Reference Number: 000001820
Posted Date: 5/5/2023
Closing Date: 6/15/2023

Department: LTRI
Position: Data Scientist






POSITION TITLE
Data Scientist


DEPARTMENT
LTRI


EMPLOYMENT TYPE
Temporary, Full-Time


HOURS OF WORK
37.5 hours per week


EMPLOYEE GROUP
Non-Union


REPORTS TO
Principal Investigator
Position Summary: Lunenfeld-Tanenbaum Research Institute is one of Canada?s leading biomedical research institutes offering a stimulating research environment, competitive salaries and comprehensive benefits. The Artificial Intelligence (AI) Data Scientist will work under the supervision of the Principal Investigator on a number of large-scale international research projects in the field of machine learning with application to cancer early detection. Specifically, the AI Data Scientist will work with quantitative analysis of medical imaging using deep learning in conjunction with clinical and epidemiological phenotype data. The AI Data Scientist will be involved in all aspects of research study development, funding, initiation, execution, analysis, result interpretation and presentation, and publication of results. The position will initially be for one year full-time with the possibility of renewal.
Education and Experiences: Doctoral degree in Computer Science, Medical Biophysics, Statistics, Epidemiology or related disciplines is preferable. Advanced skills and experiences in machine learning analytics, including deep learning approaches are required.
Salary will be commensurate with qualifications and experience.
Skills and Qualifications:

• Advanced knowledge and skills of implementing AI methods on medical images
• Well-developed computing skills with proficiency in statistical software and computer programming, such as R, Python, particularly the analytical framework developed for machine learning such PyTorch, TensorFlow, etc.
• Research experiences with medical images including but not limited to CT images
• Ability to define optimal statistical methodology and conduct data analysis in large complex datasets
• Proven experience of leading scientific manuscripts and have track records in international peer-review journals.
• Excellent organizational and communication skills to work with national-wide and international collaborators in Europe, Asia and North America.
• Ability to work with an interdisciplinary research team, including epidemiologists, clinician scientists, radiologists, molecular geneticists, and laboratory staff

Duties and Responsibilities: The position will involve various aspects of large-scale research projects focusing on machine learning, including

• Develop automated detection and segmentation tools
• Conduct deep learning analysis for medical images using multi-institutional medical images.
• Build and validate machine learning algorithms and prepare open-source codes
• Managing multifaceted consortium projects and liaise with international and local collaborators for specific research projects
• Lead specific projects with defined research questions
• Assisting funding and ethics applications
• Contribution to the preparation of project reports, and lead specific scientific publications and presentation in the conferences

How to Apply: Please submit CV, cover letter and contact information of three references on-line at Interfolio (http://apply.interfolio.com/124846). Posting open until June 15, 2023. We appreciate all expressed interests in this position, only those candidates shortlisted for interview will be contacted.
In accordance with Institute?s policy and legislated health and safety requirements, employment is conditional upon the verification of credentials, completion of a health review, and demonstrating proof of immunity and vaccination status of vaccine-preventable diseases. All employees and affiliates will follow safe work practices and comply with health and safety policies, procedures, and training. Successful candidates will be required to provide two (2) written reference letters from their former employer(s)/supervisor(s). To ensure the safety and wellbeing of all our people and patients, Sinai Health has made it a priority to support everyone in getting vaccinated against COVID-19. Consistent with this, our Staff Immunization & Surveillance Policy was recently updated to include the requirement for full vaccination ? currently defined as receiving two doses and serving a 14-day waiting period following the second dose ? in order to be able to work at Sinai Health. To be compliant with our updated Policy, you must provide proof of dual COVID-19 vaccination, as indicated on the Prospective Immunization and Surveillance Policy Information Sheet, in order to be eligible for employment at Sinai Health. If you believe you are one of the very few people who may require an exemption from vaccination, supporting medical information must be submitted to our Occupational Health department, who will review and assess. We are a fully committed to fairness and equity in employment and our recruitment and selection practices. We encourage applications from Indigenous peoples, people with disabilities, members of sexual minority groups, members of racialized groups, women and any others who may contribute to the further diversification of our Sinai Health community. Accommodation will be provided in all parts of the hiring process as required under our Access for People with Disabilities policy. Applicants need to make their requirements known in advance. The Lunenfeld-Tanenbaum Research Institute is a scent sensitive environment, and all members of the community are expected to refrain from wearing or using scented products while visiting or working at the Institute. We also support a barrier-free workplace supported by the Institute?s accessibility plan, accommodation and disability management policies and procedures. Should you require accommodation at any point during the recruitment process, including accessible job postings, please contact the Lunenfeld-Tanenbaum Human Resources Department.




Posting open until June 15, 2023. We thank all candidates for applying. Only those selected for an interview will be contacted.




Hours: 37.5 hours per week Contact Name: Apply through Interfolio
Contact Email: http://apply.interfolio.com/124846