Job description
Organization description
Le Centre universitaire de santé McGill (CUSM) est un centre hospitalier universitaire intégré, reconnu à l’échelle internationale pour l’excellence de ses programmes cliniques, de sa recherche et de son enseignement. Le CUSM a pour objectif d’assurer aux patients des soins fondés sur les connaissances les plus avancées dans le domaine de la santé et de contribuer au progrès des connaissances.
Job Description
POSITION SUMMARY:
Under the direct supervision of the Scientific Director of the Health Informatics & Analytics Unit the incumbent is part of a team building the data backbone for a learning health system at the MUHC.
The data scientist is responsible for developing predictive algorithms and other machine learning (ML) based innovations in data science for use healthcare research and practice in a safe, ethical and cost-effective manner. The individual will design, implement and support statistical and ML models for use in clinical, administrative, and research settings.
The goal is to ensure the ongoing operation of a modern clinical and research data analytics ecosystem for use by the MUHC and RI-MUHC communities. This ecosystem will concurrently facilitate research and clinical performance and quality operations, including dashboard-based tracking and quality assessment.
GENERAL DUTIES
- Build, deploy and maintain AI and ML enabled care workflows. This includes working with others at the MUHC to design and develop solutions to the problems undertaken by the Unit,
- Evaluate tools, platforms and strategies used by the Unit and MUHC partners to manage the lifecycle of building models from healthcare data,
- Train, develop, and validate researcher-,built or vendor provided machine learning algorithms on hospital data with strong quality control checks and bias assessments.
https://rimuhc.ca/en
Education / Experience
- PhD/MS degree in statistics, informatics or related field,
- PhD: Experience preferred,
- MS Degree: 4+ years of related experience with applied problems,
- Ability to write code in SQL, R, and Python for processing large datasets in distributed cloud environments, and experience in processing and analyzing healthcare data,
- Experience developing, evaluating, and implementing machine learning models,
- Experience working with clinicians and researchers across disciplines to develop approaches for use in clinical care,
- Experience working in cloud environments or working in a healthcare organization,
- Graduate level understanding of techniques in machine learning, knowledge representation, and artificial intelligence along with a strong understanding of statistics,
- Knowledge of software development, machine learning, and technology infrastructure
- Excellent verbal and written communication skills, strong interpersonal skills, along with demonstrated creativity and latitude in problem solving, including the ability to prioritize and execute multiple competing tasks.
WORKING CONDITIONS:
Status: Full time
Compensation Level: Commensurate with qualifications and experience / $66,484.60 - $123,468.80.
Work Schedule: Monday to Friday, 8:30 a.m. to 4:30 p.m.
Work Site: Glen Site, MUHC
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, [email protected]
About Centre universitaire de santé McGill
Revenue: $2 to $5 billion (USD)
Size: 10000+ Employees
Type: College / University
Website: www.cusm.ca