Postdoctoral Fellow (Autism Research Centre)

at  Holland Bloorview Kids Rehabilitation Hospital

Position title: Post-Doctoral Fellow (Autism Research Centre)
Status: Temporary Full-time (1.0 FTE)
Start date: September 1, 2024 (1-year contract with potential for renewal depending on funding and performance)
Lab: Autism Research Centre
Supervisor: Azadeh Kushki
Program: Bloorview Research Institute
Join us in building a world of possibility! Holland Bloorview Kids Rehabilitation Hospital is Canada’s largest pediatric rehabilitation hospital. We are a top 40 Canadian research hospital that is fully affiliated with the University of Toronto, and we serve over 8,500 families annually.
Our vision is to support the most meaningful and healthy futures for all children, youth and families. Providing both inpatient and outpatient programs and services, Holland Bloorview is renowned for its expertise in partnering with clients and families to provide exceptional care and is the only organization to ever achieve 100 per cent in three successive quality surveys by Accreditation Canada. Holland Bloorview has won numerous awards including Greater Toronto’s Top Employers, Canada’s Top Employers for Young People and Canada’s Most Admired Corporate Cultures. We offer an inspiring, inclusive, innovative, and collaborative work environment with competitive compensation and benefit packages and programs that support ongoing learning and professional growth.
Applications are invited for a postdoctoral fellow with interest and expertise in machine learning/data science. He/she/they will develop innovative algorithms that improve the understanding of neurodevelopmental conditions and contribute to development of technology-based supports for children. In that context, he/she/they will collaborate with engineers, clinicians, and third-party researchers and laboratories.
Our lab is committed to fostering a climate of equity, diversity, inclusion, and accessibility. This commitment is central to, and mutually supportive of, our research excellence mandate. We welcome and respect the diversity of all members of our community and we support an inclusive culture for our clients, families, research scientists, staff, participants, trainees, volunteers, trustees, and partners. We welcome applications from Black individuals and other racialized persons, Indigenous Peoples, women, persons with disabilities, LGBTQ2SA+ persons, and others who may contribute to further diversification of ideas within our community. We are committed to fair assessment of a candidate’s abilities, and consideration for diversity of thought, method, and experience, including non-traditional career paths. Accommodation will be provided in all parts of the hiring process where needed.

MINIMUM KNOWLEDGE, SKILLS & ABILITIES

• Recent PhD in engineering, computer science, or related field (Required)
• Track record of academic publications
• Expertise with statistics, data visualization, and machine learning methods
• Proficiency with Python and/or R, specifically related to statistics and machine learning
• Experience analysing clinical research data, such as clinical assessments, survey data, or neuroimaging data (transferable skills also considered)
• Experience communicating research results, including written and oral

• Perform data analyses for clinical research studies. Analyses may include cleaning/aggregating large datasets, visualizing data, statistical analysis, signal processing, machine learning, etc.
• Author manuscripts for publication in peer- reviewed journals
• Contribute to writing and submitting grant applications
• Support the training and supervision of research students
• Manage multiple on-going projects
• Maintaining the privacy and security of data being analyzed by following hospital best practices and procedures