Data Scientist - Canada - Centre universitaire de santé McGill

Centre universitaire de santé McGill

Verified Company

Canada

3 weeks ago

Posted by:

Sophia Lee

beBee Recruiter

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:

***: 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.

Website of the organization

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.

Additional information

WORKING CONDITIONS:

Status:
Full time

Compensation Level:
Commensurate with qualifications and experience

Work Schedule:
Monday to Friday, 8:30 a.m. to 4:30 p.m.

Work Site:
Glen Site, MUHC

Equal Opportunity Employment Program