Thank you for your interest in joining our team! We are always happy to hear from motivated students, postdocs, and researchers interested in seeing if HIVE lab might be the right place for them. Please contact [email protected] for more details or read more about what we do on the research page.
We are seeking a highly motivated Postdoctoral Fellow to develop novel machine learning and natural language processing (NLP) methods for health data. This project aims to integrate social and behavioural determinants of health into outcome predictions to improve the accuracy and value of clinical decision-making at both personalized and population levels.
The Postdoctoral Research Fellow will be responsible for developing a full data science pipeline from data collection to deployment. The individual will need to collaborate with an interdisciplinary team of clinical epidemiologists, biostatisticians, and engineers to develop novel machine learning and natural language processing methods for (un)structured health data. The role will also involve deploying and integrating the developed pipeline with other related projects in the lab. Other responsibilities include writing manuscripts, project management, and contributing to the grant writing efforts of the lab.
The candidate must have a PhD (or MD/PhD) in a quantitative field such as Computer Science, Bioinformatics, Biostatistics, Data Science, Medical Informatics, Computational Healthcare, or a related field and a track-record of publication in the top journals or conferences of their field. Excellent programming skills and skills in machine learning, NLP, and data engineering are required for this position. Experience of working with health data, Electronic Health Records (EHR), and familiarity with web development and information visualization are assets.
All individuals interested in this position must submit a (1) detailed CV; (2) a cover letter outlining their expertise and motivations; (3) PDFs of their three publications that best represent their expertise; and (4) three references contact to [email protected] with (POSTDOC-22) in the subject.
Closing date: This posting will remain active until the position is filled.
Expected start date: ASAP
Term: Initial term of 1 year with a strong possibility of renewal.
FTE: This position is a 1.0 FTE. The normal hours of work are 40 hours per week for a full-time postdoctoral fellow (pro-rated for those holding a partial appointment) recognizing that the needs of the employee’s research and training and the needs of the supervisor’s research program may require flexibility in the performance of the employee’s duties and hours of work.
Employment as a Postdoctoral Fellow at the University of Toronto is covered by the terms of the CUPE 3902 Unit 5 Collective Agreement.
This job is posted in accordance with the CUPE 3902 Unit 5 Collective Agreement.
The University of Toronto is strongly committed to diversity within its community and especially welcomes applications from racialized persons / persons of colour, women, Indigenous / Aboriginal People of North America, persons with disabilities, LGBTQ persons, and others who may contribute to the further diversification of ideas.
Thank you for your interest in HIVE Lab. Please note that we are not accepting applications for new MSc or PhD students for Fall 2023. However, we encourage you to keep an eye on our updates as we will be introducing new graduate positions for Fall 2024. As we move forward, we are excited to connect with you and learn more about your interests. Thank you for considering us in your academic journey!
HIVE Lab at the University of Toronto’s Institute of Health Policy, Management and Evaluation is seeking passionate volunteers to join our diverse team. We are a collaborative group of data scientists, epidemiologists, and software developers at the cutting edge of Machine Learning, AI, Information Visualization, and Health Informatics.
As a team, we are driven by our commitment to integrating data from various sources and scales, developing innovative methodologies, and creating open source tools aimed at promoting health at both individual and population levels. We actively seek to foster national and international collaborations to further our mission of health equity.
While proficiency in all these areas is beneficial, it is not a strict requirement. We value a diverse range of experiences and skill sets, and we encourage all interested candidates to apply.