Research
Location
Hamilton, ON | Canada
Job description
Job Description - Data Scientist (111544)
: Administrative/Service
: Ontario-Hamilton
This position will be located at: Offsite Location
: Research
: Regular Full-time
Hours per week: 37.5
: 1
Union Code: Non Union Employees
: 47.4600 Hourly
: 60.8500
: Mar 1, 2024, 5:00:00 AM
: Mar 15, 2024, 3:59:00 AM
Unit Summary The Digital Health Innovation team's aim is to use machine learning, artificial intelligence and novel digital health applications to improve patient care and enhance medical research. Our team has two major areas of strength: Data Science (applied machine learning/artificial intelligence) and Application Development (the creation of new digital health products in partnership with clinicians and researchers).
The Data Scientist role leads the Digital Health Innovation team's efforts in predictive modeling using machine learning to support clinical care and research, including Omics, patient oriented research, clinical trials and epidemiology studies. Key responsibilities include analysis planning, feature engineering, model building, statistical interpretation, project management and resource management.
Schedule Work Hours Normal working hours
• Mastery of Python, R, and/or any other data science programming languages of choice.
• Demonstrated mastery of one realm of data science, such as deep learning, reinforcement learning, or classification/regression using massive parallel processing.
• Experience using a large range of data science methods preferred, such as
multivariable regression modeling (including linear, logistic, 2-stage , and multilevel regression), survival analysis, generalized equation estimation models including hierarchical modeling and repeated measures, cluster analysis, principal component analysis, path analysis, risk prediction modeling, econometric analysis including time series analysis, two-stage modeling, text analytics, natural language processing, classification and regression trees, recursive partitioning, simulation modeling, optimization, deep learning, etc. There will be a particular focus on analysis of large datasets with respect to identifying patterns, clusters, trajectories, and prediction models for this position.
• Experience with multiple study design formats preferred, such as cross-sectional studies, cohort studies, case-control studies and time series designs
• Experience visualizing data for a broad range of audiences an asset
• Data management and/or monitoring experience an asset
As a condition of employment, you are required to submit proof of full COVID-19 vaccination to Employee Health Services.
Hamilton Health Sciences fosters a culture of patient and staff safety, whereby all employees are guided by our Mission, Vision, Values, and Values Based Code of Conduct. Hamilton Health Sciences is a teaching hospital and all staff and physicians are expected to support students and other learners.
To be considered for this opportunity applicants must apply during the posting period. All internal and external applicants may ONLY apply via the Careers website.
Hamilton Health Sciences is an equal opportunity employer and we will accommodate any needs under the Canadian Charter of Rights and Freedom, Accessibility for Ontarians with Disabilities Act and the Ontario Human Rights Code. Hiring processes will be modified to remove barriers to accommodate those with disabilities, if requested. Should any applicant require accommodation through the application processes, please contact HR Services at 905-521-2100, Ext. 46947 for assistance. If the applicant requires a specific accommodation because of a disability during an interview, the applicant will need to advise the hiring manager when scheduling the interview and the appropriate accommodations can be made.
This competition is open to all qualified applicants, however, qualified internal applicants will be considered first. Past performance will be considered as part of the selection process. If you are a previous employee of Hamilton Health Sciences, please note: the circumstances around an employee's exit will be considered prior to an offer of employment
Proficiency in both Official Languages, French and English, is considered an asset
If this position is temporary, selection for this position will be as per the outlined Collective Agreements:
Article 30 (k), CUPE Collective Agreement
Article 10.7 (d), ONA Collective Agreement
Article 13.01 (b) (ii), OPSEU 273 Collective Agreement
Article 14.04, OPSEU 209 Collective Agreement
Article 2.07 and Article 13, PIPSC RT Collective Agreement
Job tags
Salary
