science and health research? Right here in Montreal! At the Research Institute of the McGill University Health Centre (RI-MUHC), you can be part of an organization focused on scientific discovery and innovation in patient-centered medicine. Join us today and make a difference!
Job Description RESEARCH INSTITUTE OF THE MUHC The Research Institute of the McGill University Health Centre (RI-MUHC) is a world-renowned biomedical and hospital research centre. Located in Montreal, Quebec, the Institute is the research arm of the McGill University Health Centre (MUHC) affiliated with the Faculty of Medicine at McGill University. The RI-MUHC is supported in part by the Fonds de recherche du Québec - Santé (FRQS).
Position Summary We are looking for an independent, motivated part-time Research Assistant with experience in Machine Learning to join our team. In this role, you will contribute to applying (+/- developing) state-of-the-art machine learning models that analyze next generation sequencing and clinical data to support personalized medicine solutions. You will take a hands-on approach in identifying and working with diverse datasets to drive machine-learning analysis. This is an excellent opportunity to work towards making a difference in people's lives.
General Duties
- Apply advanced machine learning techniques, including Graph Neural Networks (GNNs), to solve complex problems in precision medicine.
- Collaborate with our team (machine learning and clinical experts) to apply (+/- build) predictive models that personalize treatment strategies for patients.
- Independently source, analyze, and manage bioinformatics and biomedical datasets, including genomic, clinical, and other omics data, for use in machine learning models.
- Work on end-to-end machine learning pipelines, from data preprocessing to model training, evaluation, and optimization, ensuring high performance and accuracy.
- Use bioinformatics tools and resources to integrate complex datasets and facilitate model development.
- Contribute to the development of new machine learning methodologies to address unique challenges in genomic and healthcare data.
Website of the organization
Education / Experience
- Graduate degree (or equivalent experience) in Computer Science, Mathematics, Bioinformatics, Genomics or a related field.
- Strong experience with machine learning algorithms and proficiency in deep learning, particularly with Graph Neural Networks (GNNs).
- Experience working with genomic datasets.
- Proficiency in Python and machine learning libraries such as PyTorch, PyG, DGL, and scikit-learn.
- Hands-on experience with data preprocessing, feature engineering, and model evaluation in real-world datasets.
- Strong problem-solving skills and the ability to work independently, especially in sourcing and preparing large datasets.
- Strong communication skills, with the ability to clearly present technical concepts to both technical and non-technical audiences.
Required Skills
- Familiarity with precision medicine and machine learning applications in healthcare.
- Experience working in cloud environments (AWS, GCP, or Azure).
- Knowledge of bioinformatics tools for genomics or transcriptomics analysis.
Additional information
Status : Temporary Part-Time (8h/week)
Pay Scale : $35 per hour
Work Shift : Variable Schedule
Work Site : Remote
*** If you wish to include a cover letter, please attach it with your resume in one PDF document. ***
Why work with us?
- 3 days of paid sick leave per year, which includes a maximum of 1 personal day,
- RREGOP government pension plan (defined benefit plan),
- Vacation calculated on a pro-rata basis based on a percentage of your salary,
- 5.3% of your gross earnings will be added to your paycheque in lieu of statutory holidays.
To learn more about our benefits, please visit http://rimuhc.ca/en/compensation-and-benefits
THIS IS NOT A HOSPITAL POSITION. Equal Opportunity Employment Program
The Research Institute of the McGill University Health Centre hires on the basis of merit and is strongly committed to equity, diversity and inclusion within its community. We welcome applications from all qualified candidates who self-identify as members of racialized groups/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and 2SLGBTQIA+ persons. We also welcome candidates with the skills and knowledge to productively engage with diverse communities. Persons with disabilities who anticipate needing accommodations for any part of the application process may confidentially contact, research.talent@muhc.mcgill.ca
About RI-MUHC | Research Institute of the MUHC | #rimuhc
The Research Institute of the McGill University Health Centre (The Institute) brings together pediatric and adult research programs, accelerating the translation of biomedical research to improve human health.
