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The Laboratory of Professor Etienne De Villers-Sidani is seeking a highly motivated and qualified Research Associate to join its team.

The laboratory develops digital biomarkers of brain function derived from eye-tracking and speech/voice recordings, with the goal of detecting and monitoring neurological disorders (e.g., neurodegenerative, neuroimmunological and neuromuscular diseases). Reporting to the principal investigator, the incumbent will act as the lab's data scientist: designing, implementing and validating algorithms on multimodal clinical datasets, and independently writing up and communicating the results in the scientific literature.

Main Responsibilities

- Design, implement and optimize signal-processing, statistical and machine-learning algorithms for eye-movement (oculomotor) and voice/speech data.
- Validate algorithms against clinical reference standards: accuracy, reliability (test–retest), longitudinal sensitivity to change, and generalizability across cohorts.
- Curate, quality-control and analyze large multimodal clinical datasets; maintain reproducible, documented analysis pipelines and code.
- Draft peer-reviewed scientific articles with a high degree of autonomy (from analysis plan to submission and response to reviewers), as well as abstracts, reports and grant sections.
- Present findings at lab meetings and scientific conferences,



and communicate effectively with clinicians, engineers, trainees and local, national and international collaborators.

Required Qualifications Education: PhD in computer science, engineering, mathematics/statistics, computational neuroscience or a related quantitative discipline. Computing: Advanced programming skills (e.g., Python and/or R, MATLAB; scientific and ML libraries), with sound software practices (version control, reproducible pipelines).

Mathematics: Robust mathematical and statistical background (signal processing, time-series analysis, machine learning, mixed-effects/longitudinal models, diagnostic-accuracy statistics).

Scientific writing: Demonstrated ability to write scientific articles autonomously, evidenced by a first-author publication record.

Communication and autonomy: Ability to work independently, manage several projects in parallel and communicate complex results clearly to multidisciplinary audiences.

Assets

- Experience with eye-tracking, speech/audio or other physiological or biomedical signals.
- Experience with clinical or health research data.
- Knowledge of neuroscience or neurological disorders.

This position is covered by the AMURE collective agreement: http://www.aerum-amure.ca/wp-content/uploads/2023/07/AMURE-2023-2027.pdf Before applying, please note that to work at McGill University,



you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located.

McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing. The level of English required for this position has been assessed at a level 4 on a scale of 0-4.

Salaire Horaire

$35.37

Heures Par Semaine

40 (Temps plein)

Lieu

Neuro. Montréal

Superviseur

Professeur agrégé

Date De Début De L’emploi

2026-09-28

Date De Fin De L’emploi

2027-03-27

Date Limite Pour Postuler

2026-09-23

Ce poste est couvert par la convention collective de l’Association des employés de recherche de l’Université McGill (AMURE).

L’Université McGill recrute sur la base du mérite et s’est fermement engagée à promouvoir et instaurer l’équité et la diversité au sein de sa communauté. Nous accueillons favorablement les demandes d’emploi des personnes racisées et de minorités visibles, des femmes, des personnes autochtones, des personnes handicapées, des minorités ethniques, des personnes de toute orientation et identité sexuelles, ainsi que toute personne possédant les aptitudes et les connaissances lui permettant de travailler en collaboration avec diverses communautés. L’Université McGill met en œuvre un programme d’équité en matière d’emploi et invite les membres des groupes visés à indiquer leur appartenance à ces derniers dans leur dossier de candidature.

Les personnes handicapées qui pourraient avoir besoin d’accommodements à n’importe quelle étape du processus de candidature sont invitées à communiquer en toute confidentialité, [email protected].

📌 Associé(e) de recherche (Montreal)
🏢 McGill University
📍 Montreal