Postdoctoral Researcher – AI in Digital Health

At Johnson & Johnson, we believe health is everything.

Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com

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., word2ve...