Research Assistant – Precision Medicine (Remote, part-time) (Research Institute)
Top Benefits
About the role
Do you want to work for a world-renowned research institute that pushes the boundaries of biomedical science and health research? Right here in Montreal! At the Research Institute of the McGill University Health Centre (RI-MUHC), you can be part of an organization focused on scientific discovery and innovation in patient-centered medicine. Join us today and make a difference!
Job Description RESEARCH INSTITUTE OF THE MUHC The Research Institute of the McGill University Health Centre (RI-MUHC) is a world-renowned biomedical and hospital research centre. Located in Montreal, Quebec, the Institute is the research arm of the McGill University Health Centre (MUHC) affiliated with the Faculty of Medicine at McGill University. The RI-MUHC is supported in part by the Fonds de recherche du Québec - Santé (FRQS).
Position Summary We are looking for an independent, motivated part-time Research Assistant with experience in Machine Learning to join our team. In this role, you will contribute to applying (+/- developing) state-of-the-art machine learning models that analyze next generation sequencing and clinical data to support personalized medicine solutions. You will take a hands-on approach in identifying and working with diverse datasets to drive machine-learning analysis. This is an excellent opportunity to work towards making a difference in people's lives.
General Duties
- Apply advanced machine learning techniques, including Graph Neural Networks (GNNs), to solve complex problems in precision medicine.
- Collaborate with our team (machine learning and clinical experts) to apply (+/- build) predictive models that personalize treatment strategies for patients.
- Independently source, analyze, and manage bioinformatics and biomedical datasets, including genomic, clinical, and other omics data, for use in machine learning models.
- Work on end-to-end machine learning pipelines, from data preprocessing to model training, evaluation, and optimization, ensuring high performance and accuracy.
- Use bioinformatics tools and resources to integrate complex datasets and facilitate model development.
- Contribute to the development of new machine learning methodologies to address unique challenges in genomic and healthcare data.
Website of the organization
Education / Experience
- Graduate degree (or equivalent experience) in Computer Science, Mathematics, Bioinformatics, Genomics or a related field.
- Strong experience with machine learning algorithms and proficiency in deep learning, particularly with Graph Neural Networks (GNNs).
- Experience working with genomic datasets.
- Proficiency in Python and machine learning libraries such as PyTorch, PyG, DGL, and scikit-learn.
- Hands-on experience with data preprocessing, feature engineering, and model evaluation in real-world datasets.
- Strong problem-solving skills and the ability to work independently, especially in sourcing and preparing large datasets.
- Strong communication skills, with the ability to clearly present technical concepts to both technical and non-technical audiences.
Required Skills
- Familiarity with precision medicine and machine learning applications in healthcare.
- Experience working in cloud environments (AWS, GCP, or Azure).
- Knowledge of bioinformatics tools for genomics or transcriptomics analysis.
Additional information
Status : Temporary Part-Time (8h/week)
Pay Scale : $35 per hour
Work Shift : Variable Schedule
Work Site : Remote
*** If you wish to include a cover letter, please attach it with your resume in one PDF document. ***
Why work with us?
- 3 days of paid sick leave per year, which includes a maximum of 1 personal day,
- RREGOP government pension plan (defined benefit plan),
- Vacation calculated on a pro-rata basis based on a percentage of your salary,
- 5.3% of your gross earnings will be added to your paycheque in lieu of statutory holidays.
To learn more about our benefits, please visit http://rimuhc.ca/en/compensation-and-benefits
THIS IS NOT A HOSPITAL POSITION. Equal Opportunity Employment Program
The Research Institute of the McGill University Health Centre hires on the basis of merit and is strongly committed to equity, diversity and inclusion within its community. We welcome applications from all qualified candidates who self-identify as members of racialized groups/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and 2SLGBTQIA+ persons. We also welcome candidates with the skills and knowledge to productively engage with diverse communities. Persons with disabilities who anticipate needing accommodations for any part of the application process may confidentially contact, research.talent@muhc.mcgill.ca
About RI-MUHC | Research Institute of the MUHC | #rimuhc
The Research Institute of the McGill University Health Centre (The Institute) brings together pediatric and adult research programs, accelerating the translation of biomedical research to improve human health.