Data Scientist

4 weeks ago

Mississauga, Canada Trillium Health Partners Full time

**Job Description**:
**Position**:Data Scientist, AI Deployment and Evaluation Lab

**Department**:Institute for Better Health

**Posting ID**:2024-36966

**Status**:Temporary Full Time (2 years)

**Role Level**:PG11 ($45.04 - $56.29)

**Hours of Work/Shifts**:M-F | 37.5 hours per week

**Site**:Credit Valley Hospital

**Posted**:March 25, 2024

**Internal Deadline**:April 22, 2024

Trillium Health Partners (THP) is one of the largest community-based acute care facilities in Canada. Comprised of the Credit Valley Hospital, the Mississauga Hospital and the Queensway Health Centre, Trillium Health Partners serves the growing and diverse populations of Mississauga, West Toronto and surrounding communities and is a teaching hospital affiliated with the University of Toronto.

Our Mission**:A New Kind of Health Care for a Healthier Community**

Our Values**:Compassion, Excellence, Courage**

Our Goals**:Quality, Access, Sustainability**

Our Enablers**:People, Education, Innovation, Research**

**Trillium Health Partners and the Institute for Better Health**

Trillium Health Partners (THP) is the largest community-based hospital system in Canada. Comprised of Credit Valley Hospital, Mississauga Hospital and Queensway Health Centre, Trillium Health Partners serves the growing and diverse populations of Mississauga, West Toronto and surrounding communities. Trillium Health Partners is a teaching hospital affiliated with the University of Toronto and is an associate member of the Toronto Academic Health Science Network.

For more information, visit the IBH website here.

**The Role**

The Institute for Better Health is seeking a Data Scientist that will support the AI Deployment and Evaluation Lab (AIDELab.ca). The AI Deployment and Evaluation Lab is a global leader in bridging the gap between academic and industrial research and real-world deployment of clinical AI tools. The AIDE Lab is a cross-discipline team composed of clinicians, computer scientists, software engineers, informaticists and health system researchers. It focuses on projects related to clinical AI tool deployment (imaging and EMR-based tools such as pneumonia detection and sepsis prediction), third-party AI evaluation, open data set creation, and opportunistic screening. The AIDE Lab collaborates with leading AI centers across north America and has works presented and published in high impact environments.

This is a unique opportunity to be exposed to AI applied in the clinical setting, support innovative health research and to play a pivotal role in enabling and mobilizing health research within hospital and community settings.

**Responsibilities**:

- Develop and implement machine learning algorithms and models to extract insights from healthcare data, including electronic health records, medical imaging, and wearable devices.
- Design and execute rigorous evaluation plans to assess the performance, efficacy, and impact of machine learning models in real-world clinical settings.
- Analyze and interpret experimental results, and communicate findings effectively through written reports, presentations, and peer-reviewed publications.
- Liaise and collaborate with non-technical stakeholders, including communicating about complex technical concepts and actional insights with hospital leaders and industry partners.
- Stay current on developments in data science, machine learning, and healthcare informatics, and actively contribute to the scientific community through conferences, workshops, and collaborations.
- Contribute to growing and amplifying the profile and impact of the AIDE Lab, including taking initiative to conceive of new projects in line with strategic priorities.
- Lead knowledge translation and presentation findings including manuscript writing, conference presentations, and workshops.
- Other tasks and activities identified by the AIDE Lab Principal Investigator.

**Qualifications**:
Core Qualifications:

- Strong programming skills in languages such as Python or R, along with experience using libraries and frameworks for machine learning (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong data manipulation, analysis, and visualization skills, using tools like pandas, NumPy, and Matplotlib.
- Excellent communication and collaboration skills, with the ability to translate complex technical concepts into clear and actionable insights for non-technical stakeholders.
- Experience working with healthcare data (e.g., electronic health records, medical imaging, clinical trials) and understanding of relevant ethical, privacy and regulatory considerations.

Additional Qualifications that are an asset to the role:

- Experience in writing production level code outside of a data science capacity (full stack, web development, app development, etc.).
- Experience working with cloud computing environments.
- Cover letter detailing your interest in the role
- CV
- Writing sample

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