Post Doctoral Researcher - Machine Learning/ Computer Science

UHN is Canada's #1 hospital and the world's #1 publicly funded hospital. With 10 sites and more than 44,000 TeamUHN members, UHN consists of Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre, Toronto Rehabilitation Institute, The Michener Institute of Education and West Park Healthcare Centre. As Canada's top research hospital, the scope of biomedical research and complexity of cases at UHN have made it a national and international source for discovery, education and patient care. UHN has the largest hospital-based research program in Canada, with major research in neurosciences, cardiology, transplantation, oncology, surgical innovation, infectious diseases, genomic medicine and rehabilitation medicine. UHN is a research hospital affiliated with the University of Toronto.

UHN's vision is to build A Healthier World and it's only because of the talented and dedicated people who work here that we are continually bringing that vision closer to reality.

www.uhn.ca

Union: Non-Union
Number of vacancies: 1
Site: MaRS - Toronto General Hospital
Department: TGH Research Insitute
Reports to: Principal Investigator
Work Model: Hybrid
Hours: 37.5
Shifts: Monday to Friday
Status: Temporary Full-Time
Closing Date: March 24, 2025

We seek applications for a Data Science Analyst position involving the application of cutting-edge Machine Learning tools to healthcare. The project will focus on how to leverage ideas from deep learning, causal inference and predictive models to develop software for clinicians from large patient datasets with longitudinal clinical, laboratory and molecular data. The candidate would be co-supervised by both Dr. Mamatha Bhat (clinician), Dr. Aman Sidhu (clinician), and Dr. Michael Brudno (Computer Science).

Duties

• 1. Data Processing and Management:
  • Preprocess, clean, and organize large patient datasets, including longitudinal clinical, laboratory, and molecular data.
  • Develop and maintain pipelines for data integration and harmonization from multiple sources.
• 2. Machine Learning Development:
  • Design, implement, and optimize machine learning algorithms, including deep learning and causal inference models.
  • Build and validate predictive models to support clinical decision-making and software tools for healthcare providers.
• 3. Research and Innovation:
  • Collaborate with interdisciplinary teams to define research questions and translate them into computational solutions.
  • Conduct exploratory data analysis to uncover insights and refine hypotheses.
• 4. Software Development:
  • Develop user-friendly software tools for clinicians, integrating advanced machine learning models.
  • Test and troubleshoot applications to ensure reliability and accuracy in a clinical setting.
• 5. Grant Writing and Manuscript Preparation:
  • Contribute to the preparation and submission of research grant proposals to secure funding for ongoing and future projects.
  • Write, edit, and submit manuscripts for publication in peer-reviewed journals, summarizing key findings and innovations.
• 6. Documentation and Reporting:
  • Document methodologies, workflows, and results in a clear and reproducible format.
  • Present findings to both technical and non-technical audiences, including clinicians, researchers, and stakeholders.
• 7. Collaboration and Communication:
  • Work closely with supervisors Dr. Mamatha Bhat, Dr. Aman Sidhu, and Dr. Michael Brudno to align research goals and deliverables.
  • Engage with a multidisciplinary team of clinicians, computer scientists, and biostatisticians to advance project objectives.
• 8. Continuous Learning and Adaptation:
  • Stay up-to-date with the latest advancements in machine learning and data science, particularly in healthcare applications.
  • Adapt methods and tools as needed to meet project requirements and challenges

1. Educational Background (Mandatory):

• Ph.D. in Bioinformatics, Computer Science, Computational Biology, Machine Learning, or a related field.

2. Technical Expertise:

• Experience in analyzing high-throughput genomics and epigenomics datasets.
• Proficiency in at least one programming language (e.g., Python, R, Java, etc.).
• Solid knowledge of statistical methods and their application in data analysis.

3. Research Excellence:

• Proven track record of scientific achievement, evidenced by publication record in peer-reviewed journals.

4. Personal Attributes:

• Highly motivated, self-driven, and capable of working independently as well as collaboratively

5. Technical Skills:

• Proficiency in Python programming.
• Training or experience in statistics or machine learning is preferred.

6. Communication Skills:

• Strong verbal and written communication skills, with the ability to convey technical information effectively.

7. Collaboration and Independence:

• Demonstrated ability to work both independently and collaboratively within a team-oriented environment.

In addition to working alongside some of the most talented and inspiring healthcare professionals in the world, UHN offers a wide range of benefits, programs and perks. It is the comprehensiveness of these offerings that makes it a differentiating factor, allowing you to find value where it matters most to you, now and throughout your career at UHN.

• Competitive offer packages
• Government organization and a member of the Healthcare of Ontario Pension Plan (HOOPP https://hoopp.com/)
• Close access to Transit and UHN shuttle service
• A flexible work environment
• Opportunities for development and promotions within a large organization
• Additional perks (multiple corporate discounts including: travel, restaurants, parking, phone plans, auto insurance discounts, on-site gyms, etc.)

Current UHN employees must have successfully completed their probationary period, have a good employee record along with satisfactory attendance in accordance with UHN's attendance management program, to be eligible for consideration.

All applications must be submitted before the posting close date.

UHN uses email to communicate with selected candidates. Please ensure you check your email regularly.

Please be advised that a Criminal Record Check may be required of the successful candidate. Should it be determined that any information provided by a candidate be misleading, inaccurate or incorrect, UHN reserves the right to discontinue with the consideration of their application.

UHN is an equal opportunity employer committed to an inclusive recruitment process and workplace. Requests for accommodation can be made at any stage of the recruitment process. Applicants need to make their requirements known.

We thank all applicants for their interest, however, only those selected for further consideration will be contacted.