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Job Function:

Career Programs

Job Sub Function:

Post Doc – Data Analytics & Computational Sciences

Job Category:

Career Program

All Job Posting Locations:

Toronto, Ontario, Canada

Job Description:

Description:

The Data Science Analytics & Insights team is actively searching for a highly motivated

and visionary postdoctoral researcher, with a primary research focus on innovative

Artificial Intelligence/Machine Learning (AI/ML) algorithms to extract valuable insights

from structured and unstructured multimodal data sources. We are particularly

interested in candidates with expertise in speech analysis and/or natural language processing (NLP) and a deep passion for making a meaningful impact through their work. Your contributions will involve developing and validating AI/ML solutions to solve complex problems across various therapeutic areas within the organization.

Key responsibilities:

• Conceive, develop, and validate AI/ML solutions for high-priority scientific

  research projects.

• Extract, analyse and interpret multimodal data (including speech and/or text) from various sources.

• Participate in cross-functional collaborations with internal stakeholders and

  external partners.

• Clearly communicate the state-of-the-art methods and results to diverse audiences

  and partners to support decision-making.

• Publish findings in top-tier journals and conferences.

Required qualifications:

• A Ph.D. degree in AI/ML or a related field (e.g., computational linguistics,

  computational biology, computational neuroscience, computer science, data

  science, applied mathematics, statistics, electrical engineering, signal

  processing) obtained within the last 2 years or to be completed within the next 3

  months.

• Proven track record of applying advanced AI/ML techniques, supported by

  publications in peer-reviewed journals and conferences.

• Experience with standard analytical techniques (e.g., logistic regression, support

  vector machines, random forest, boosting, ensemble methods) and advanced AI

  methodologies (e.g., convolutional neural networks, recurrent neural networks,

  attention models, transformers).

• Experience with acoustic speech analysis techniques and models (e.g., openSMILE, librosa, Whisper, HuBERT, WavLM, wav2vec).

• Experience with basic and advanced NLP techniques (e.g., word2vec, wav2vec,

  Whisper, BERT, GPT) and its applications in linguistic analysis.

• A good understanding of various speech features (acoustic and linguistic) and their corresponding constructs that they capture (e.g., speech timing).

• Experience with applications of LLMs to acoustic and linguistic analysis would be a plus.

• Knowledge of statistical methods.

• Proficiency in one or more programming languages (e.g., Python).

• Experience with software development tools (e.g., Git).

• Analytical mindset and critical thinking.

• Ability to continuously learn and acquire new knowledge and skills.

• Ability to optimally communicate technical work to a wide and diverse audience,

  both in oral and written forms.

• Ability to work both independently and in a diverse, multidisciplinary team.

• Passionate about leveraging data to drive scientific innovation.

Preferred (“nice-to-have”) qualifications:

• Experience in analysing speech and actigraphy data.
• Experience in analysing biomedical data.
• Background in biology or a related field (e.g., neuroscience).
• Expertise in one or more disease areas (e.g., mental health).
• Familiarity with the processes of drug discovery, safety and development.
• Experience in analysing speech recorded during conversations (e.g., recorded during interview).