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Scientific Associate Ii
4 months ago
Job Posting #:922801
JOB TITLE: Scientific Associate II
Union: Non-Union
Site: Princess Margaret Cancer Centre
Department: Department of Medical Oncology & Hematology
Reports to: Sr. Clinical Research Manager
Wage or Salary Range: $72,443 - $90,558 per annum
Hours: 37.5 hours per week
Status: Permanent Full-time
The University Health Network, where “above all else the needs of patients come first”, encompasses Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre, Toronto Rehabilitation Institute and the Michener Institute of Education. The breadth of research, the complexity of the cases treated, and the magnitude of its educational enterprise has made UHN a national and international resource for patient care, research and education. With a long tradition of ground breaking firsts and a purpose of “Transforming lives and communities through excellence in care, discovery and learning”, the University Health Network (UHN), Canada’s largest research teaching hospital, brings together over 16,000 employees, more than 1,200 physicians, 8,000+ students, and many volunteers. UHN is a caring, creative place where amazing people are amazing the world.
About the Program
About the Role
We are looking for a Scientific Associate with machine learning experience to join the PanCuRx Translational Research Initiative and our Machine Learning 4 Oncology team at the Princess Margaret Cancer Centre, University Health Network. The team works in close collaboration with graduate students, bioinformaticians, clinicians, and other machine learning groups. This role requires experience in using a range of ML/AI methodologies to complete the ML development cycle (research & data mining, model development & validation, and implementation). You will work on novel research questions and translational healthcare technologies to facilitate the acceleration of cancer research, the identification of clinically-important biomarkers, and the understanding of patient populations. You will have the option to work on-site or hybrid, with flex-hours.
- Responsibilities:
- Design, code, implement, and present data processing tools and analysis pipelines for a variety of different data types
- Build predictive models, make improvements, and troubleshoot independently and with our team to solve novel problems
- Interpret and communicate technical results and methods clearly with a wide range of audiences
- Be well informed about current trends in ML and AI
- Work openly and collaboratively; share knowledge with enthusiasm and empower your colleagues
- Work on multiple concurrent projects and products, effectively following timelines, goals, and cross-functional collaborations
- Write reports, papers and reviews and present findings in journals and conferences
- Qualifications:
- PhD degree in machine learning, computer science, bioinformatics, statistics, applied mathematics or related disciplines, or masters degree in similar fields with 3+ years of experience
- Excellent communication skills and ability to utilize a collaborative approach to solving challenging problems
- Experience with Python (Scikit-learn, Pandas, etc.), deep learning frameworks (TensorFlow or PyTorch), version control (Git), and use of computing clusters
- Experience with biomedical data types, topics, and scientific challenges and approaches preferred.
Post Date: July 19, 2023 Closing Date: Until filled
**Why join UHN?**
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
- 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.
Vaccines (COVID and others) are a requirement of the job unless you have an exemption on a medical ground pursuant to the Ontario Human Rights Code.
UHN is a respectful, caring, and inclusive workplace. We are committed to championing accessibility, diversity and equal opportunity. Requests for accommodation can be made at any stage of the recruitment process. Applicants need to make their requirements known in advance. Any information received related to an accommodation will be addressed confidentially.
University Health Network thanks all applicants, however, only those selected for an interview w
